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2 episodes with rekognition
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2 episodes with rekognition
2 episodes with rekognition
2 episodes with rekognition
2 episodes with rekognition
2 episodes with rekognition
Dans cet épisode de Déclic Numérique, nous explorons les biais algorithmiques, ces anomalies dans les résultats des systèmes d'intelligence artificielle (IA) qui peuvent avoir des conséquences graves sur notre quotidien. Nous expliquons ce qu'ils sont, pourquoi ils apparaissent, et comment ils impactent des domaines comme le recrutement, la reconnaissance faciale ou la publicité ciblée.Voici quelques points clés abordés : • Recrutement biaisé : Amazon a dû abandonner son outil d'IA qui discriminait les femmes en raison de données historiques biaisées. • Reconnaissance faciale : Des systèmes comme Rekognition d'Amazon montrent des taux d'erreurs plus élevés pour les femmes et les minorités. • Publicité ciblée : Les algorithmes favorisent parfois certains groupes sociaux ou géographiques, amplifiant les inégalités. Nous discutons également des solutions pour détecter, mesurer et corriger ces biais tout au long du cycle de vie des modèles d'IA. Sources citées dans l'épisode : 1. Définition et types de biais algorithmiques : https://www.quantmetry.com/glossaire/biais-algorithmique/ 2. Exemples concrets de biais dans l'IA (Amazon Rekognition) : https://datascientest.com/intelligence-artificielle-biais-ia 3. Cas Amazon et biais dans le recrutement : https://www.journaldunet.fr/intelligence-artificielle/guide-de-l-intelligence-artificielle/1501319-biais-algorithmique-en-ia/ 4. Reconnaissance faciale et biais liés aux données d'entraînement : https://datasociety.net/research/algorithmic-bias/ 5. Solutions pour corriger les biais (IBM) : https://www.ibm.com/fr-fr/topics/ai-bias----------------------------------DSI et des Hommes est un podcast animé par Nicolas BARD, qui explore comment le numérique peut être mis au service des humains, et pas l'inverse. Avec pour mission de rendre le numérique accessible à tous, chaque épisode plonge dans les expériences de leaders, d'entrepreneurs, et d'experts pour comprendre comment la transformation digitale impacte nos façons de diriger, collaborer, et évoluer. Abonnez-vous pour découvrir des discussions inspirantes et des conseils pratiques pour naviguer dans un monde toujours plus digital.Hébergé par Ausha. Visitez ausha.co/politique-de-confidentialite pour plus d'informations.
Jelang natal 2024 dan tahun baru 2025, peningkatan volume penumpang sudah tampak di Stasiun Pasar Senen. Kini Stasiun Pasar Senen sudah menyediakan face rekognition bagi masyarakat yang akan bepergian dengan menggunakan kereta api jarak jauh atau KAJJ untuk mengurai antrian.
Jelang natal 2024 dan tahun baru 2025, peningkatan volume penumpang sudah tampak di Stasiun Pasar Senen. Kini Stasiun Pasar Senen sudah menyediakan face rekognition bagi masyarakat yang akan bepergian dengan menggunakan kereta api jarak jauh atau KAJJ untuk mengurai antrian.
Since the creation of the U.S. Digital Service in 2014, several federal agencies have chartered associated offshoots, like the VA, the DOD, and the Centers for Medicare and Medicaid Services, injecting modern, digital principles into the mission work at those agencies. At CMS in particular, the digital service team plays an integral role working to transform how the federal government delivers healthcare to the American people. Andrea Fletcher is the head of that team, and she joins me in part one of a two-part episode for a wide-ranging discussion on the history of Digital Service at CMS, the major themes and challenges the team faces, and what's next. The Federal Bureau of Investigation is using artificial intelligence to mine tips about potential threats but is revealing little about how the system actually works. Specifically, the bureau is using a system it calls the “Complaint Lead Value Probability” to prioritize tips by conducting algorithm scores and triaging, according to two versions of an agency AI disclosure. The technology, which is meant to help sort through the tips the FBI receives, is one of several AI tools employed by a bureau that also uses Amazon's Rekognition software and drug signature algorithms. The Department of Labor is spelling out how artificial intelligence can boost job quality without harming the rights of workers, releasing a roadmap last week that aims to empower workforces in underserved communities as use of the emerging technology proliferates. The 17-page document, titled “Artificial Intelligence and Worker Well-Being: Principles and Best Practices for Developers and Employers,” details eight key priorities for AI companies and management to follow that are intended to keep the focus on “centering worker empowerment and well-being.”
The Advanced Series Part 2 Rekognition - For Advanced Users Jeffery Anderson is back, taking us into the lab and sharing insights from one of the sharpest minds in the industry. In 2021, he sold his business and has now invested in a tea company. Jeffery excels in creating technical processes for big sellers and agencies and offers software training. He also operates a training and recruitment center in the Philippines focused on software skills. What's getting covered this week in the lab? Pre-purchase questions discovered by Rufus Post-purchase objections using AI and reviews Real customer video walkthrough using ProductOpinion Creative brief for graphic designers Amazon Rekognition (super advanced level) Amazon listing generator (surprise results) and the downfall of trusting Amazon Rekognition We're committed to transparency, showing you the creation process live, without holding anything back. Stay tuned for a series that promises to deliver actionable content and resources by its end. Follow along on Youtube
The Advanced Series Part 1 The Connection Between Rufus, Rekognition, and Comprehend. Today, I'm with Jeffery Anderson. He sold his business in 2021 and recently invested in a tea company. Jeffery's expertise lies in technical processes tailored for large sellers and agencies, along with providing software training. Additionally, he runs a training and recruitment center in the Philippines that specializes in software skills. There's quite a buzz in the community about Rekognition and Comprehend. However, many aren't sure what they're looking for or how to scale these tools effectively. Diving deeper into the technical aspects is key to unlocking their full potential. Join us as we embark on a practical journey to optimize a listing, where we'll be piecing together the process step-by-step. In our introductory episode tomorrow, we dive into the initial findings and set the stage for what's to come. Throughout this series, consider us your R&D team, dedicated to crafting a repeatable method for updating an entire catalog with the help of tools like Comprehend and Rekognition. By the conclusion of two or three episodes, we'll be ready to share valuable SOPs and detailed process maps. Expect to gain insights on: Initial observations using Rekognition and Comprehend. The strategy behind analyzing Rufus through these innovative lenses. A comparative look at Rekognition versus Amazon's Listing Creator. The development of a process map from scratch. We're committed to transparency, showing you the creation in the process live, without holding anything back. Stay tuned for a series that promises to deliver actionable content and resources by its end. Follow along on Youtube and Take Notes?
El sector sanitario es uno de los que pueden beneficiarse en mayor medida con el uso de técnicas basadas en la inteligencia artificial, en ámbitos como por ejemplo el diagnóstico. Hablamos con Jordi García Castillón, fundador y CTO de eHealthAI sobre la plataforma desarrollada con tecnología de AWS para la detección de cáncer de piel con visión por computador. Retos, sesgos observados, regulaciones en el ámbito sanitario y más en este capítulo.Albert Capdevila es un arquitecto de soluciones de AWS basado en Barcelona, ayudando a los clientes a construir sus cargas en AWS de acuerdo a las mejores prácticas. Después de más de 15 años trabajando en proyectos en el ámbito de las arquitecturas de integración, lleva ya 4 años focalizado en el cloud y en el AI/ML.Albert está actualmente trabajando en un modelo de predicción del tiempo libre que sus hijos le van a dejar para poder ir a escalar montañas.Contacta con Albert Capdevila en LinkedIn en https://www.linkedin.com/in/albertcapdevila/Jordi Garcia Castillón es experto en inteligencia artificial y ciberseguridad. Está altamente especializado en AWS: AWS Community Builder, User Group Leader, Startup, Partner y DeepRacer Pro. Trabaja como consultor independiente, advisor y startups founder. Actualmente es el founder, CEO - CTO y CISO de eHealthAI entre otras compañías.Contacta con Jordi García Castillón en LinkedIn en https://www.linkedin.com/in/gcjordi
What's up everyone,If you haven't checked out our previous 3 episodes in our AI series you might want to before this episode, we give you a lot of context around some of the events that have happened and will shape the conversation today.So basically How fast could AI change or replace marketing jobs? How marketers can stay informed and become AI fluent Exploring new paths to future-proof your marketing career in the age of AI Today we're diving into specific tools… there's a lot of noise out there right now.What tools you should play around withIn TMW #107 | ChatGPT and the artificial marketer, Juan Mendoza explains that“...generative AI tools are already everywhere. From text generation to video and audio production, to image creation, there's a thriving industry of technologies taking small slices out of our creative talents, packaging them up, and selling them as a SaaS product on a recurring revenue model. If you're wanting to stay relevant five years from now in the marketing technology industry, you're probably going to have to learn some of these platforms. In 2010 we used to say: “there's an app for that”. In 2023, we will be saying: “there's an AI for that.””OutlineHere are some of the topics for this third AI episode: Key AI technology definitions and how to differentiate real AI tools vs all the noise out there Deep dive into tools Content marketing tools Email and marketing automation tools Predictive analytics tools Text to presentation and pitch deck tools 3D animation tools for product marketers Sales and outreach tools Text to website creator tools Ad and social creative tools AutoGPT and AI agents And a bunch of other tools like conversational search engines, 1-1 convos with celebrities and an even longer list of honorable mentions Here's today's main takeaway:The key to future proofing your marketing career with the ever changing AI landscape is to stay curious, get your hands dirty and experiment fearlessly: Fill out some forms, spin up free trials, get on wait lists, and give new AI tools a chance. It's only by actually getting your hands dirty that you'll discover which tools truly work for you and which are just part of the ever growing sea of gimmicky AI tools.Definition of tech termsI'll be using some of these terms throughout my analysis of some of these tools so here's a primer explaining the three most common AI technologies used for marketing applications: MLMachine Learning): ML is a way to teach computers to learn by themselves, without having to be programmed for every task. They learn from examples and data patterns to make predictions or decisions. Applications include segmentation, predictive analytics and propensity models. NLPNatural Language Processing: NLP is a subset of ML and focuses on enabling computers to understand, interpret, and generate human language. Includes sentiment analysis, machine translation, named entity recognition, text summarization, and more. NLP techniques usually helps computers understand and communicate with humans using everyday language. GNNGraph Neural Network: GNN also a subset of ML is a type of neural network that aims to handle graph-structured data, data organized like a network or web of connected points. Applications include analyzing relationships between different things like users in a social network or users in your database or recommending additional products based on past purchase history. Real AI vs noisePart of the reason AI gets a really bad rep, especially in martech, is that anything that's built on if statements or simple Javascript logic gets called AI. There's still plenty of AI startups that shout about their proprietary AI when it's probably just a few decision trees and a few interns running spreadsheets.Now though, you have an even bigger bucket of noise that's essentially “slight tweak on Chat-GPT”. Developing AI that was comparable to human performance was a challenging feat prior to GPT's arrival. To achieve this level of sophistication, a company would have had to: make a substantial investment, amounting to millions of dollars developing its own algorithms performing extensive data cleanup But it's so easy now because GPT is so good out of the box. Allen Cheng puts it simply. Starting a new AI venture can be achieved by simply assembling a few elements: a product developed on GPT-4's user-friendly API a website, and a marketing campaign. This is why we're seeing hundreds of AI tolls pop up every week.A lot of these GPT-based products are pretty much indistinguishable from one another. Maybe a handful have a significant advantage over others but most are gimmicky. And over the next few months, every tool is going to be integrating ChatGPT features inside their products in the hopes of making it stickier.The threat of GPT-nThe part that I find trickiest and the most discouraging about building anything on top of GPT is that any progress you make on fine tuning GPT-4 will totally be wiped out by GPT-5 or GPT-n… Kind of like we talked about in a previous episode with all the tools GPT's plugins killed. So let's cut through the noise and dive into legit AI tools, the ones you should be playing with and experimenting. Content marketing toolsCopy.ai and Jasperhttps://copy.ai/ https://jasper.ai/ AI text generators are very common these days, the two most popular tools, especially for marketers are Copy.ai and Jasper. Both allow you to bypass the initial stage of writing where you face a blank page. The promise of these tools is that they help you in generating ideas, saving time on brainstorming and drafting, and ensuring a consistent production flow, freeing you to focus on higher-level strategic tasks, original research, and connecting with your audience.I've played around with both Jasper and Copy.ai before ChatGPT came out… and they were super unique. But both Copy.ai and Jasper are built on top of GPT, they essentially rent usage of the platform. So they built a pretty nice UI on top of GPT… but now that ChatGPT came out, I'm sure they've seen a drop in usage. Plus GPT-4 is 3 times more expensive.They still offer marketing specific value though and can get you up to speed faster than using CGPT in the form of templates, prompts and workflows. Both are super powerful, you could make a case that Jasper outshines its counterpart a bit, especially on the longer content format but it's also way more expensive. Miguel Rebelo from Zapier has a solid breakdown comparison here https://zapier.com/blog/jasper-vs-copy-ai/ GramarlyGOhttps://www.grammarly.com/grammarlygo Grammarly, the popular spelling and grammar checker which has been using AI for over a decade already, also entered the generative AI niche last month unveiling GrammarlyGO. You guessed it, built on GPT. It has a particular advantage because Grammarly is already widely used and this is just an extra feature so to speak. Instead of just checking your grammar it can now also help you with drafting documents, composing and responding to emails, editing writing for tone, clarity, and length, and brainstorming ideas or outlines for projects within the apps you're already working in. Lots of tools are going the Grammarly route in adding GPT features to their product, like Notion and more recently Superhuman.Other AI writing toolsSome of these specialize in SEO, some in long form content, some in short form… they all do similar things:Copysmith https://copysmith.ai/ Anyword https://anyword.com/ Writesonic https://writesonic.com/Copymatic https://copymatic.ai/ Yaara https://www.yaara.ai/ Rytr https://rytr.me/ Frase https://frase.io/ EmailEmail is just a channel of potential generative content tools so it's not totally distinguishable from the tools we chatted about in the content category. Chances are that the Marketing Automation platform or the customer engagement platform you're already using as a suite of features they are throwing AI next to. Most of these though are just ML. Some tools like Iterable and Braze have propensity models to find users that are likely to perform a purchase event, that's ML, and it's only based on your data set. Some tools like Seventh Sense throw AI in front of Send Time Optimization features, these have been around for a long time and are only based on your recipients. This is also ML. Some tools throw AI in front of Sentiment Analysis features allowing you to analyze and classify the emotional tone of text into useful data. This is a subset of NLP that uses ML. Some tools like 6sense throw AI in front of conversational email assistants that are supposed to be a step up from static drip emails sequences. This is also a form of NLP and generative AI. You're likely to start seeing copy assistants and additional AI features powered on GPT inside of these tools. I wanted to chat about one product that I feel like stands out from others in terms of being built around AI rather than it simply being a feature on the side.Persadohttps://www.persado.com/ One example I've seen (but haven't used myself) of a CEP using more advanced AI is a tool called Persado. The two co-founders are former founders of Upstream in the mobile marketing space. Similar to 6sense's conversational email platform, they've been around for a decade and they claim to leverage NLP + ML to create, optimize, and personalize engagement messaging. So they essentially analyze a bunch of data and identify the most effective emotions, CTAs, language, phrases to drive engagement. It's worth calling it out because it's more than just predicting user behavior and optimizing the best time to send a message, it takes it a step further by also incorporating NLP techniques, understanding the nuances of human language, and generating custom marketing messages that resonate with a unique user. One thing that makes Persado unique is it's not built on GPT, it has its own model that's trained on more than 100 billion digital business language impressions across industries. Potentially less data points than GPT but arguably better and more relevant impressions. As Lisa Spira, VP of Content Intelligence at Persado explains in an interview with Martechseries, “models like OpenAI's ChatGPT are trained on the entire “Wild West” of the Internet, so their results, while delivered confidently by the model, can be riddled with inaccuracies, or even offensive content”. She adds that “Generative AI tools might be capable of writing anything, but we're able to cut through that noise, and train our generative AI to write in a way that motivates recipients to take actions: to open an email, convert on a shopping cart webpage, or stop scrolling and click on a social media ad.”And not just generative AI. Persado is pushing a term called Motivation AI and they have a really cool example of it. Let's say you're in D2C and you're selling sweaters. Generative AI gives you level 1 and 2 content which is Intelligibility and Relevance so it might spit out content like: Sweaters are a knitted garment that usually have long sleeves and are designed to be worn over other clothing In the fall, sweaters provide an extra layer of warmth in the cooler temperatures. They are stylish choice for fall fashion because they come in a variety of colors and styles But the next stage of this is including Emotion to get an output like this:You're going to love these cozy sweaters for fallAnd the following stage, where Persado claims to play is Motivation where you would get an output like this:A cozy invitation: indulge in our luxuriously soft sweaters this fallNow this might all be semantics. I'd argue that with great prompting you can get to generative content that includes motivation and emotion. Optimovehttps://www.optimove.com/ This tool could actually go in the CRM, the CDP or even the email category with the acquisitions they've made in the last few years but another name that I've heard a few times is Optimove. They play in the enterprise arena and primarily serve retailers and gaming operators but they have an interesting suite of AI tools for marketers. I've personally not used the tool but they claim to provide personalized recommendation campaign orchestration with their AI-based marketing bot (Optibot). It provides what they call self-optimizing campaigns that are essentially advanced A/B/n campaign testing that automatically serves the best treatment to individual customers through the use of ML. Source: https://www.optimove.com/pdf/Optimove-Product-Features.pdf Predictive AnalyticsPredictive analytics is a super cool niche of AI application. It essentially enables us to anticipate trends and patterns of consumer behavior based on a bunch of user data. Done right, you can do cool things like uncover users ready to buy amongst a sea of tire kickers, find free users primed for upsells and anticipate customers about to churn.Vidora Cortex (mParticle Intelligent Attributes)https://www.vidora.com/platform/ I wanted to start by calling out a few no-code / low-code predictive analytics / ML pipeline platforms. There's not a ton in this space but it has been growing over the past few years. Many of the big analytics players like Qlik's AutoML, IBM's Watson Studio, Amazon SageMaker, Google's AutoML, have a ML specific tool that does this but it's built for data scientists. Vidora is worth calling out here because it was built more for knowledge workers.Vidora was founded by 3 academics while pursuing their Ph.Ds Caltech and Berkeley, they built systems that utilized machine learning to convert raw data into informed decisions. Their initial vision was to democratize machine learning capabilities. They are a small 20 person startup in SF but their product offers huge potential, so much so that they were acquired by mParticle, a popular CDP. Vidora's platform, Cortex, provides you with the ability to build distinct pipelines for your customer data, so you can then produce various predictive attributes tailored for particular applications. For example if your goal is to identify the customers with the highest probability of purchasing your product in the next 30 days, the pipeline allows you to enhance your retargeting ROI by focusing on this user segment. Similar: https://www.pecan.ai/ https://www.akkio.com/ 6sensehttps://6sense.com/It's worth highlighting 6sense here as well. Not specifically an ML tool but it has a wider set of use cases that are a mix of intent data and predictive analytics and a slice of lead scoring… but they've been around for a decade. They use real-time data about your buyers to predict their buying intent and what their current purchasing stage might be. They uncover some of the magic in a blog post about their predictive engine here. They claim to be using: Intent data, web visits, content engagement (1st party) and 3rd party user behavior data from all over the Internet Historical data, events that led up to sales in the past ICP, firmographic and technographic data So they layer intent data on top of historical data and filter it through your ICP and the output is a target list of accounts that show intent to buy and are a good fit for your solution.The secret sauce here is really the 3rd party intent data. This is hidden data that they are able to assign to leads and accounts. Part of the source here is 6sense's proprietary intent network and other B2B review sites like G2, TrustRadius, and PeerSpot.Kumohttps://kumo.ai/ Founded by Jure Leskovec, former Stanford University computer science professor who's known for his bold assertion that AI would eventually be capable of predicting the future. He partnered with the former CTO of Pinterest and Airbnb as well as the former Head of Growth AI at LinkedIn to build Kumo.Using Kumo, companies can not only analyze past events but also predict future opportunities. Kumo uses GNNs (Graph Neural Networks) to identify patterns and relationships in complex data sets that cannot be easily analyzed using traditional statistical or machine learning techniques. This essentially allows marketers to anticipate customer behavior (how much they will spend, which new products they will be more interested in, things that would make them leave for a competitor) and offer personalized product recommendations, promotions, and communication.Predictive analytics isn't a new concept though. We talked a bit about this in our first episode when we mentioned propensity models which tons of larger companies employ today. But this is operationalizing it a step further and not just on your company's datasets. And imagine unlocking this capability for startups. So the idea is that marketing operations teams would change their focus to future customer behaviors. PresentationTomehttps://beta.tome.app/ There are countless AI productivity tools that are all super similar. But one that's been buzzing lately is Tome. They are founded by product leads from Facebook and Instagram, and recently got $43 million in their Series B funding round. They launched an innovative document-to-presentation AI tool, which utilizes GPT-4 to generate text and images and transform a document into compelling presentations, narratives, and stories. Tome's tile system sets it apart from other generative PowerPoint tools on the market and gives Microsoft a run for its money. Not only does it offer robust functionality, but it also boasts a sleek and impressive design.https://gamma.app/ 3D AnimationSpline AIhttps://spline.design/ai Spline AI was created by Alejandro León, it's a YC21 startup that's building a 3D design platform comparable to Figma, it basically allows you to convert text to 3D. For decades, creating in 3D has been super hard. Spline is changing this.You can easily create objects and scenes, edit objects, colors, and properties, add physics and randomness, create animations and events, generate style alternatives, collaborate with others in real-time, and much more. The applications for videos and product marketing are endless here, see a demo here. SalesAI-powered sales tools are popping up every week. Especially in the niche of email outreach. Personalization, subject line optimization, send-time optimization, sales rep coaching, auto suggest follow-up cadences… just a few of the areas where AI can enhance your email campaigns. NLP can analyze email responses and suggest appropriate next steps, helping your sales team respond efficiently. There's tons of players in this space like Cresta, Lyne, Regie. Cresta was funded out of the AI Grant program organized by some of the brightest tech minds in AI. Their founder, S. Zayd Enam chose to leave his PhD program at Stanford to establish the startup. They specifically provide AI guidance software and support that elevates each representative, behavioral mentoring of agents to enhance performance and locate solutions and areas to streamline monotonous tasks.AI Sales Email Coach. It assists you in real-time. Get more positive replies and write better emails faster.https://www.lavender.ai/ https://cresta.com/ https://lyne.ai/cold-email-ai/ https://www.regie.ai/ Web creatorsButternut AIhttps://butternut.ai/ Tagline says it all: Create a website for your business in 20 seconds with AI. Butternut.ai uses generative AI technology that allows users to create websites by simply answering text prompts. The AI technology is designed to function like a personal developer, providing users with an efficient and cost-effective solution for creating and editing websites.Butternut.ai is continuously improving its website builder and is currently working on its v2 version that will offer more design and editing functionalities. Users can even command the AI to perform specific tasks like creating a pricing page with a CTA to sign up.http://Stunning.so https://10web.io Ad and social creativeAlbert.aihttps://albert.ai/ Albert is an autonomous and self-learning digital marketing tool that uses ML + NLP as well as analytics to automate and optimize your paid ad campaigns, specifically Google's search and programmatic channels, as well as Facebook, Instagram, YouTube and Bing. It can automate bidding and budget allocation, keyword and audience targeting, as well as creative testing and optimization. So obviously the part that stands out here is that unlike many other campaign AI tools that just spit out recommendations and then a marketer takes the action, Albert claims to be one of the first tools that's an autonomous AI, it does the action also. Not only that, it's also making adjustments and improvements constantly. You seem to be able to set guardrails of course. They also claim the ability to identify trends, uncover new audience segments, and optimize ad placements. In their docs they say they are more useful in large data sets and B2C environments. AdCreativehttps://adcreative.ai/ AutoGPT and AI agentsI don't think we can go a full episode about AI tools without talking about AutoGPT and AI agents.Essentially you can assign an objective to an AI agent and they work on tasks that lead to accomplish this objective. It's making prompting a bit easier, instead of giving full instructions, the AI identifies the necessary steps to achieve your goal and some of the more advanced ones generate additional AI to assist. You may have seen this on Twitter, I think the first true demo was Yohei Nakajima's impressive demonstration of babyAGI.Things started blowing up with AutoGPT, released by SigGravitas just last week. Described as a self-running AI agent that can write its own code, heal itself from errors, and access the internet via Google search. It does sound really cool for several reasons: Internet access, long-term and short-term memory management, text generation, and integration with 11 Labs for AI text to speech generation. It's arguable that all of this will be possible with GPT plugins but this is doable today and has different applications, let's unpack a few examples:Social media is primed for automation, lots of the work here can already be automated. But imagine setting an AI agent loose with the objective of creating content, scheduling posts (not just posting them) and replying to comments and questions. Replying to questions is a huge part of customer service, you could argue this is another area that's already being automated with chat bots, especially the better ones connected to help docs. But imagine setting an AI agent loose with the objective of really understanding customer questions (not just picking up a keyword and recommending a help article), it could speak any language and you could train it on your brand tone.We're still early but there's already been a ton of innovation here.Here are some of the tools you can play around with today without reading a GitHub repo:Cognosyshttps://www.cognosys.ai/ Cognosys allows you to operate your personal AutoGPT Agent in-browser which is currently available and free to utilize. I've personally played around with it quite a bit and it's pretty wild, it's not perfect yet but it's really cool seeing how it will add new tasks to get to the objective. The beta is still on GPT-3.5. Here's my favorite example:Main objective was to: Build a list of AI tools that have a marketing application, that were released in the last 3 months. Here were the follow-up tasks it added to get to the objective: 1. Retrieve a list of AI tools that were released in the last 3 months. 2. Filter the list to only include tools that have a marketing application. 3. Compile the filtered list into a final list of AI tools with marketing applications released in the last 3 months. The final list of AI tools with marketing applications released in the last 3 months is as follows: 1. Receptiviti: A tool that uses AI to analyze consumer emotions and sentiment in order to optimize marketing strategies. 2. Cortex: A platform that uses AI to help marketers personalize content and improve customer engagement. 3. Adext AI: A tool that uses AI to optimize ad campaigns and improve ad performance. 4. Acoustic: An AI-powered marketing platform that helps businesses automate and optimize their marketing strategies. 5. Pathmatics: A tool that uses AI to provide insights into ad spending and campaign performance for competitive analysis. It then added a few extra tasks because it didn't seem satisfied with the list. Research and compile a list of AI tools that have a marketing application and were released in the last 6 months. The result was 6 tools, but not all 5 from the first task were there. Identify the unique features and functionalities of each AI tool on the list and create a comparison chart to evaluate which tools are most suitable for specific marketing applications. Conduct a survey of marketing professionals to gather feedback and opinions on the identified AI tools and their effectiveness in improving marketing strategies.But then it apologized and said it cannot perform that task… Research and compile a list of case studies showcasing the successful implementation of AI tools in marketing campaigns.It spun up a case study about Coke using "Albert" to optimize their social media advertising campaigns and Amazon using "Rekognition" to analyze customer behavior and personalize their shopping experience. Create a step-by-step guide on how to integrate an AI tool into a marketing strategy, including best practices and potential challenges.The step by step wasn't too bad. 1: Define the problem or opportunity, 2: Identify the right AI tool by researching and comparing different tools, 3: Understand the data requirements like type of data, format, frequency updates, 4: Prepare the data for integration like cleaning and formatting 5: Integrate the AI tool Research and compile a list of AI tools that have a marketing application and were released in the last 2 months.Not sure why it did this for 2 months but this time it gave me tools with release dates which was pretty cool but also obvious that I wasn't getting tools released in the last 2 months, I was only getting tools released in the last 2 months since GPT's latest batch of data which was mid 2021. Create a comparison chart to evaluate the unique features and functionalities of each AI tool on the list and determine which tools are most suitable for specific marketing applications. Also try: https://agentgpt.reworkd.ai/ https://app.hyperwriteai.com/earlyAccess https://godmode.space/ OtherRewind.aihttps://twitter.com/dsiroker/status/1646895452317700097?s=20 https://www.rewind.ai/ You may have seen their public investor pitch on Twitter, the founder is the former creator of Optimizely and his team built a way for you to record and store everything you've said or heard or seen and they make it searchable. Obviously there's huge privacy considerations with something like this. But people don't seem to care haha they went from 0 to 700k in ARR in 3 months. Perplexity AI https://www.perplexity.ai/ Perplexity is a startup that's changing the way we search the web. With their conversational search engine, you can ask questions in plain English and get accurate answers from various sources. And with $26 million in Series A funding, (including investments from Ed Gil) they're looking to revolutionize the search engine game.Their AI technology sets it apart from traditional search engines like Google, and their chatbot-like interface is user-friendly and intuitive, it is built on top of GPT.Perplexity's focus on accuracy is a breath of fresh air in an era where search engines can be manipulated by advertisers and search engine optimization. The Series A funds will be used to optimize their knowledge database and expand their reach. All in all, Perplexity AI is definitely one to watch in the coming years!Character AIhttps://beta.character.ai/ Imagine being able to have a one-on-one conversation with your favorite celebrity or fictional character - well, that's now a possibility with Character.ai, an innovative AI website created by two former Google engineers. The platform has been growing in popularity since its launch last September, offering users the opportunity to chat with a wide range of characters for free. What's more, the interactions are so seamless that some users have reported spending hours chatting with their chosen personality, almost forgetting that they're talking to a machine.However, there's a catch - the interactions are not real, and the AI's responses may not always be accurate or reliable. Despite this, Character.ai has been embraced by fans who are looking for new ways to engage with their favorite personalities, particularly online. This is especially true for fan fiction lovers who are excited about the tool's potential for creating new experiences and making the barrier to entry for writing fan fiction much lower.But as with any new technology, there are concerns about its impact on real-world relationships, especially if users spend more time on it than with the people they care about. Furthermore, the AI technology could be used by stans to go after a perceived enemy of their favorite star, which could be a problem if it leads to harmful interactions or behavior towards other users.Despite these concerns, Character.ai represents a new frontier for fan culture, offering a new way for fans to engage with their favorite personalities and characters. The platform's growth in popularity is a testament to the human need for connection, and while it may not substitute actual interactions, it provides a unique and exciting way for fans to engage with their favorite personalities.Magichttps://magic.dev/ Magic, a startup developing an AI-driven tool to help software engineers write, review, debug, and plan code changes, just raised $23 million in a funding round led by Alphabet's CapitalG. The platform's CEO, Eric Steinberger, was inspired by AI at a young age and is using his experience as an AI researcher to create a tool that will communicate with users in natural language, helping to improve the speed and cost of developing software.Steinberger claims that Magic can understand legacy code and collaborate with users on code changes, operating like a pair programmer that learns more about the context of both coding projects and developers. The AI colleague that Magic offers will be able to understand code and can help developers navigate it, allowing companies to scale the impact of their current employees and train new employees with less personal coaching.What sets it apart is that it allows developers to describe what they want in English, and the AI will understand it and collaborate with them on the changes. This means that developers can work with Magic like a colleague and send messages telling it what changes they want to be made to the code. This one isn't built on GPT, the company has developed its own neural network architecture that can rapidly read code and is capable of detecting, warning about and overcoming potential bugs in the code. Honorable mentionsGalileo AI - Create editable UI designs from text descriptionhttps://usegalileo.ai/ Notocat - Write your newsletters in Notion and send them to your subscribershttps://twitter.com/razvanilin/status/1643565644061999104 Brainf FM - music made by AI that's scientifically proven to increase focushttps://www.brain.fm/ Meeting notes and transcription appshttps://tldv.io/ https://vowel.com/ Image Vectorizer - Turn small images to vectorhttps://vectorizer.io/Speech-to-text generator for podcasts that creates notes, timestamps and summary contenthttps://castmagic.io/ https://podsqueeze.com/ Text-to-speech AI voice generatorhttps://murf.ai/ https://beta.elevenlabs.io/ Text-to-music AI music generator https://mubert.com/ Text-to-SQL query, connect your database, ask a question, get an answerhttps://usechannel.com/ Teachable's AI course curriculum generatorhttps://teachable.com/ai-curriculum-generator https://twitter.com/teachable/status/1641154548419969048?s=20 The opportunities are endless with AI tools and applications go far beyond marketing. I see too many people on Twitter dunking on using it to help you generate text or as a search engine or fact checker… and they're missing the big picture. People are using AI to Help them build custom meal plans Custom exercise plans Help them build sleeping plans Help them build routines and schedules with their newborns Planning road trips Planning date ideas Acting as a therapist Getting movie and book recommendations Planning a party or event Designing personal budgets Assisting with resume and cover letter writing Summarizing long articles and youtube videos Write SQL queries Explain python and CSS code in plain English ConclusionIt's not like our marketing jobs are gonna vanish overnight, but the shift is happening faster than many of us realize. AI's no longer just a loosely backed buzzword; it's doing things today that we used to think were impossible. So, as marketers, we've gotta take this tech seriously.There's 4 main things marketers should be doing to future-proof their careers: Instead of asking if AI's gonna replace our roles in marketing, we should be talking about how quickly it could happen and what it'll look like if it does. Staying informed and learning from some of the best podcasts and newsletters about AI. Ben's Bites, No Priors Podcast, A Guide for Thinking Humans and the AI Exchange are great resources. Now is the time to figure out if you need to make changes to your current area of speciality. Ask yourself if you should double down on additional areas like data and API services, getting closer to product and customers or starting to learn about ethics and data privacy. Stay curious, get your hands dirty and experiment fearlessly: Fill out some forms, spin up free trials, get on wait lists, and give new AI tools a chance. It's only by actually getting your hands dirty that you'll discover which tools truly work for you and which are just part of the ever growing sea of gimmicky AI tools. ✌️--Intro music by Wowa via UnminusCover art created with Midjourney
Un controverso programma di intelligenza artificiale basato su Dall-E di OpenAI genera idenikit di polizia fotorealistici, nella piena incarnazione della Terza Legge di Zuboff che recita “Ogni tecnologia che può essere usata per sorveglianza o controllo SARÀ utilizzata per sorveglianza o controllo”.E subito torna alla mente il programma di Amazon per il riconoscimento facciale, Rekognition, che ha dovuto essere sospeso perché abusato - nonostante i problemi noti - dalle Forze di Polizia americane.E la riflessione sui #DirittiCivili e sulle #Libertà (anche) #Digitali diventa fondamentale, perché quando la AI viene utilizzata per prendere decisioni che hanno impatti sulla vita reale e sulle Libertà, forse la barriera di adozione e di controllo dovrebbe essere molto più elevata che non qualche riga di codice scritta di getto…E voi, cosa ne pensate?La presentazione »https://lablab.ai/event/openai-whisper-gpt3-codex-dalle2-hackathon/eagleai/forensic-sketch-airtist»»»Ti sei già iscritto alla [Membership PRO], per supportare il Canale e avere una serie di contenuti esclusivi?https://www.youtube.com/channel/UCm5H2LH2ISgpX-X5-SP4Vrg/join»»»Io sono MATTEO FLORA, sono un Imprenditore seriale nel Digitale e insegno in università #Reputazione e #Cybersecurity. Mi occupo di #Dati, #Polarizzazioni, Gestione di #Crisi e #Reputazione come Consulente Strategico di Aziende, Enti e Professionisti.Con “Ciao Internet” ti racconto come la Rete ci Cambia, come capirla e usarla al meglio per migliorare la tua vita e professione, non solo digitale.Aziende » http://matteoflora.com/#aziendeTelegram » https://mgpf.it/tgCorso Gratis » https://mgpf.it/nlPer contatti commerciali: sales@matteoflora.comQuesto show fa parte del network Spreaker Prime. Se sei interessato a fare pubblicità in questo podcast, contattaci su https://www.spreaker.com/show/2130193/advertisement
The public cloud gives you amazing machine learning powers with a low barrier to entry. Once you know where to begin, you can quickly build solutions to process images, video, text and audio, as well as structured data. In this episode we talk about the managed AI services that are available on AWS and that require zero machine learning expertise (Rekognition, Polly, Transcribe, Forecast, Personalise, Comprehend, Lex, Textract, Translate). We will also talk about services you can use to create and run your own custom models (SageMaker). We will finally cover some different use cases and some of the things you need to consider before you do machine learning in production. In this episode, we mentioned the following resources: - AI as a Service book https://www.manning.com/books/ai-as-a-service - Julien Simon's YouTube channel: https://www.youtube.com/c/juliensimonfr - Article by MIT researchers “Amazon's Rekognition shows gender and ethnic bias”: https://venturebeat.com/2019/01/24/amazon-rekognition-bias-mit/ - Article “One year moratorium on police use of Rekognition”: https://www.aboutamazon.com/news/policy-news-views/we-are-implementing-a-one-year-moratorium-on-police-use-of-rekognition This episode is also available on YouTube: https://www.youtube.com/AWSBites You can listen to AWS Bites wherever you get your podcasts: - Apple Podcasts: https://podcasts.apple.com/us/podcast/aws-bites/id1585489017 - Spotify: https://open.spotify.com/show/3Lh7PzqBFV6yt5WsTAmO5q - Google: https://podcasts.google.com/feed/aHR0cHM6Ly9hbmNob3IuZm0vcy82YTMzMTJhMC9wb2RjYXN0L3Jzcw== - Breaker: https://www.breaker.audio/aws-bites - RSS: https://anchor.fm/s/6a3312a0/podcast/rss Do you have any AWS questions you would like us to address? Leave a comment here or connect with us on Twitter: - https://twitter.com/eoins - https://twitter.com/loige
Joe Schurman teaches from his deep experience in the software, machine learning, AI, and processes that organizations need today as they transition to data-driven technology companies. He names some of the cloud services and tech tools he uses to lead clients to start with a user case, break it into stories, build a team led by the solution owner, assign the stories to developers to build, and iterate product demos until the Minimum Loved Project (MLP) is achieved. Joe offers observations on investing the “right” amount of time in projects, and wisdom on developing a learner mindset. Key Takeaways [2:06] Joe Schurman is a 2nd-degree black belt in Kung Fu. He once judged a competition in Las Vegas. He has four children; two daughters and two sons. [2:57] Joe is an expert on the fringes of what we can do with computing technology. What we can do changes every day. In the past couple of years, from an AI perspective, with data and automation, it's taken leaps and bounds. [4:30] We're still pretty far away from general AI, despite Sophia, an AI robot that was granted Saudi Arabian citizenship in 2017. Today's AI depends on the programming we give a machine and its interpretation and output. Joe's focus is narrow or weak AI. His business colleagues call it magic. Computer vision is an area he loves. [5:45] Joe uses a lab environment across Google Cloud Platform, Microsoft Azure, and Amazon Web Services. The capabilities that have come up in the last year are “just insane” with what you can do with computer vision and building libraries of what the machine can see. [6:06] Joe loved seeing a computer vision capability demonstration at AWS re:Invent of tracking every NFL player on the field and predicting injuries and other types of output and insights in real-time. The machine used narrow AI to access a library seeded with “a ton” of data to interpret the action. [7:15] What you can do with this technology comes down to the data that you feed the engine. Think about the amounts of data that organizations have to sift through to generate reflective or predictive insights. Auto machine learning helps organize the data into useful information such as anomaly detection in software engineering. The data can also come from tools like GitHub and Jira. [8:25] Joe did a fun computer vision project on UAPs for the History Channel, working with some of the nation's top military leaders, building a library of video and audio data to be able to detect unidentified aerial phenomena that were not supposed to be entering our airspace, and curating that library. [10:06] AI started with the idea of speeding up processes, such as getting an app to market faster or gathering insights quicker to make business decisions more timely. [11:28] AI can enhance human performance. Joe starts by finding people who know how to fail fast; to get a Minimum Viable Product (MVP) out the door. Solutions such as quality engineering automation, test automation, and monitoring services for DevOps detect bugs and performance issues quickly and ensure that the quality of the team is sound.[12:47] Joe notes the importance of individuals performing, contributing to, and collaborating as a team. Set your organization and standards governance up first. Look for a platform of technology to leverage that enables you to build and tinker. Finding the latest and greatest tool is no good unless it provides the right level of collaboration with their platform and connection to different processes. [14:53] When introducing ML to an organization, start with discovery, to understand the culture and talent within the organization. How are they communicating today? Joe sees the biggest gap between data scientists and data engineers. Projects tend to fail without collaboration, regardless of the tech. If the data scientists don't understand the domain, then the platform is irrelevant,[17:28] Joe stresses the need for a methodology in place to make any of these aspirations work for your organization. After discovery, there's an align phase. Focus on the outcome and the use case. The solution owner is crucial. The solution owner leads the technology team and brings them together around the client's outcome to develop that use case.[18:12] If you can't take an actual use case and break it down into bite-sized chunks or user stories, then the project will never be on the right track. Start with the use case to mitigate risks. Break the use case into user stories. Match the user stories with the number of engineers that can develop a number of user stories within a given time frame. [18:38] Those user stories given to the engineers are deducted into Story Points, in the Agile Process of engineering software. Price Waterhouse Coopers (PcW) has taken it to the next level, being able to do Engineering as a Service, being able to do it at scale, and being able to pivot quickly.[18:58] Joe explains what can happen if you have a great idea, take three to six months to break down the use case, and fill all the requirements, but hand it off to the Dev team that has no idea what the use case is: you get irrelevant software that doesn't tie back to the outcome! [19:22] Keep the solution team engaged in building the bridge between the subject matter expert stakeholders and the engineers. Every two weeks, demonstrate the iteration or program increment you have built. Does it match the outcome? Does it provide any relevance? Then take the feedback and figure out what happened in that iteration. Fix errors. You will build a product that has value to launch. [20:45] Communicate a lot, so all the people are on the same page! When you have stovepiped organizations where the departments don't talk to one another, you waste time, effort, and money building a product no one will use. One of Joe's colleagues, José Reyes, uses the term Minimum Lovable Project (MLP), where people rally around the outcome, not just the tech. [22:33] What skills and knowledge will the leaders of PwC need to endure for the next five years? Joe says first are character and attitude; people that have a hunger to build something, with a fail-fast mentality, and that are excited to learn constantly, that read every day and learn new technology. [24:27] Then know the tools. Documents exist on the internet for every solution and there is access to services like GitHub to download projects and starter templates without being an expert but just reading the README file and installing the base-level template, learning as you go, and as you tinker. That's way more valuable than coming in as a book-smart expert in a specific product or technology. [24:57] When it comes to tooling, there are products like the Atlassian platform with Confluence and Jira. For an AI stack, Joe typically works with AWS, GPC, and Microsoft, more so on the Amazon side with AWS AI tools, like Rekognition, Glue DataBrew, Redshift ML, Comprehend, and more. Amazon, Microsoft, and Google produce so much documentation and certification to get you up to speed. [26:30] Judgment, wisdom, and character will not be replaced by AI anytime soon. There's still room for philosophy in leadership. There are tools and technologies to speed up the processes, but not the individuals. There are no general AI solutions out yet to replace a pod of application developers, designers, and solution owners to execute a successful MVP or MLP out the door for a client. [27:55] Advice to CEOs: Be patient and understanding. Be willing to fail fast. Support tinkering and R&D, even if the project doesn't work out. Organizations are generally realizing that today they need to be data-driven, technology companies but there is still hesitance over the risk that needs to be taken. [30:03] Why would an insurance company or other traditional company need R&D? Look at Loonshots, by Safi Bahcall for some ideas about R&D. [30:56] Joe shares how he got to this point in his career. He wanted to play baseball but started at Compaq (now HP) when he was 18, writing scripts in Unix and other environments. Just being able to make certain changes to help clients get products faster and seeing the quick response from the outcomes felt like a home run to him! [31:49] Years later, Joe went on his own, with a vision to create telehealth before telemedicine was a thing, using Skype for Business and Microsoft Lync, enabling an API for that. Seeing people connect through a technology he had built, replaced the need to be a baseball star! Joe is grateful for the break he got at a young age and enjoys his work. [33:22] When Joe first started, he was trying to be the smartest person in the room, seeing the instant gratification of making code snippets that tested successfully. Eventually just building the app wasn't enough for him. He got the dopamine hit from seeing users interacting with his code and seeing its value. [34:58] Joe's mentors include many people he worked with. X. D. Wang at Microsoft Research inspired him to tinker, build, and focus on the short-run more than the long-run. Randeep Sing Pal at Microsoft Unified Communications was another great mentor. Also Steve Justice and Chris Mellon, in terms of character and collaboration. Joe shares how they mentored him. [37:23] Jan says something we forget about technology is that there are a lot of failures and attempts before the success hits. We have to be mindful of that as leaders to give people time and space to do really creative, cool things. [38:01] Joe appreciates the opportunity to discuss these things. Joe spent a lot of his career building software solutions that were way ahead of their time. It's frustrating to see telemedicine so successful now, but not when he attempted it. He had to learn to let go. It's not just about releasing bleeding-edge tech; you've got to find some value associated with it to resonate with the end-user. [39:31] Always think about the outcome and understand your audience first. And then be able to supplement the back end of that with bleeding-edge technology, development, tinkering, failing fast, and all the things that go with software engineering. Also, be humble! Get perspective from outside your bubble to build a better solution and be a better person. [40:49] WHenever you're setting out to build anything, start with a press release! Write a story of what it would look like if it were released today. Then just work back from there! Quotable Quotes “There are so many new and cool technologies and innovations that are coming out at the speed of thought, which are pretty fascinating.” “I've been in real cloud engineering for about a decade, and from an AI perspective, with data and automation, over the past five to 10 years, in terms of running on a cloud environment, and it's just taken leaps and bounds.” “You've got to be able to connect that [data] environment to a use case or an outcome. If you can't do that and you can't enable a data scientist to understand the domain, then the data platform is irrelevant. I see a lot of performance issues occur because of that disconnect.” “If you can't take an actual use case and break it down into bite-sized chunks or user stories, then the project will never be on the right track.” “In this industry, you're constantly learning; constantly reading. I'm reading every day and learning about new technology every day and how to apply it and how to tinker with it. I need people on the team … that have that ability or that hunger to tinker and learn.” “Transitioning from a ‘knower' mindset to a ‘learner' mindset was the biggest shift for me.” “Always think about the outcome and understand your audience first. And then be able to supplement the back end of that with bleeding-edge technology, development, tinkering, failing fast, and all the things that go with software engineering.” Resources Mentioned Joe Schurman, PwC Joe Schurman on LinkedIn PwC Sophia robot granted citizenship I, Robot film Weak AI Google Cloud Platform Microsoft Azure Amazon Web Services AWS re:Invent GitHub Atlassian Jira Unidentified, The History Channel José Reyes, PwC The Shackleton Journey Atlassian Confluence AWS Rekognition AWS Glue DataBrew AWS Redshift ML AWS Comprehend Steve Justice on LinkedIn Chris Mellon Loonshots: How to Nurture the Crazy Ideas That Win Wars, Cure Diseases, and Transform Industries, by Safi Bahcall
Ai as a webservice --- Send in a voice message: https://anchor.fm/david-nishimoto/message
Arnaud, Antonio et Emmanuel discutent des actu du développeur en cette période pré estivale. Du Spring Boot, du Hibernate, du Vert.x, du web qui tombe, du Gradle 7, des mineurs et des méthodologies autour des pull requests. Enregistré le 11 juin 2021 Téléchargement de l'épisode [LesCastCodeurs-Episode-258.mp3](https://traffic.libsyn.com/lescastcodeurs/LesCastCodeurs-Episode-258.mp3) ## News ### Langages [GraalVM 21 sur InfoQ'France](https://www.infoq.com/fr/news/2021/02/graalvm-21-jvm-java/?itm_source=infoq_en&itm_medium=link_on_en_item&itm_campaign=item_in_other_langs) * Un interpréter Java en Java * Plus simple a debugger * Avant ils utilisaient hotspot * Reste projet * Java en tant que container de javas * Mélanger ahead of time et classique Java ### Librairies [Spring Boot 2.5.0 est sorti](https://spring.io/blog/2021/05/20/spring-boot-2-5-is-now-ga) * Support for Java 16 * Support for Gradle 7 * Enhanced Docker image building * New mechanism for Datasource initialisation pour préparer R2DBC * Les dépendances mises à jour (Spring data, hateoas' spring Kafka et) * En gros rien de révolutionnaire, beaucoup de mise à jour et du nettoyage [Hibernate a 20 ans !](https://twitter.com/hibernate/status/1396425771040792577?s=21) * Première sortie * Ça ne nous rajeuni pas [Vert.x 4.1 est sorti](https://vertx.io/blog/eclipse-vert-x-4-1-0/) * Reactive Microsoft SQLServer driver * Vert.x HTTP proxy plutôt que de l'écrire soit même * RxJava 3 * OpenTelemetry tracing * Plus conforme à OAuth2 et OIDC * Kotlin 1.5 * Flexibilité dans la configuration de pools (plusieurs event loops par pool, waiter cancellation, lock free impl, etc * Web session stocké dans Infinispan * Et plus au niveau sécurité, openapi, service proxy ### Infrastructure [Un problème chez Fastly et l'internet tousse](https://www.fastly.com/blog/summary-of-june-8-outage) * Fastly est un CDN * hoste beaucoup d'artefact de type NPM, Maven, JS resources etc * consequence est sites defacé par manque de CSS ou JS, voir HTTP pages non accessibles * bug declenché par une config client => fait tomber 85% du réseau ### Cloud [Les services d'intelligence artificielle d'AWS ne respectaient pas le non déplacement des données hors de la région par défaut ](https://techmonitor.ai/techonology/cloud/aws-user-data) * Et le défaut était très bien caché. Les experts AWS n'avaient pas fait gaffe * C'était légal mais en tout petit dans les conventions * Différence entre télémétrie et les données en propre en général. Pas pour les iA ;) * Les services impacté AWS Terms 50.3 mention CodeGuru Profiler, Lex, Polly, Rekognition, Textract, Transcribe, and Translate. 60.4 also mentions this for SageMaker. 75.3 mentions this for Fraud Detector. 76.2 mentions this for Mechanical Turk and Augment AI. ### Web [Vers un système unique et une API commune pour les extensions dans les navigateurs](https://appleinsider.com/articles/21/06/04/apple-mozilla-google-microsoft-form-group-to-standardize-browser-plug-ins) * Des gens de Apple (Safari), Google (Chrome), Microsoft (Edge) et Mozilla (Firefox) vont collaborer ensemble, au sein du WECG * [Web extensions community group](https://www.w3.org/community/webextensions/) * Base sur le travail de safari de supporter les extensions des autres navigateurs * On a vu des défis et réduction de possibilités pour contrôler la sécurité et le tracking * De toutes façons tout le monde est sur Chromium ahaha ### Outillage [Gradle 7 est sorti et Cédric nous fait un crowdcast ](https://gradle.org/whats-new/gradle-7) * D'ailleurs, Cédric quitte Gradle Inc après des années de bons et loyaux services [Prosus achète StasckOverflow pour 1,8 milliards](https://stackoverflow.blog/2021/06/02/prosus-acquires-stack-overflow/) * Prosus avait déjà des parts dans des entreprises type Codeacademy, et Udemy, dans l'EDU/tech * StackOverflow commence en 2008 * [Migration vers SaaS d StackOverflow](https://siliconangle.com/2020/05/18/stack-overflow-ramps-up-saas-model-as-it-builds-relationships-with-microsoft-and-developers-cubeconversations/) intéresse Prosus * Jobs 50% du revenu * Team collaboration tool bonne croissance * C'est stackoverflow pour les équipes internes [docker hub autobuild, les crypto mineurs m'ont tué](https://www.docker.com/blog/changes-to-docker-hub-autobuilds/). > En avril, nous avons vu le nombre d'heures de construction augmenter de 2 fois notre charge habituelle et à la fin du mois, nous avions déjà désactivé ~ 10 000 comptes en raison d'abus de minage. La semaine suivante, nous avons eu environ 2 200 mineurs supplémentaires. * Il faut contacter Docker pour les projets OSS de bonne volonté qui ont besoin de ce service ### Méthodologies [Le temps moyen de PR entre Stripe et Mozilla](https://twitter.com/jlongster/status/1400511441556459523?s=21) * Des jours à attendre le feedback vs 10 minutes * C'est un débat assez fondamental je trouve. Comment organiser les équipes pour que les PR soient vues comme la chose importante. Plus que « le code ». * Différence Service vs product ### Loi, société et organisation [Un article de rappel sur la copie privée](https://www.nextinpact.com/article/30201/108870-la-redevance-copie-privee-vache-a-lait-industries-culturelles) * Copie privée basse sur les cassettes et VHS. Ensuite le stockage numérique explose * 270 millions d'euros en France en 2017 * Une commission administrative fixe les règles. Composée. de 6 usagers, 6 vendeurs de stockage, 12 ayant droits et un président au droit de vote et pro ayant droit. Rapport de force clair * Ils essaye de construire la vache à lait: prix basé sur la copie licite ou pas (cassé en 2008) ensuite argument de compression pour garder le barème haut * En théorie que pour les particuliers et procédure de remboursement pour les pros. Mais difficile à appliquer donc quasi jamais fait. * 25% des gains financent des festivals et manifestations culturelles : instrument d'influence des élus locaux et pas si locaux * Efforts pour taper sur tous les disques durs nus, faire entrer dans le champ le stream ripping * Et maintenant [la copie privée sur la vente d'occasion](https://actualitte.com/article/100640/politique-publique/copie-privee-les-appareils-reconditionnes-pomme-de-discorde). La grande classe. * Risque pour l'économie solidaire qui sont sur des populations fragiles * Le sénat veut favoriser l'écologie de la seconde main et serait pour l'exclusion de la taxe dans ce cas là. * Les smartphones c'est 70% de leurs revenus ## Outils de l'épisode [Google ZX pour écrire des scripts en JavaScript](https://t.co/kDnarh0A13) ## Conférences [RivieraDev](https://rivieradev.fr) ## Nous contacter Soutenez Les Cast Codeurs sur Patreon [Faire un crowdcast ou une crowdquestion](https://lescastcodeurs.com/crowdcasting/) Contactez-nous via twitter sur le groupe Google ou sur le site web
Arnaud, Antonio et Emmanuel discutent des actu du développeur en cette période pré estivale. Du Spring Boot, du Hibernate, du Vert.x, du web qui tombe, du Gradle 7, des mineurs et des méthodologies autour des pull requests. Enregistré le 11 juin 2021 Téléchargement de l'épisode LesCastCodeurs-Episode–258.mp3 News Langages GraalVM 21 sur InfoQ'France Un interpréter Java en Java Plus simple a debugger Avant ils utilisaient hotspot Reste projet Java en tant que container de javas Mélanger ahead of time et classique Java Librairies Spring Boot 2.5.0 est sorti Support for Java 16 Support for Gradle 7 Enhanced Docker image building New mechanism for Datasource initialisation pour préparer R2DBC Les dépendances mises à jour (Spring data, hateoas' spring Kafka et) En gros rien de révolutionnaire, beaucoup de mise à jour et du nettoyage Hibernate a 20 ans ! Première sortie Ça ne nous rajeuni pas Vert.x 4.1 est sorti Reactive Microsoft SQLServer driver Vert.x HTTP proxy plutôt que de l'écrire soit même RxJava 3 OpenTelemetry tracing Plus conforme à OAuth2 et OIDC Kotlin 1.5 Flexibilité dans la configuration de pools (plusieurs event loops par pool, waiter cancellation, lock free impl, etc Web session stocké dans Infinispan Et plus au niveau sécurité, openapi, service proxy Infrastructure Un problème chez Fastly et l'internet tousse Fastly est un CDN hoste beaucoup d'artefact de type NPM, Maven, JS resources etc consequence est sites defacé par manque de CSS ou JS, voir HTTP pages non accessibles bug declenché par une config client => fait tomber 85% du réseau Cloud Les services d'intelligence artificielle d'AWS ne respectaient pas le non déplacement des données hors de la région par défaut Et le défaut était très bien caché. Les experts AWS n'avaient pas fait gaffe C'était légal mais en tout petit dans les conventions Différence entre télémétrie et les données en propre en général. Pas pour les iA ;) Les services impacté AWS Terms 50.3 mention CodeGuru Profiler, Lex, Polly, Rekognition, Textract, Transcribe, and Translate. 60.4 also mentions this for SageMaker. 75.3 mentions this for Fraud Detector. 76.2 mentions this for Mechanical Turk and Augment AI. Web Vers un système unique et une API commune pour les extensions dans les navigateurs Des gens de Apple (Safari), Google (Chrome), Microsoft (Edge) et Mozilla (Firefox) vont collaborer ensemble, au sein du WECG Web extensions community group Base sur le travail de safari de supporter les extensions des autres navigateurs On a vu des défis et réduction de possibilités pour contrôler la sécurité et le tracking De toutes façons tout le monde est sur Chromium ahaha Outillage Gradle 7 est sorti et Cédric nous fait un crowdcast D'ailleurs, Cédric quitte Gradle Inc après des années de bons et loyaux services Prosus achète StasckOverflow pour 1,8 milliards Prosus avait déjà des parts dans des entreprises type Codeacademy, et Udemy, dans l'EDU/tech StackOverflow commence en 2008 Migration vers SaaS d StackOverflow intéresse Prosus Jobs 50% du revenu Team collaboration tool bonne croissance C'est stackoverflow pour les équipes internes docker hub autobuild, les crypto mineurs m'ont tué. En avril, nous avons vu le nombre d'heures de construction augmenter de 2 fois notre charge habituelle et à la fin du mois, nous avions déjà désactivé ~ 10 000 comptes en raison d'abus de minage. La semaine suivante, nous avons eu environ 2 200 mineurs supplémentaires. Il faut contacter Docker pour les projets OSS de bonne volonté qui ont besoin de ce service Méthodologies Le temps moyen de PR entre Stripe et Mozilla Des jours à attendre le feedback vs 10 minutes C'est un débat assez fondamental je trouve. Comment organiser les équipes pour que les PR soient vues comme la chose importante. Plus que « le code ». Différence Service vs product Loi, société et organisation Un article de rappel sur la copie privée Copie privée basse sur les cassettes et VHS. Ensuite le stockage numérique explose 270 millions d'euros en France en 2017 Une commission administrative fixe les règles. Composée. de 6 usagers, 6 vendeurs de stockage, 12 ayant droits et un président au droit de vote et pro ayant droit. Rapport de force clair Ils essaye de construire la vache à lait: prix basé sur la copie licite ou pas (cassé en 2008) ensuite argument de compression pour garder le barème haut En théorie que pour les particuliers et procédure de remboursement pour les pros. Mais difficile à appliquer donc quasi jamais fait. 25% des gains financent des festivals et manifestations culturelles : instrument d'influence des élus locaux et pas si locaux Efforts pour taper sur tous les disques durs nus, faire entrer dans le champ le stream ripping Et maintenant la copie privée sur la vente d'occasion. La grande classe. Risque pour l'économie solidaire qui sont sur des populations fragiles Le sénat veut favoriser l'écologie de la seconde main et serait pour l'exclusion de la taxe dans ce cas là. Les smartphones c'est 70% de leurs revenus Outils de l'épisode Google ZX pour écrire des scripts en JavaScript Conférences RivieraDev Nous contacter Soutenez Les Cast Codeurs sur Patreon https://www.patreon.com/LesCastCodeurs Faire un crowdcast ou une crowdquestion Contactez-nous via twitter https://twitter.com/lescastcodeurs sur le groupe Google https://groups.google.com/group/lescastcodeurs ou sur le site web https://lescastcodeurs.com/
Parliamo con Marco Viganò, CTO di Condè Nast Italia, della migrazione da on-premises ad AWS, della modernizzazione delle applicazioni tramite machine learning e di scenari futuribili dell'editoria.
VegasVagina CandlesAmazonBook Banning
Amazon verlengt het moratorium op het gebruik van Rekognition, hun gezichtsherkenningssoftware, door de Amerikaanse politie. Amazon hoopt dat het Congres met regels over het gebruik van dit soort software komt, maar dat is nog niet gebeurd.
In this episode, I go through our latest announcements on Amazon Polly, Amazon Rekognition, Amazon Lex, Amazon Personalize, and Amazon SageMaker Ground Truth. I demo how to use a Lex chatbot for search queries on Kendra.⭐️⭐️⭐️ Don't forget to subscribe to be notified of future episodes ⭐️⭐️⭐️Rekognition blog post: https://aws.amazon.com/blogs/media/streamline-media-analysis-tasks-with-amazon-rekognition-video/Kendra blog post: https://aws.amazon.com/blogs/aws/reinventing-enterprise-search-amazon-kendra-is-now-generally-available/SageMaker Ground Truth blog post: https://aws.amazon.com/blogs/aws/new-label-3d-point-clouds-with-amazon-sagemaker-ground-truth/For more content:* AWS blog: https://aws.amazon.com/blogs/aws/auth...* Medium blog: https://medium.com/@julsimon * YouTube: https://youtube.com/juliensimonfr * Podcast: http://julsimon.buzzsprout.com * Twitter https://twitter.com/@julsimon
In COVID-related AI news, Andy and Dave discuss an announcement from WVU Rockefeller Neuroscience Institute, WVU Medicine, and Oura Health, with the ability to predict COVID-19 related symptoms up to three days in advance via biometric monitoring. Japan’s M3 is teaming with Alibaba’s AI Tech to provide CT-scan capability to hospitals that can identify COVID-related pneumonia. The Pentagon taps into the virus-relief CARES Act to use AI for virus cure and vaccine efforts. Rockefeller announces efforts to use GPT-2 to automatically summarize COVID-19 medical research articles, but the results aren’t that great. In regular AI news, IBM announces it is no longer offering general purpose facial recognition or analysis software, due to concerns about the technology being used to promote racism. And in a related announcement, Amazon places a one-year moratorium on allowing law enforcement to use its Rekognition facial recognition platform. USSOCOM has posted an RFI for potential contractors to provide its Global Analytics Platform, a $300-600M contract that would follow its previous eMAPS contract. And NASA launches its Entrepreneurs Challenge, seeking new ideas for space exploration. In research, from University of Pennsylvania, UC Berkeley, Google Brain, University of Toronto, Carnegie Mellon University, and Facebook AI, comes a different approach to defining intrinsic motivation for taskless problems, wherein agents seek out future inputs that are expected to be novel. The report of the week comes from the Stanley Center for Peace and Security, with a look at The Militarization of AI. Researchers at Beijing Academy and Cambridge University come together to pen a white paper call for “cross-cultural cooperation” on AI ethics and governance. Efron, Hastie, and Cambridge University Press provide Computer Age Statistical Inference for free. And DeepMind and the UCL Centre for AI are producing a Deep Learning Lecture Series. Click here to visit our website and explore the links mentioned in the episode.
On pourrait penser que le port du masque hygiénique a mis un frein au développement des technologies de reconnaissance faciale. Mais, ce serait sous-estimer la créativité et l’appétit des géants technologiques derrière ces outils plus puissants que jamais. Avec Baptiste Zapirain et Charles Trahan
Bio Harold Hughes (@OneBandwagonFan) is the founder & CEO of Bandwagon – an identity infrastructure company that helps companies and organizations transparently manage, aggregate, and store valuable consumer data. A rising star in sports tech, Harold has had his ideas validated as a graduate (and now mentor) of the Founder Institute Greenville chapter; graduate of Capital Factory – Austin, one of the inaugural companies in Google for Startups Black Founders Exchange Program, and most recently the IBM Blockchain Accelerator. In his hometown community, he serves as the founder and Managing Director of Brickyard Innovation Lab: an entrepreneur ecosystem for early-stage startups and emerging growth companies. He is also a Co-Director of the Founder Institute Greenville chapter, a startup incubator, and a member of the Greenville Chamber of Commerce. A man of Alpha Phi Alpha Fraternity, Inc., Harold is actively involved in the community participating on the Board of Directors for Rebuild Upstate and Visit Greenville. As a strong believer in mentorship, he makes time to speak with youth and his peers about his journey to entrepreneurship and how he has found success along the way. Harold Hughes is a graduate of Clemson University where he received Bachelors degrees in both Economics (B.A) and Political Science (B.A.). As a “Triple Tiger”, he also completed his MBA at Clemson, before pursuing a graduate certificate in Innovation & Entrepreneurship at Stanford University. Resources Aura Bandwagon Fan Club News Roundup Tech giants curtail, end sale of facial recognition to police IBM and Microsoft announced plans last week to end the sale of surveillance technology to police departments, with IBM stopping all research, development and production of such systems indefinitely, and Microsoft saying it plans to stop the practice until Congress passes legislation. Amazon currently only has plans to pause the sale of its Rekognition software to police for one year, but it too has called for new legislation. The decisions came after years of advocacy reached a boiling point amidst reports that police have been using facial recognition during worldwide protests, in support of Black Lives, after the killing of George Floyd by Minneapolis police just over two weeks ago. However, IBM, Microsoft and Amazon are just 3 of the companies selling facial recognition technology to police. Also last week, the American Civil Liberties Union and several other organizations sued Clearview AI, a supplier of facial recognition technology to police departments, for scanning Illinois’ residents’ faces, without their consent, in violation of an Illinois law preventing nonconsensual fingerprinting and face scans, The New York Times reported. The Hill reports Massachusetts Senator Ed Markey also called on Clearview to conduct an independent assessment of whether police have been using their technology during the protests, to which Clearview responded that it only helps police after crimes have already been committed. And Vice surveyed 43 facial recognition companies whether they too will refuse to work with police. According to Vice, most didn’t respond to the inquiry—you can find a link to the list of those companies in the show notes. You’ll also want to read Geoffrey Fowler’s Washington Post piece discussing efforts by other companies, including lesser-known companies like NEC and Idemia to thwart lawmakers’ efforts to rein in law enforcement’s use of facial recognition to spy on U.S. citizens. Zuckerberg still being difficult about curbing misinformation Despite leading lawmakers’ and activists’ calls on Facebook to improve how it flags misinformation, Facebook CEO Mark Zuckerberg is still being difficult. But at the same time he claims he’s “disgusted” by President Trump’s content, The Hill reported last week. The debate with Facebook has continued for years, with the company condescending to and patronizing a handful of civil rights groups making repeated calls for the company to better moderate hate speech. The term “hate speech”, of course, being one Fox News like to wrap in quotes as if it’s not a real thing, never mind that centuries of newspapers’, broadcast stations’, the FCC’s, and social media companies’ enabling of bigots and misogynists suggest otherwise. Sure. Facebook will take down hundreds of accounts managed by anti-racist Skinheads. But when Trump threatens bodily injury posting “when the looting starts, the shooting starts”, lumping peaceful Black Lives Matter protesters into a single category of “looters” … That’s no problem. On Wednesday, the House Homeland Security Committee wrote Zuckerberg, again, urging him to curb Trump’s “dangerous” posts. Zuckerberg’s response? Writing a letter in reply to 270 concerned scientists he and his wife Priscilla Chan fund through their Chan Zuckerberg Initiative, admitting Trump’s posts constituted misinformation, that they were incendiary, that they were “deeply shaken and disgusted” by them. But, alas, “Having more voices at the table that represent a diversity of perspectives, viewpoints, and lived experiences isn’t just a good way to help solve the world’s biggest problems and challenges – it is the only way.” “The only way”. Those words are important because they negate diverse perspectives, viewpoints, and lived experiences. They urge authoritarianism. Uber waives fees for black-owned restaurants The Hill reported that Uber Eats, after creating a list of black-owned businesses, has waived fees for customers ordering from black-owned restaurants. Uber’s ride-sharing unit also announced discounts for passengers going to black-owned establishments. The company said the deals will continue through until the end of the year. Jeff Bezos ‘happy to lose’ racist customers Amazon CEO Jeff Bezos took to Instagram last week to drag a racist customer named Dave who complained about Amazon’s homepage statement in support of Black Lives Matter. The customer sent an email deriding the world’s wealthiest person saying he’d laugh watching the company’s profits decline as a result of the statement. Bezos posted the email, redacting the customer’s name, saying he’s happy to lose such customers. Amazon was up 24 points on Monday June 8th’s market close, the first market close after Bezos’s post, to 2,524.06 per share. Police investigate disruptions of police radios during protests Someone took advantage of police officers’ unencrypted frequencies during protests. In one intrusion, hackers played Tay Zonday’s YouTube viral hit “Chocolate Rain” over police radios. Authorities are investigating incidents in Minnesota, Illinois and Texas. Some departments have switched over to encrypted frequencies. Twitter makes Juneteenth a holiday Twitter CEO Jack Dorsey announced last week that the company will now recognize Juneteenth as a company holiday every June 19th. Juneteenth commemorates June 19, 1865, the date African Americans in Galveston, Texas first learned of their emancipation from Union General Gordon Granger, who delivered the news nine weeks following Confederate General Robert E. Lee’s surrender at Appomattox Court Courthouse, and some two-and-a-half years after President Lincoln issued the Emancipation Proclamation. YouTube announces $100 million for black creators YouTube announced last week that it would be investing $100 million to amplify the voices of black creators. YouTube CEO Susan Wojcicki made the announcement Thursday, in a post in which she also reported the company removed some 100,000 hateful videos and 100 million such comments in the second quarter.
Here's what we're talking about this week on the GeekWire Podcast: As protests over police violence continue across the country, Amazon, IBM and Microsoft all announce they won’t sell their controversial facial recognition software to law enforcement. But Amazon says it will only stop for a year. That earned the company some good will, but racial justice and civil rights groups called it a trivial concession. Is Amazon’s facial recognition moratorium a victory for police reformers or just good PR? Microsoft promises not to sell facial recognition tech to police before Congress passes regulations Amazon bans police use of its Rekognition facial recognition software for one year amid protests Non-compete agreements are back in the news as Amazon sues one of its former executives for taking a job at Google Cloud. We take a look at what's behind this always-controversial contract provision and whether its days may be numbered. Amazon is worried that Brian Hall, a former Amazon Web Services marketing vice president, might spill secrets to his new employer, Google Cloud. The company is in court trying to prevent Hall from working on speeches and slides for the upcoming Google Cloud Next event. And the return of the Random Channel! GeekWire Producer Curt Milton gets his first haircut in months as COVID-19 restrictions begin to life in Seattle, but finds things are far from back to normal. Monica Nickelsburg weighs in on a new startup that lets you rent a piece of an indoor, vertical farm. It's a cool idea but a pricey way to get your salad. And GeekWire Editor Todd Bishop talks about the life affirming nature of researching and writing obituaries, including a recent one on a towering figure in Seattle tech, Manny Vellon. Listen above, and subscribe in any podcast app. With GeekWire’s Todd Bishop and Monica Nickelsburg. Produced by Curt Milton. Theme music by Daniel L.K. Caldwell.
IBM droppede i starten af ugen ansigtsgenkendelse — og satte gang i en mindre jordskred i branchen. Amazon satte kort tid efter politiets brug af Rekognition på pause, og nu vil Microsoft heller ikke hjælpe politiet længere. Vi kigger på hvorfor, og på de problemer der gør ansigtsgenkendelse så kontroversiel. Apple er angiveligt på vej til at smide Intels processorer ud af sine computere, til fordel for egne hjemmebyggede ARM-chips. Men hvorfor? Og er det noget du skal glæde dig til? I ugens Plus/Minus giver vi karakter til Mark Zuckerberg for hans ageren i miseren med Trumps ‘looting and shooting' opslag. Menukortet for ugens korte nyheder ser således ud: Techaktier siger bye, bye Corona Sony siger hello, hello ny PlayStation Googles Android 11 siger se mig, se mig Ny podcast-service siger betal, betal for mig Kinesere siger kør, kør med vores nye 2 millioner kilometers elbils-batteri I Ugens tip skal vi snakke om stemmestyring, som gør hverdagen en hel del lettere. Som lovet er her et par links til, hvordan du nemt kommer i gang med at bruge Siri eller Google Assistent. Siri: Apples oversigt (https://www.apple.com/siri/) over udvalgte Siri-kommandoer Dansk oversigt over styring af hjemmet (https://support.apple.com/da-dk/HT208280) En alternativt liste over en lang række Siri-kommandoer (https://3dinsider.com/siri-voice-commands/) (på engelsk) Google Assistent: Googles oversigt (https://support.google.com/assistant/answer/7172842) over kommandoer til Google Assistent 100 kommandoer (https://www.tomsguide.com/round-up/best-google-assistant-commands) til Google Assistent (på engelsk)
Patrocinador: Si quieres completar tu carrera profesional en tecnología y negocios, deberías considerar apuntarte al Postgrado de Innovación Tecnológica en Finanzas. El nuevo curso comienza en enero. Solicita más información sin compromiso. Becas de hasta el 50%. Facebook compra un exploit para el FBI / Amazon retira reconocimiento facial a la policía / Spectre ataca de nuevo a ARM y Linux / China ataca en Zoom y PocketCasts / Android 11 / La tableta barata de Pine64
No resumo desta semana do Entre Tech: os destaques da primeira edição do IT Forum@Home - o império da conveniência, agora mais acelerado do que nunca; Ataque cibernético atinge Honda; QuintoAndar amplia home office; os benefícios do trabalho remoto na visão dos funcionários; IBM decide recuar do mercado de reconhecimento facial; Amazon suspende Rekognition; Nubank eleito melhor banco do Brasil
In this episode, Amazon bans police from using its facial recognition software. One UCLA professor suspended for not moving the finals for blacks. Mayor of Chicago and an Alderman go at each other over looting and rioting response.
Smartphone convergence, Android 11 Beta.Apple announced that they would be sunsetting iBooks Author and iTunes U, but the writing was on the wall.Amazon banned police use of its Rekognition facial recognition technology for one year while it waits for Congress to implement stronger regulations.Daniel Bader from Android Central details the new features of Android 11 Beta 1, and what consumers can get excited about when its officially released later this year.On CNET's 25 year anniversary, Brian Cooley talks about how the smartphone revolution could easily have never happened if convergence wasn't embraced early on. Hosts: Jason Howell and Mikah Sargent Guests: Daniel Bader and Brian Cooley Download or subscribe to this show at https://twit.tv/shows/tech-news-weekly. Sponsors: LastPass.com/twit expressvpn.com/tnw
Alla luce dei fatti americani IBM ha deciso, per motivi etici, di uscire definitivamente dal mercato del Riconoscimento Facciale e il principale player, Amazon con Rekognition, ha optato per una moratoria di un anno sulla vendita della tecnologia di riconoscimento alla Polizia.In tutto questo, a Gennaio l'Unione Europea ha iniziato ad avanzare l'ipotesi di una moratoria quinquennale su questa tecnologia, citando problematiche di rischio che ancora non sono state adeguatamente prese in esame.Dietro a questo il problema della Neutralità della Rete (e della Tecnologia) e le problematiche di Sovranità Tecnologica, che oggi mi piacerebbe approfondire con te.Link qui: http://mgpf.it/link--Io sono http://matteoflora.com e ogni giorno con ''Ciao Internet'' ti racconto Dati e Storie dalla Rete.Mi trovi su Youtube qui https://mgpf.it/ytsu Facebook qui https://mgpf.it/fbsu Podcast qui https://mgpf.it/pce su Instagram e Twitter come @lastknight--Per contatti commerciali: mf@thefool.it
The Wall Street Journal reports that the EU is preparing to file formal antitrust charges against Amazon for using third-party seller data to create competing products, Amazon places a one-year moratorium on police departments using its Rekognition service, and security researchers detail the CallStranger attack that uses a Universal Plug and Play network protocol exploit. Support this show http://supporter.acast.com/dth. See acast.com/privacy for privacy and opt-out information.
Technology giant Amazon has banned the police from using its controversial facial recognition software for a year. It comes after civil rights advocates raised concerns about potential racial bias in surveillance technology. IBM also said it would stop offering its facial recognition software for mass surveillance or racial profiling. The decisions follow growing pressure on firms to respond to the death in police custody of George Floyd. Amazon said the suspension of law enforcement use of its Rekognition software was to give US lawmakers the opportunity to enact legislation to regulate how the technology is employed. Amazon in a statement said they have advocated that governments should put in place stronger regulations to govern the ethical use of facial recognition technology, and in recent days, Congress appears ready to take on this challenge. Learn more about your ad choices. Visit megaphone.fm/adchoices
Smartphone convergence, Android 11 Beta.Apple announced that they would be sunsetting iBooks Author and iTunes U, but the writing was on the wall.Amazon banned police use of its Rekognition facial recognition technology for one year while it waits for Congress to implement stronger regulations.Daniel Bader from Android Central details the new features of Android 11 Beta 1, and what consumers can get excited about when its officially released later this year.On CNET's 25 year anniversary, Brian Cooley talks about how the smartphone revolution could easily have never happened if convergence wasn't embraced early on. Hosts: Jason Howell and Mikah Sargent Guests: Daniel Bader and Brian Cooley Download or subscribe to this show at https://twit.tv/shows/tech-news-weekly. Sponsors: LastPass.com/twit expressvpn.com/tnw
Smartphone convergence, Android 11 Beta.Apple announced that they would be sunsetting iBooks Author and iTunes U, but the writing was on the wall.Amazon banned police use of its Rekognition facial recognition technology for one year while it waits for Congress to implement stronger regulations.Daniel Bader from Android Central details the new features of Android 11 Beta 1, and what consumers can get excited about when its officially released later this year.On CNET's 25 year anniversary, Brian Cooley talks about how the smartphone revolution could easily have never happened if convergence wasn't embraced early on. Hosts: Jason Howell and Mikah Sargent Guests: Daniel Bader and Brian Cooley Download or subscribe to this show at https://twit.tv/shows/tech-news-weekly. Sponsors: LastPass.com/twit expressvpn.com/tnw
Smartphone convergence, Android 11 Beta.Apple announced that they would be sunsetting iBooks Author and iTunes U, but the writing was on the wall.Amazon banned police use of its Rekognition facial recognition technology for one year while it waits for Congress to implement stronger regulations.Daniel Bader from Android Central details the new features of Android 11 Beta 1, and what consumers can get excited about when its officially released later this year.On CNET's 25 year anniversary, Brian Cooley talks about how the smartphone revolution could easily have never happened if convergence wasn't embraced early on. Hosts: Jason Howell and Mikah Sargent Guests: Daniel Bader and Brian Cooley Download or subscribe to this show at https://twit.tv/shows/tech-news-weekly. Sponsors: LastPass.com/twit expressvpn.com/tnw
Alla luce dei fatti americani IBM ha deciso, per motivi etici, di uscire definitivamente dal mercato del Riconoscimento Facciale e il principale player, Amazon con Rekognition, ha optato per una moratoria di un anno sulla vendita della tecnologia di riconoscimento alla Polizia.In tutto questo, a Gennaio l'Unione Europea ha iniziato ad avanzare l'ipotesi di una moratoria quinquennale su questa tecnologia, citando problematiche di rischio che ancora non sono state adeguatamente prese in esame.Dietro a questo il problema della Neutralità della Rete (e della Tecnologia) e le problematiche di Sovranità Tecnologica, che oggi mi piacerebbe approfondire con te.Link qui: http://mgpf.it/link--Io sono http://matteoflora.com e ogni giorno con ''Ciao Internet'' ti racconto Dati e Storie dalla Rete.Mi trovi su Youtube qui https://mgpf.it/ytsu Facebook qui https://mgpf.it/fbsu Podcast qui https://mgpf.it/pce su Instagram e Twitter come @lastknight--Per contatti commerciali: mf@thefool.it
Smartphone convergence, Android 11 Beta.Apple announced that they would be sunsetting iBooks Author and iTunes U, but the writing was on the wall.Amazon banned police use of its Rekognition facial recognition technology for one year while it waits for Congress to implement stronger regulations.Daniel Bader from Android Central details the new features of Android 11 Beta 1, and what consumers can get excited about when its officially released later this year.On CNET's 25 year anniversary, Brian Cooley talks about how the smartphone revolution could easily have never happened if convergence wasn't embraced early on. Hosts: Jason Howell and Mikah Sargent Guests: Daniel Bader and Brian Cooley Download or subscribe to this show at https://twit.tv/shows/tech-news-weekly. Sponsors: LastPass.com/twit expressvpn.com/tnw
Smartphone convergence, Android 11 Beta.Apple announced that they would be sunsetting iBooks Author and iTunes U, but the writing was on the wall.Amazon banned police use of its Rekognition facial recognition technology for one year while it waits for Congress to implement stronger regulations.Daniel Bader from Android Central details the new features of Android 11 Beta 1, and what consumers can get excited about when its officially released later this year.On CNET's 25 year anniversary, Brian Cooley talks about how the smartphone revolution could easily have never happened if convergence wasn't embraced early on. Hosts: Jason Howell and Mikah Sargent Guests: Daniel Bader and Brian Cooley Download or subscribe to this show at https://twit.tv/shows/tech-news-weekly. Sponsors: LastPass.com/twit expressvpn.com/tnw
Smartphone convergence, Android 11 Beta.Apple announced that they would be sunsetting iBooks Author and iTunes U, but the writing was on the wall.Amazon banned police use of its Rekognition facial recognition technology for one year while it waits for Congress to implement stronger regulations.Daniel Bader from Android Central details the new features of Android 11 Beta 1, and what consumers can get excited about when its officially released later this year.On CNET's 25 year anniversary, Brian Cooley talks about how the smartphone revolution could easily have never happened if convergence wasn't embraced early on. Hosts: Jason Howell and Mikah Sargent Guests: Daniel Bader and Brian Cooley Download or subscribe to this show at https://twit.tv/shows/tech-news-weekly. Sponsors: LastPass.com/twit expressvpn.com/tnw
Rappi faz doação ao Governo de SP, Brasileiros usaram mais a internet durante a epidemia, RJ veta multa por fidelidade para clientes de operadoras, LG lança celulares no Brasil, Xiaomi anuncia a Mi Band 5, Twitter pede para ler antes de compartilhar, Apoiadores do Black Lives Matter estão usando anúncios do YouTube para doar dinheiro, Microsoft não venderá reconhecimento facial a polícias, Amazon bane polícias do Rekognition por 1 ano, Europa investigará a Amazon, Sony detalha o PS5, Twitter testa reações, Redes Sociais farão relatório de combate a mentiras, Technology Coalition anuncia plano de combate a exploração, infantil, Apple remove apps de podcasts na China, Apple descontinuará o iBooks author e iTunes U, Apple lança iniciativa antirracismo, Apple detalha a WWDC 2020. Sobre o Podcast O Loop Matinal é um podcast do Loop Infinito que traz as notícias mais importantes do mundo da tecnologia para quem não tem tempo de ler sites e blogs de tecnologia. Marcus Mendes apresenta um resumo rápido e conciso das notícias mais importantes, sempre com bom-humor e um toque de acidez. Confira as notícias das últimas 24h, e até amanhã! -------------------------------- Patrocínio: Alura Cursos Online de Tecnologia Inscreva-se no Imersão Aura de Programação de Jogos até 21/6 e aprenda a desenvolver um game! Acesse: https://www.alura.com.br/imersao-gamedev -------------------------------- Apoie o Loop Matinal! O Loop Matinal está no apoia.se/loopmatinal e no picpay.me/loopmatinal! Se você quiser ajudar a manter o podcast no ar, é só escolher a categoria que você preferir e definir seu apoio mensal. Obrigado em especial aos ouvintes Aldan Borges, Alexsandra Romio, Aline Azevedo, Alisson Rocha, Anderson Barbosa, Anderson Cazarotti, André Fernandes, Angelo Almiento, Arthur Givigir, Breno Farber, Bruna Almeida, Caio Santos, Carolina Vieira, Christiano Malgueiro, Christophe Trevisani, Claudio Souza, Dan Fujita, Daniel Martins, Daniel Ivasse, Daniel Cardoso, Edgard Contente, Edson Pieczarka Jr, Endriw Chaves, Evandro Faria, Fabio Garcia, Fabio Brasileiro, Felipe, Francisco Neto, Frederico Souza, Guilherme Rocha, Guilherme Santos, Henrique Orçati, Horacio Monteiro, Igor Antonio, Igor Silva, Jeadilson Bezerra, João Mendes, Jorge Fleming, José Limaverde, Jose Junior, Jose Vandenildo, Juliana Majikina, Juliano Cezar, Junio Araujo, Leandro Bodo, Leonardo Shinagawa, Louise Potrich, Lucas Santos, Lucas Maniero, Luiz Mokwa, Luiz Mota, Marcelo Campos, Márcio Dantas, Marcos Amorim, Mario Junior, Matheus Magalhães, Mauricio Junior, Nilton Vivacqua, Otavio Tognolo, Paulo Sousa, Pedro Lemos, Rafael Santos, Renato Bartolamei, Ricardo Mello, Ricardo Soares, Rickybell, Roberto Chiaratti, Rodrigo Rezende, Rodrigo Oliveira, Teresa Borges, Tiago Soares, Victor Souza, Vitor Sá e Wilson Pimentel pelo apoio! -------------------------------- Rappi faz doação ao Governo de SP: https://www.b9.com.br/127376/rappi-doa-r-4-milhoes-ao-governo-do-estado-de-sao-paulo/ Brasileiros usaram mais a internet durante a epidemia: https://tecnoblog.net/344896/exclusivo-akamai-ve-uso-de-internet-crescer-112-no-brasil-durante-pandemia/ RJ veta multa por fidelidade para clientes de operadoras: https://tecnoblog.net/345068/rj-proibe-que-operadoras-de-telefonia-cobrem-multa-por-fidelidade/ LG lança celulares no Brasil: https://tecnoblog.net/344618/lg-k41s-k51s-e-k61-sao-novos-celulares-intermediarios-por-ate-r-1-899/ Xiaomi anuncia a Mi Band 5: https://tecnoblog.net/345154/xiaomi-lanca-mi-band-5-com-tela-maior-e-carregador-magnetico/ Twitter pede para ler antes de compartilhar: https://www.theverge.com/21286855/twitter-articles-prompt-unread-feature-conversations Apoiadores do Black Lives Matter estão usando anúncios do YouTube para doar dinheiro: https://onezero.medium.com/blm-activists-devised-a-brilliant-way-to-raise-money-from-youtubes-adsens-8342f67d0e32 Microsoft não venderá reconhecimento facial a polícias: http://www.techmeme.com/200611/p27#a200611p27 Amazon bane polícias do Rekognition por 1 ano: https://www.theverge.com/2020/6/10/21287101/amazon-rekognition-facial-recognition-police-ban-one-year-ai-racial-bias Europa investigará a Amazon: https://www.theverge.com/2020/6/11/21287672/amazon-european-union-antitrust-charges-third-party-seller-data Sony detalha o PS5: https://www.theverge.com/2020/6/11/21212989/ps5-playstation-5-console-announcement-design-hardware-specs-sony Resumão do evento da Sony: https://www.theverge.com/2020/6/11/21287785/ps5-playstation-5-sony-event-games-news-trailers Sony mostra jogos do PS5: https://tecnoblog.net/345321/sony-mostra-jogos-de-ps5-gta-5-melhorado-novo-spider-man-e-mais/ PS5: Horizon Forbidden West: https://www.theverge.com/2020/6/11/21285673/horizon-forbidden-west-2-ps5-trailer-teaser-zero-dawn-sequel PS5: Gran Turismo 7: https://www.theverge.com/2020/6/11/21275346/gran-turismo-7-ps5-sony-playstation-5-polyphony-digital PS5: GTA V: https://www.theverge.com/2020/6/11/21288378/grand-theft-auto-v-5-gta-ps5-2021-release PS5: Spider Man - Miles Morales: https://www.theverge.com/21277237/spider-man-2-ps5-playstation-5-teaser-trailer-sony-gameplay Twitter testa reações: https://www.xda-developers.com/twitter-tests-tweet-reactions-prompt-users-actually-read-articles-before-retweeting/ Redes Sociais farão relatório de combate a mentiras: https://www.theverge.com/2020/6/11/21287598/coronavirus-disinformation-reports-google-facebook-twitter-eu-monthly Technology Coalition anuncia plano de combate a exploração infantil: https://www.cnbc.com/2020/06/11/google-facebook-and-microsoft-back-plan-to-combat-child-sexual-abuse.html Apple remove apps de podcasts na China: https://www.theverge.com/2020/6/11/21287436/pocket-casts-castro-china-apple-government-pressure Apple descontinuará o iBooks author e iTunes U: https://9to5mac.com/2020/06/10/apple-is-discontinuing-ibooks-author-and-itunes-u/ Apple lança iniciativa antirracismo: https://www.theverge.com/2020/6/11/21287999/apple-racial-equity-justice-initiative-amount-cook-lisa-jackson Apple detalha a WWDC 2020: https://www.apple.com/newsroom/2020/06/apple-reveals-lineup-for-its-biggest-ever-worldwide-developers-conference/ -------------------------------- Site do Loop Matinal: http://www.loopmatinal.com Anuncie no Loop Matinal: comercial@loopinfinito.net Marcus Mendes: https://www.twitter.com/mvcmendes Loop Infinito: https://www.youtube.com/oloopinfinito
Smartphone convergence, Android 11 Beta.Apple announced that they would be sunsetting iBooks Author and iTunes U, but the writing was on the wall.Amazon banned police use of its Rekognition facial recognition technology for one year while it waits for Congress to implement stronger regulations.Daniel Bader from Android Central details the new features of Android 11 Beta 1, and what consumers can get excited about when its officially released later this year.On CNET's 25 year anniversary, Brian Cooley talks about how the smartphone revolution could easily have never happened if convergence wasn't embraced early on. Hosts: Jason Howell and Mikah Sargent Guests: Daniel Bader and Brian Cooley Download or subscribe to this show at https://twit.tv/shows/tech-news-weekly. Sponsors: LastPass.com/twit expressvpn.com/tnw
On this week's The Drill Down podcast, China heats up the trade war, the most dangerous laptop ever, Facebook's own Bitcoin, a collision of Tesla news ... and much, much more. Headlines China Gears Up to Weaponize Rare Earths in Trade War Auction for a laptop full of malware closes at $1.3 million (updated) Amazon defeated Rekognition revolt by a large margin Facebook plans to launch 'GlobalCoin' currency in 2020 Audible Book of the Week Fire & Blood by George RR Martin Sign up at AudibleTrial.com/TheDrillDown Music Break: Light of the Seven by Ramin Djawadi Hot Topic Elon Musk Says ‘Hyperloop' Tunnel Is Now Just a Normal Car Tunnel Because ‘This Is Simple and Just Works' There's a 'crisis of confidence' in Tesla Tesla's Chinese-built Model 3 could cost almost $10,000 less than imported versions Tesla makes people guess made-in-China Model 3 price ahead of announcement New lawsuit against Tesla alleges pregnant woman was pinned against the wall by her Model X, breaking her bones and sending her into premature labor Tesla's New Autopilot 'Violates State Laws' According To Consumer Reports Music Break: Killer Cars by Radiohead Final Word Why It's Time To Think About Self-Driving Cars In Regards To Parking The Drill Down Video of the Week Doctored Pelosi video highlights the threat of deepfake tech Doctored Pelosi Video Virally Shared Original Pelosi Video Doctored Pelosi video is leading tip in coming disinformation battle Why Facebook is right not to take down the doctored Pelosi video Subscribe! The Drill Down on iTunes (Subscribe now!) Add us on Stitcher! The Drill Down on Facebook The Drill Down on Twitter Geeks Of Doom's The Drill Down is a roundtable-style audio podcast where we discuss the most important issues of the week, in tech and on the web and how they affect us all. Hosts are Geeks of Doom contributor Andrew Sorcini (Mr. BabyMan), marketing research analyst Dwayne De Freitas, and Vudu product manager Tosin Onafowokan.
On this week on The Mack Talks, the guys discuss the new Facebook “Secret Crush” feature, the Anheuser Busch v Molson Coors case, Amazon's new facial recognition software, and more. Most importantly, we finally answer the age-old question “can money buy you happiness?” Tune in to learn more!
Facebook plans on unifying the messaging infrastructure in Instagram, FB Messenger and What's App. DeepMind's AlphaStar AI was finally defeated in StarCraft II after defeating 10 other players. MIT's MediaLab found Amazon's Rekognition software misidentified the faces of darker complexioned and female faces at a higher rate than those of lighter skinned men. Starring Tom Merritt, Sarah Lane, Roger Chang, Len Peralta and Robb Dunewood. See acast.com/privacy for privacy and opt-out information. Become a member at https://plus.acast.com/s/dtns.
Facebook has three popular, and increasingly similar, messaging apps that all run different code. While Mark Zuckerberg plots to bring them together into a common platform to improve performance and simplify development, we suspect the real goal is more user data and better advertising models. Plus our Fast Five: - The first jack-less, port-less, butt-less phone from Vivo; - The FCC's strange case against Qualcomm; - Amazon's questionable Rekognition recognition issue; - Is Apple's answer to climate change an iPhone flashlight; and - IBM's financials are actually kinda impressive. Our Tech Bites Winner: Facebook encourages kids to spend mom & dad's money. What could go wrong with Facebook's "friendly fraud" strategy? Our Crystal Ball: Huawei claims it will soon be #1 in smartphone sales, but just how realistic is this in an environment mired in trade wars and corporate espionage? This episode features: Daniel Newman (@danielnewmanUV), Fred McClimans (@fredmcclimans), and Olivier Blanchard (@oablanchard). If you haven't already, please subscribe to our show on iTunes or SoundCloud. For inquiries or more information on the show you may email the team at info@futurumresearch.com or follow @FuturumXYZ on Twitter and feel free to direct inquires through that channel as well. To learn more about Future research please visit www.futurumresearch.com. Futurum Research is a research and analysis provider, not an investment advisor. The Futurum Tech Podcast is a newsletter/podcast intended for informational use only. Futurum Research does not provide personalized investment advice. No investment advice is offered nor implied by this podcast.
The AWS machine learning services are more examples of the newer offerings. Nevertheless, these are growing fast and can help you embrace cutting edge technology. Machine learning is a recent technology in general so the time you spend understanding these services may help you land that next job. Amazon SageMaker This service provides a method for building, training, and deploying machine learning models at any scale. This is a great way to try out machine learning. The time you spend here is good to use on your next resume update. You do need to put some data on S3 to analyze and then check out the use cases. There is a free tier for the first two months. Amazon Comprehend Quick and easy text analysis. Send your text to this service to analyze it for keywords among many other ways to do so. There is a free tier you can use to try it out and find out ways to organize and mine your content. Amazon Lex This service allows you to build voice and chatbots using the technology that drives Alexa. There are some templates, and the interface makes it easy to get started quickly. Amazon Polly If you want to create audio from your content, then this is the service for you. Try out the service a few thousand words at a time for free, and you can even download the audio in mp3 format. Amazon Rekognition The features that Comprehend provides for text is moved into the video world by Rekognition. This service analyzes video and can highlight or recognize people, objects, and other details you might search for in a stream. Amazon Translate This service provides a quick and easy way to translate text between any two languages. Much like Google translate, it is quick and provides an API that you can use to significantly increase your audience. Amazon Transcribe If you have ever wondered about transcribing audio notes (or a podcast), then this is the service for you. It is quick and easy to customize for even highly technical terms. The accuracy varies based on the clarity of the audio and background noise. AWS DeepLens This service is best understood by utilizing the tutorials. It provides a way to analyze videos for objects, faces, and activities. An essential difference between this and the others is that this is a piece of hardware and not just a service. It provides a camera with HD and onboard analysis tools for real-time processing of video. AWS Deep Learning AMIs This service provides quick start machine learning on EC2 through the AMIs. The configuration of a machine learning development environment can be tedious and time-consuming. These AMI options offer a shortcut to get working sooner. Apache MXNet on AWS This is a machine learning framework Apache MXNet is a fast and scalable training and inference framework with an easy-to-use, concise API for machine learning. MXNet includes the Gluon interface that allows developers of all skill levels to get started with deep learning on the cloud, on edge devices, and mobile apps. In just a few lines of Gluon code, you can build linear regression, convolutional networks and recurrent LSTMs for object detection, speech recognition, recommendation, and personalization. TensorFlow on AWS This is a machine learning framework on AWS. I think their description works best and avoids any ignorance about it on my end. "TensorFlow™ enables developers to quickly and easily get started with deep learning in the cloud. The framework has broad support in the industry and has become a popular choice for deep learning research and application development, particularly in areas such as computer vision, natural language understanding, and speech translation. You can get started on AWS with a fully-managed TensorFlow experience with Amazon SageMaker, a platform to build, train, and deploy machine learning models at scale. Or, you can use the AWS Deep Learning AMIs to build custom environments and workflows with TensorFlow and other popular frameworks including Apache MXNet, PyTorch, Caffe, Caffe2, Chainer, Gluon, Keras, and Microsoft Cognitive Toolkit."
The AWS media services are among their more recent offerings. Nevertheless, these are applications you may find critical to your cloud strategy. These may not be very familiar to you if media processing is not your thing. On the other hand, they are what you hope for if it is your focus. Amazon Elastic Transcoder: Easy-to-use Scalable Media Transcoding The first service we look at is the transcoder. It has a simple function of translating video media from one format to another. Fortunately, it has a free tier of twenty minutes of transcoding each month. Thus, you can "play around" with it and avoid fees. Once you get beyond the free threshold, it is priced based on the resolution and length of the video. There will also be storage costs on S3 as that is used for the input and output. It is quick and easy to use so may be the perfect solution for a one-off transcoding need. Amazon Kinesis Video Streams: Process and Analyze Video Streams This service is aimed at automatic storage, translation, analysis, cataloging, etc. of video streams. It is priced based on GB streamed and is perfect for services like Rekognition and other stream analysis tools. It may seem a bit much currently. However, this sort of functionality is becoming more popular in use every day as technology advances to make science fiction IT a reality. AWS Elemental MediaConvert: Convert File-based Video Content The MediaConvert service provides media conversion and processing for video on demand applications. It takes a source video and then transcodes, encrypts, and converts it to the desired formats. As with many of the other media services it uses S3 for its storage. On top of that is pricing based on the FPS level of the output. AWS Elemental MediaLive: Convert Live Video Content This service provides broadcast grade live streaming content. If you want to look as good as any organization streaming video, then take a look at this tool. The pricing is based on resolution and per hour of streaming so it is best suited for things like training and conference streams. AWS Elemental MediaPackage: Video Origination and Packaging Use this service to prepare and protect video for delivery to devices or players. It is priced by the GB ingested and is perfect for pay to view solutions and special offerings for your customers. You might even look at this as an alternative to a UDemy or similar platform to do it all on your own. AWS Elemental MediaStore: Media Storage and Simple HTTP Origin This service is tailored to store and deliver a video for live streaming. The pricing is based on GB optimized, and storage costs apply as well. When you want to provide a video without allowing a download of the entire file and otherwise protect your IP, this is the solution you are looking for. AWS Elemental MediaTailor: Video Personalization and Monetization We all like to make money. In the video world, the way to make money is often inserting advertising. This service provides a way to insert personalized ad videos into your streams. It is priced per one thousand inserts. It also offers some tools to help you in finding advertisers as well as push the ads. When you want to monetize your streaming videos, then this service is the one you want to look at.
Jacob Snow discusses Amazon's Rekognition program, which is being promoted for use at the state and federal level to use facial recognition to fight crime.
This week, Disney votes to buy Fox, is Amazon's facial recognition racist?, a big loss for Facebook, is Moviepass dead?, robot Segways, ... and much, much more. What We're Playing With: Dwayne: Feiyen Outlet Wall Mount Hanger Holder Stand Only For Amazon Echo Dot 2nd Generation Tosin: Empire Strikes Back with SF Symphony Headlines Apple sold 41.3 million iPhones during June quarter Amazon's Rekognition messes up, matches 28 lawmakers to mugshots Disney, 21st Century Fox Shareholders Vote to Approve $71.3 Billion Merger Here's a List of Some Non-Marvel Properties That Disney Will Get From Fox Audible Book of the Week Becoming Facebook: The 10 Challenges That Defined the Company That's Disrupting the World by Mike Hoefflinger Sign up at AudibleTrial.com/TheDrillDown Music Break: The Duel (from 'The Empire Strikes Back') by John Williams Hot Topic: Fixing Facebook After Facebook Stock Plunge, Mark Zuckerberg Worth Less Than Warren Buffett Facebook Shares Drop Again. Zuckerberg Loses Another $660 Million Facebook's erosion problem: Digital consumption share is dropping as other platforms gain Why Facebook's Core Business Needs to Start Executing Like Instagram Alex Jones hit by 30-day Facebook suspension for bullying and hate speech Facebook Identifies an Active Political Influence Campaign Using Fake Accounts Music Break: Everyone's Gone to the Movies by Steely Dan Final Word: Decline of Moviepass The MoviePass outage was caused by the company temporarily running out of money, and it borrowed $5 million in cash to turn the service back on MoviePass blocking users from watching Mission: Impossible 6 this weekend MoviePass is raising its price and cutting access to blockbusters The Drill Down Video of the Week Turing Video and Segway Robotics Introduce Intelligent, Affordable Security Robot NIMBO Subscribe! The Drill Down on iTunes (Subscribe now!) Add us on Stitcher! The Drill Down on Facebook The Drill Down on Twitter Geeks Of Doom's The Drill Down is a roundtable-style audio podcast where we discuss the most important issues of the week, in tech and on the web and how they affect us all. Hosts are Geeks of Doom contributor Andrew Sorcini (Mr. BabyMan), marketing research analyst Dwayne De Freitas, and Vudu product manager Tosin Onafowokan.
This week, the ACLU tested Amazon's “Rekognition” facial recognition software, comparing 25,000 mugshots and members of US Congress with interesting results. What does this mean to the future of facial recognition in law enforcement and machine learning as a whole? Also, we are now only two weeks out from the annual Black Hat and DEF CON security conferences in Las Vegas. We'll preview what you can expect if you attend as well as the talks we are looking forward to the most.
Amazon touts its Rekognition facial recognition system as “simple and easy to use,” encouraging customers to “detect, analyze, and compare faces for a wide variety of user verification, people counting, and public safety use cases.” And yet, in a study released Thursday by the American Civil Liberties Union, the technology managed to confuse photos of 28 members of Congress with publicly available mug shots.
On this Episode of #TEP we have 2 special guest hosts! 2 Charter members from the Renegades of Mayhem clan stop by to talk Wrassling! Say hello to Riputo aka the Reel Correspondent aka El Jefe aka El Presidente aka The Spaniard joining us from The Reel Mentors Podcast (go check them out!) and making his PODCASTING DEBUT on my little show, say hello to Reko aka Rekognition aka The BIGGEST New Day fan EVER as we chat about the Good bad and Ugly of this Wrestlemania card. Strap in for a 2 hours extravganza of Stunners, Brouge Kicks, and tiddlywinks! --- Send in a voice message: https://anchor.fm/theeverythingpodcast/message
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