Podcasts about image recognition

Dr. Neil Parikh, Chief Innovation Officer at Connecticut GI and Chair of the GI Alliance Innovation Committee, brings a refreshingly grounded perspective to the future of gastroenterology. For him, innovation isn't research—it's real-world feasibility. It's pilot programs born from pain points like access, cost, and patient satisfaction. And it's about using the scale and clinical volume of independent practices to drive meaningful change—shaping not just care delivery, but potentially the guidelines themselves.In this candid conversation, Dr. Parikh maps out where GI is headed: AI-powered triage and documentation, actionable microbiome data, non-invasive diagnostics, and the quiet revolution of food and alternative therapies. He also confronts uncomfortable truths—how procedural pressures limit innovation, why most ideas fail, and how listening to patients might be the most radical act of all.*02:24 - Innovation Is Feasibility, Not Just ResearchDr. Parikh distinguishes innovation from academic research—it's about pilots and practical implementation at scale within large independent practices.04:11 - Pain Points Drive InnovationThe three main challenges—access, cost, and patient satisfaction—are core drivers of innovation in gastroenterology today.05:31 - AI in Every Step of the GI WorkflowFrom pre-visit triage to in-room documentation and post-visit care coordination, AI is envisioned as a co-pilot in delivering efficient, real-time GI care.08:56 - Image Recognition in Endoscopy Is Just the BeginningAI's role in computer-aided detection (CADe) is evolving beyond polyps—towards liver, pancreas, and upper GI diagnostics.09:34 - The Microbiome Will Become ActionableThe future lies not just in mapping gut flora but in personalizing interventions (diet, lifestyle) based on microbiome data—and gastroenterologists must lead this shift.12:16 - The Future of GI Will Require Non-Invasive DiagnosticsLimited capacity for colonoscopies and rising costs necessitate non-invasive tools to triage and expand screening for cancers and chronic conditions.21:49 - Innovation Needs Leadership That Sees Beyond RVUsFor roles like his to exist, organizational leaders must value long-term transformation over short-term productivity.28:28 - Podcasts as an Innovation EngineDr. Parikh's Gut Doctor podcast began as an internal education tool but evolved into a national platform.31:18 - Dr. Parikh Integrates Food, Lifestyle, and Alternative Therapies into GI CareFrom yogurt to apple cider vinegar to adult coloring books, Dr. Parikh integrates low-risk, patient-driven solutions into mainstream GI care—with humility and openness.42:07 - The Gut-Brain Axis Is Central to GI CareStress, sleep, and mental health directly affect GI function. Behavioral tools like CBT, mindfulness, and even “phone detox” are practical levers for healing.47:06 - Physicians Still Want to See Patients—The System Doesn't Let ThemContrary to perception, most GIs value patient interactions. However, systemic incentives push them toward procedures. Changing reimbursement models can rebalance the equation.52:24 - Younger Physicians Need to Be Honest About Their GoalsTrainees often say what's expected to secure jobs. Neil advises them to take time, be honest with themselves and their future employers to build meaningful careers.*#digitalhealth #gastroenterology #thescopeforwardshow #nextservices #gi #future #ai #theshift

Video - https://youtu.be/xjRjKBLt8dYPutting Gemini Live to work analyzing an old souvenir.I was amazed at the amount of detail it "sees" and how it passes that information on to the user.It isn't human but it's getting closer. Why not put it to work and let it discover some memories from your own past.

In this episode we are looking at an area which impacts every business in the world. Unstructured data - that is, how we can start to squeeze insight from the piles of text, audio, video, and every other type of data that doesn't fit into a neat table.Carefully analysed, it can contain valuable insight, to be compared against other more traditional metrics such as sales figures, or economic results.Joining us to discuss is Gokul Sathiacama, VP of data storage for AI at Hewlett Packard Enterprise.This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week we look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations and what we can learn from it. About this week's guest, Gokul Sathiacama: https://www.linkedin.com/in/gokuls/Sources cited in this week's episode:Statistics on global data generation: https://www.statista.com/statistics/871513/worldwide-data-created/Statistics on global IOT devices: https://paxtechnica.org/?page_id=738#:~:text=%E2%80%9COur%20IoT%20world%20is%20growing,billion%20by%202020.%E2%80%9D%20Intel.&text=Gartner.&text=Cisco.,-2011&text=%E2%80%9CGlobal%20M2M%20connections%20will%20increase,at%20the%20end%20of%202022.Global Web Index stats on smart devices: https://www.globalwebindex.net/

In this episode we are looking at an area which impacts every business in the world. Unstructured data - that is, how we can start to squeeze insight from the piles of text, audio, video, and every other type of data that doesn't fit into a neat table.Carefully analysed, it can contain valuable insight, to be compared against other more traditional metrics such as sales figures, or economic results.Joining us to discuss is Gokul Sathiacama, VP of data storage for AI at Hewlett Packard Enterprise.This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week we look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations and what we can learn from it. About this week's guest, Gokul Sathiacama: https://www.linkedin.com/in/gokuls/Sources cited in this week's episode:Statistics on global data generation: https://www.statista.com/statistics/871513/worldwide-data-created/Statistics on global IOT devices: https://paxtechnica.org/?page_id=738#:~:text=%E2%80%9COur%20IoT%20world%20is%20growing,billion%20by%202020.%E2%80%9D%20Intel.&text=Gartner.&text=Cisco.,-2011&text=%E2%80%9CGlobal%20M2M%20connections%20will%20increase,at%20the%20end%20of%202022.Global Web Index stats on smart devices: https://www.globalwebindex.net/

In this episode we are looking at an area which impacts every business in the world. Unstructured data - that is, how we can start to squeeze insight from the piles of text, audio, video, and every other type of data that doesn't fit into a neat table.Carefully analysed, it can contain valuable insight, to be compared against other more traditional metrics such as sales figures, or economic results.Joining us to discuss is Gokul Sathiacama, VP of data storage for AI at Hewlett Packard Enterprise.This is Technology Now, a weekly show from Hewlett Packard Enterprise. Every week we look at a story that's been making headlines, take a look at the technology behind it, and explain why it matters to organizations and what we can learn from it. About this week's guest, Gokul Sathiacama: https://www.linkedin.com/in/gokuls/Sources cited in this week's episode:Statistics on global data generation: https://www.statista.com/statistics/871513/worldwide-data-created/Statistics on global IOT devices: https://paxtechnica.org/?page_id=738#:~:text=%E2%80%9COur%20IoT%20world%20is%20growing,billion%20by%202020.%E2%80%9D%20Intel.&text=Gartner.&text=Cisco.,-2011&text=%E2%80%9CGlobal%20M2M%20connections%20will%20increase,at%20the%20end%20of%202022.Global Web Index stats on smart devices: https://www.globalwebindex.net/

4th AHA 2024: AI image-recognition for heart images

Co-hosts Mark Thompson and Steve Little explore the potential benefits of Meta's open-source approach to AI. Next, they discuss MyHeritage's plans to retire an AI feature. Then, they review the AI image generation features recently added to Adobe Illustrator. In this week's Tip of the Week, they share valuable insights on crafting effective, hallucination-resistant, AI prompts using the “role, task, and format” prompting method.The RapidFire segment covers Apple's AI delays, Google's impressive math achievements, Reddit's web crawling restrictions, OpenAI's venture into AI-based search, and Meta's groundbreaking image recognition advancements.This episode offers a perfect blend of practical applications and future possibilities, making it essential listening for genealogists navigating the AI revolution. Whether you're a tech enthusiast or a family history buff, this show provides the knowledge you need to stay ahead in the rapidly changing world of AI.Timestamps:## In the News03:18 Meta's Impact on Corporate Genealogy: Discussion of Meta.ai's release and its implications07:54 MyHeritage's AI Feature Removal: Retirement of AI Record Finder tool10:11 Adobe's AI Integration: New AI features in Adobe Illustrator ## Tip of the Week19:32 Building Better Prompts: Role, Task, and Format: Explanation and examples of this prompting technique ## RapidFire Topics27:55 Apple's AI Delays: Postponement of Apple Intelligence Tools33:18 Google's AI Math Achievement: AI Performance in Math Olympics36:55 Reddit's Web Crawling Restrictions: Implications for AI training data41:22 OpenAI's SearchGPT Development: Potential impact on search engines and competitors45:30 Meta's SAM 2 Release: Advancements in image and video recognition Resource Links:Adobe Acrobat: https://acrobat.adobe.com/Adobe Illustrator: https://www.adobe.com/products/illustrator.htmlAdobe Lightroom: https://www.adobe.com/products/photoshop-lightroom.htmlAdobe Photoshop: https://www.adobe.com/products/photoshop.htmlAirtable: https://www.airtable.com/Apple Intelligence: https://www.apple.com/apple-intelligence/Canva: https://www.canva.com/ChatGPT: https://chat.openai.com/Claude (Anthropic): https://claude.ai/FamilySearch: https://www.familysearch.org/Gemini (Google): https://deepmind.google/technologies/gemini/Google AI: https://ai.google/Google Docs: https://docs.google.com/Meta AI: https://ai.meta.com/Microsoft Copilot: https://copilot.microsoft.com/MyHeritage: https://www.myheritage.com/OpenAI: https://openai.com/Perplexity: https://www.perplexity.ai/Reddit: https://www.reddit.com/SearchGPT: https://openai.com/index/searchgpt-prototype/Segment Anything Model (SAM) by Meta: https://ai.meta.com/sam2/Tags: AI in Genealogy, Meta AI, MyHeritage, Adobe Illustrator, AI Prompts, Open Source AI, Apple Intelligence, Google AI, Reddit, OpenAI, SearchGPT, SAM 2, Image Recognition, Family History, Genealogy Tools, AI Ethics, Transcription, Optical Character Recognition (OCR), Handwritten Text Recognition (HTR), Perplexity, Large Language Models, AI-Enabled Search, Artificial Intelligence, Genealogical Research, AI Record Finder, Prompting Techniques, AI Integration, Web Crawling, Data Privacy, Machine Learning, Computer Vision, AI in Adobe Products, AI Math Capabilities, Digital Genealogy, AI-Powered Tools, Genealogy Software, AI Advancements, Family Tree Research, AI for Historians, Future of Genealogy

Pratik Desai is the founder of Kissan, an AI startup that provides a multilingual voice-based co-pilot app for farmers in India, primarily used for market access queries, crop health issues, and exploring new farming techniques. 

Our guest is Peter Vasilyev, Business Development Director Europe at Ailet, an Image Recognition Solution. He joins the show to speak about how this technology can empower FMCG sales forces, as well as Retailers and Distributors to really get a deep understanding of brand and category performance through quality data at scale. Tune into this conversation to learn about: How Image Recognition Technology can obtain store data with 95% accuracy Different KPIs that the technology supplies to FMCG companies Types of data that come from analyzing shelfs at scale How to implement the solution within a company What sets Ailet apart from other solutions in the market More: Follow us on Instagram: https://www.instagram.com/fmcgguys/  Follow us on LinkedIn: https://www.linkedin.com/company/fmcgguys/ Audio Mixing by Rodrigo Chávez Voice Acting by Jason Martorell Parsekian

SPREAKER, PODCAST, PODCASTING, AI, ARTIFICIALINTELLIGENCE, DIGITALMARKETING, marketing, FutureMarketing, AIFuture, FutureofAISpreaker Top Podcast of the Year in Artificial Intelligence Digital Marketing - AI DigitalMarketingis Digital Marketing Legend Leaks, Srinidhi Ranganathan - the human AI. THE BEST IN CREATIVE FICTION AND NON-FICTION!Become a supporter of this podcast: https://www.spreaker.com/podcast/digital-marketing-legend-leaks--4375666/support.

On today's episode of Virtual Sentiments, host Kristen Collins interviews John Kaufhold on the history of image recognition and deep learning. With over 30 years of experience in the artificial intelligence and machine learning world, John shares his history starting from his early days in speech recognition in the 90s. He covers the ImageNet Big Bang in 2012, the dramatic improvement of image recognition error rates and hardware power, neural networks, the development of chatbots, terminology, and discusses challenges such as data privacy, bias reproduction, existential risk, transparency in data sets, and more!Dr. John Kaufhold is an expert with over 30 years of experience in artificial intelligence and deep learning. He is the founder of Deep Learning Analytics, a machine learning company, and serves on the Advisory Board of the DC Data Community.References and related works to this episode: "Munk Debate on Artificial Intelligence | Bengio & Tegmark vs. Mitchell & LeCun" and Data Science DC's "How Attention in 2017 got us Chat GPT."Read more work from Kristen Collins.If you like the show, please subscribe, leave a 5-star review, and tell others about the show! We're available on Apple Podcasts, Spotify, Amazon Music, and wherever you get your podcasts.Follow the Hayek Program on Twitter: @HayekProgramLearn more about Academic & Student ProgramsFollow the Mercatus Center on Twitter: @mercatus

In this episode of Double Tap, Steven Scott and Shaun Preece dive into the world of accessible technology with their usual banter.The guys discuss the news from Google that the Pixel 8 smartphone won't be able to run their latest Gemini AI, while Wear OS 4 gets a new text to speech voice. Plus there are rumours about Apple's new upcoming accessibility features coming out in iOS 18 and Mac OS 15.Our main story today focuses on JAWS, the screenreader made by Vispero. The company's Vice President of Software and Product Development joins Steven and Shaun to discuss the new AI image recognition feature available now via their Early Adopters Program, and Michael Babcock joins in to share his first thoughts providing us with a short demo of the new feature in action.Keep in touch by emailing us feedback@doubletaponair.com or call 1-877-03-4567 and leave us a voicemail. You can also find us across social media.

Here are the topics covered in this episode, and the time in the file for each. Welcome to 269 0:00 Three extra episodes coming up 1:35 The founders of Envision, Karthik Mahadevan and Karthik Kannan, discuss Envision today and in the near future 4:26 iOS 17.4 is a significant release 1:07:57 JAWS introduces AI image recognition 1:22:23 Comments on the Deane Blazie interview 1:37:46 More memories of David Holladay 1:42:03 The Bonnie bulletin 1:44:28 Closing and contact info 1:59:59

Latent Space is heating up! Our paper club ran into >99 person Discord limits, oops. We are also introducing 2 new online meetups: LLM Paper Club Asia for Asia timezone (led by Ivan), and AI in Action: hands-on application of AI (led by KBall). To be notified of all upcoming Latent Space events, subscribe to our new Luma calendar (sign up for individual events, or hit the RSS icon to sync all events to calendar).In the halcyon open research days of 2022 BC (Before-ChatGPT), DeepMind was the first to create a SOTA multimodal model by taking a pre-existing LLM (Chinchilla 80B - now dead?) and pre-existing vision encoder (CLIP) and training a “glue” adapter layer, inspiring a generation of stunningly cheap and effective multimodal models including LLaVA (one of the Best Papers of NeurIPS 2023), BakLLaVA and FireLLaVA. However (for reasons we discuss in today's conversation), DeepMind's Flamingo model was never open sourced. Based on the excellent paper, LAION stepped up to create OpenFlamingo, but it never scaled beyond 9B. Simultaneously, the M4 (audio + video + image + text multimodality) research team at HuggingFace announced an independent effort to reproduce Flamingo up to the full 80B scale:The effort started in March, and was released in August 2023.We happened to visit Paris last year, and visited HuggingFace HQ to learn all about HuggingFace's research efforts, and cover all the ground knowledge LLM people need to become (what Chip Huyen has termed) “LMM” people. In other words:What is IDEFICS?IDEFICS is an Open Access Visual Language Model, available in 9B and 80B model sizes. As an attempt to re-create an open-access version of Flamingo, it seems to track very well on a range of multimodal benchmarks (which we discuss in the pod):You can see the reasoning abilities of the models to take a combination of interleaved images + text in a way that allows users to either describe images, ask questions about the images, or extend/combine the images into different artworks (e.g. poetry).

今年 OnBoard! 最后一期压轴上新！今年要谈论人工智能，怎么能错过这么一个重要的话题：机器人与AI的结合，或者说，Embodied intelligence, 具身智能。大模型的思路是否能带来机器人的ChatGPT时刻？机器人要具备泛化能力，有哪些进展又有哪些瓶颈？通过机器人让人工智能具备与环境感知和交互的能力，会为通用人工智能AGI带来哪些新的想象空间？ Hello World, who is OnBoard!? 今年下半年以来，尤其在国内，已经有不下十几家具身智能创业公司涌现。这一轮热潮中，从学术到工业落地，如何分别噪音与真实？以前将AI应用于机器人的尝试，比起这次的技术突破，又有哪些相同与不同？这次的嘉宾阵容，真是太适合回答这些问题了： 我们邀请了 Google DeepMind 的研究员Fei Xia，Deepmind 跟具身智能相关的最重磅的几个研究，从SayCan, PaLM-E，到 RT2，他都是核心参与者。 还有来自国内头部机器人创业公司高仙机器人的深度学习总监 Jiaxin, 带来产业界的视角。 以及 UCSD 的研究员 Fanbo Xiang，他参与的 Maniskill，SAPIEN 等与模拟环境相关的研究，都在学术前沿。 我们对AI泛化能力在机器人领域的落地进行了深入的讨论，也有不同观点的碰撞，精彩纷呈。其实这一期的录制已经过去了几个月，阴差阳错成了今年的压轴，也算是对于OnBoard 全年的一个圆满句号，又是整个OnBoard 旅程小小的逗号。新的一年，不论世界如何起落，我们都选择相信未来有希望，珍惜每一次对话，赞美每一个在未知中选择的勇士。Enjoy! 嘉宾介绍 Fei Xia, Google Deepmind 机器人团队资深研究员，PhD @Stanford University；PaLM-E, PaLM-SayCan, RT-2 作者 Jiaxin Li, 高仙机器人深度学习总监，ex字节跳动研究员，PhD @National University of Singapore Fanbo Xiang, PhD @UC San Diego；ManiSkill, SAPIEN 作者 OnBoard! 主持：Monica：美元VC投资人，前 AWS 硅谷团队+ AI 创业公司打工人，公众号M小姐研习录 (ID: MissMStudy) 主理人 | 即刻：莫妮卡同学 我们都聊了什么 02:47 几位嘉宾的自我介绍，主要的研究领域 05:34 大家最近看到的与具身智能相关的有意思的研究和行业进展 14:23 自动驾驶领域的生成模型，如何保证符合物理规律？ 18:34 如何定义具身智能？什么是测试机器人AGI 的“咖啡测试” ？ 27:59 梳理 Google Deepmind 机器人领域核心研究脉络：大模型对具身智能带来怎样的影响？ 40:29 Fanbo 在做的 low level 控制相关的研究，如何与大模型相结合？ 45:39 具身智能的实现目前有哪些主要技术路径？我们什么时候可以达到共识？ 50:40 从产业落地的角度，如何看待大模型对机器人领域的影响？有哪些现实的挑战？ 67:37 什么时候需要机器人具备通用能力？我们需要端到端的具身智能吗？ 72:47 对 Scaling law 的争议：在机器人领域能复现吗？如何平衡长期通用性研究和短期商业落地的需要？ 90:41 在具身智能系统的设计中，如何考虑加入人机互动的因素？ 96:29 硬件的发展会如何影响具身智能的发展？ 101:18 未来3-5年，大家最期望看到具身智能领域实现怎样的突破？有怎样值得期待的未来？ 重要论文和词汇 PaLM-E: An Embodied Multimodal Language Model SayCan: Do As I Can, Not As I Say: Grounding Language in Robotic Affordances RT-1: Robotics Transformer for Real-World Control at Scale RT-2: Vision-Language-Action Models ManiSkill: Learning-from-Demonstrations Benchmark for Generalizable Manipulation Skills ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills SAPIEN: A SimulAted Part-based Interactive ENvironment NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models, by Feifei Li VLM: Task-agnostic Video-Language Model Pre-training for Video Understanding Scaling laws for neural language models, by OpenAI Vision Transformer (ViT) - An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale ALOHA: A Low-cost Open-source Hardware System for Bimanual Teleoperation, from Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware The Bitter Lesson, by Rich Sutton MIT PDDL (Planning Domain Definition Language) sim2real: simulation to reality 我们提到的公司 Wayve.ai: reimagining self-driving with embodied AI 有鹿智能 LoCoBot: An Open Source Low Cost Robot 宇树科技 欢迎关注M小姐的微信公众号，了解更多中美软件、AI与创业投资的干货内容！ M小姐研习录 (ID: MissMStudy) 大家的点赞、评论、转发是对我们最好的鼓励！如果你能在小宇宙上点个赞，Apple Podcasts 上给个五星好评，就能让更多的朋友看到我们努力制作的内容，打赏请我们喝杯咖啡，就给你比心！

  טרנספורמרים הם ללא ספק המודל המועדף בעיבוד שפה - אבל האם גם בתמונות? אז... מסתבר שהתמונה לא כל כך ברורה בעיבוד תמונה. בפרק זה נדבר על היתרונות הגדולים של טרנספורמרים בתמונות - ועל הסיטואציות שבהן CNN מנצחות אותם.   קישורים Attention is All You Need An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale End-to-End Object Detection with Transformers Vision-Transformer-papers https://medium.com/@monocosmo77/best-research-papers-on-vision-transformers-784e48a3593a https://paperswithcode.com/methods/category/vision-transformer

Build and deploy copilot style apps that leverage the power of both GPT-4 Turbo with Vision and Azure AI Vision and Search in Microsoft's Azure AI Studio. Enable direct lookups from image inputs over your organizational data to ground generative AI responses. This marks a significant improvement in the accuracy of natural language processing and image recognition tasks to enable new generative AI scenarios. Video inputs are also uniquely supported when you combine GPT-4 Turbo with Vision and Azure AI Vision. Seth Juarez, Principal Program Manager for Azure AI, shares how it's easy to build and orchestrate powerful copilot style apps.   ► QUICK LINKS: 00:00 - GPT-4 Turbo with Vision + Azure AI Vision 00:42 - Baseline capabilities of GPT-4 Turbo with Vision 02:43 - Direct lookups of image and video data 04:53 - See the two combined: Demo 05:52 - How to build it 07:17 - See the code behind your app 08:07 - Wrap up   ► Link References Start using Azure AI Studio today at https://ai.azure.com Watch a detailed overview at https://aka.ms/AzureAIStudioMechanics Check out our QuickStart guides at https://aka.ms/LearnAIStudio     ► Unfamiliar with Microsoft Mechanics?  As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast   ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics  • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics

An airhacks.fm conversation with Jose Paumard (@JosePaumard) about: TI-57 was stateless Oric 1, BigDecimal use cases, the travelling salesman algorithm, the Cray, working with Sun SPARC machines, CM5 and NeXTcube, the conference in generate code, star recognition, working at research Lab in Paris, enjoying emacs, emacs vs. vim, writing documentation in LatEx working on SunOS then Solaris, HPUX and CDE, 512 MB RAM of the price of a flat in Paris, processing large images and recognising building in real time, wavelet and cosine transforms, starting as professor in 1994 , JDBC war leased in 1997 with Java 1.1., working as devrel at Oracle three years again, running AI models, project Panama is the bridge, Java innovation, pattern matching in Java, String Templates, Java 21 LTS, youbube.com/java Jose Paumard on twitter: @JosePaumard

This is the AI News Briefing of October 09, 2023.(00:39): Rise of LLaVa(01:13): Flot.AI Unveiled(01:36): Epik's Viral Yearbook(02:11): OpenAI's AI Chips(02:28): Walmart's AI Shopping(02:37): Meta's Sticker FiascoRise of LLaVa: https://llava-vl.github.io/Flot.AI Unveiled: https://flot.ai/?via=AdeptoEpik's Viral Yearbook: https://petapixel.com/2023/10/05/epik-apps-ai-90s-yearbook-photo-trend-is-taking-over-the-internet/OpenAI's AI Chips: https://www.reuters.com/technology/chatgpt-owner-openai-is-exploring-making-its-own-ai-chips-sources-2023-10-06/Walmart's AI Shopping: https://techcrunch.com/2023/10/04/walmart-experiments-with-new-generative-ai-tools-that-can-help-you-plan-a-party-or-decorate-a-space/Meta's Sticker Fiasco: https://gizmodo.com/meta-ai-stickers-generate-controversial-cartoon-images-1850898685Follow our newsletter at www.adepto.ai for a deeper dive into these fascinating developments and for the latest AI news and insights.The AI News Briefing has been produced by Adepto in cooperation with Wondercraft AI.Music: Inspire by Kevin MacLeod (incompetech.com), Licensed under Creative Commons: By Attribution 3.0 http://creativecommons.org/licenses/by/3.0/

Guest: William Wu, CEO at Artisse [@artisseai]On Linkedin | https://www.linkedin.com/in/william-wu/____________________________Host: Marco Ciappelli, Co-Founder at ITSPmagazine [@ITSPmagazine] and Host of Redefining Society PodcastOn ITSPmagazine | https://www.itspmagazine.com/itspmagazine-podcast-radio-hosts/marco-ciappelli_____________________________This Episode's SponsorsBlackCloak

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AI is another major technological innovation. AI needs data, or more precisely, big organized data. Most data processing is about making it useful for automatic systems such as machine learning, deep learning, and other AI systems. But one big problem with AI systems is that they lack context. An AI system is a pattern recognition machine devoid of any understanding of how the world works.This lecture discusses how AI systems are used in business and their limitations.A lecture by Raghavendra Rau recorded on 22 May 2023 at Barnard's Inn Hall, London.The transcript and downloadable versions of the lecture are available from the Gresham College website: https://www.gresham.ac.uk/watch-now/ai-businessGresham College has offered free public lectures for over 400 years, thanks to the generosity of our supporters. There are currently over 2,500 lectures free to access. We believe that everyone should have the opportunity to learn from some of the greatest minds. To support Gresham's mission, please consider making a donation: https://gresham.ac.uk/support/Website:  https://gresham.ac.ukTwitter:  https://twitter.com/greshamcollegeFacebook: https://facebook.com/greshamcollegeInstagram: https://instagram.com/greshamcollegeSupport the show

YT version: https://youtu.be/P1j3VoKBxbc (references in pinned comment) Support us! https://www.patreon.com/mlst MLST Discord: https://discord.gg/aNPkGUQtc5 Dan McQuillan, a visionary in digital culture and social innovation, emphasizes the importance of understanding technology's complex relationship with society. As an academic at Goldsmiths, University of London, he fosters interdisciplinary collaboration and champions data-driven equity and ethical technology. Dan's career includes roles at Amnesty International and Social Innovation Camp, showcasing technology's potential to empower and bring about positive change. In this conversation, we discuss the challenges and opportunities at the intersection of technology and society, exploring the profound impact of our digital world. Interviewer: Dr. Tim Scarfe [00:00:00] Dan's background and journey to academia [00:03:30] Dan's background and journey to academia [00:04:10] Writing the book "Resisting AI" [00:08:30] Necropolitics and its relation to AI [00:10:06] AI as a new form of colonization [00:12:57] LLMs as a new form of neo-techno-imperialism [00:15:47] Technology for good and AGI's skewed worldview [00:17:49] Transhumanism, eugenics, and intelligence [00:20:45] Valuing differences (disability) and challenging societal norms [00:26:08] Re-ontologizing and the philosophy of information [00:28:19] New materialism and the impact of technology on society [00:30:32] Intelligence, meaning, and materiality [00:31:43] The constraints of physical laws and the importance of science [00:32:44] Exploring possibilities to reduce suffering and increase well-being [00:33:29] The division between meaning and material in our experiences [00:35:36] Machine learning, data science, and neoplatonic approach to understanding reality [00:37:56] Different understandings of cognition, thought, and consciousness [00:39:15] Enactivism and its variants in cognitive science [00:40:58] Jordan Peterson [00:44:47] Relationism, relativism, and finding the correct relational framework [00:47:42] Recognizing privilege and its impact on social interactions [00:49:10] Intersectionality / Feminist thinking and the concept of care in social structures [00:51:46] Intersectionality and its role in understanding social inequalities [00:54:26] The entanglement of history, technology, and politics [00:57:39] ChatGPT article - we come to bury ChatGPT [00:59:41] Statistical pattern learning and convincing patterns in AI [01:01:27] Anthropomorphization and understanding in AI [01:03:26] AI in education and critical thinking [01:06:09] European Union policies and trustable AI [01:07:52] AI reliability and the halo effect [01:09:26] AI as a tool enmeshed in society [01:13:49] Luddites [01:15:16] AI is a scam [01:15:31] AI and Social Relations [01:16:49] Invisible Labor in AI and Machine Learning [01:21:09] Exploititative AI / alignment [01:23:50] Science fiction AI / moral frameworks [01:27:22] Discussing Stochastic Parrots and Nihilism [01:30:36] Human Intelligence vs. Language Models [01:32:22] Image Recognition and Emulation vs. Experience [01:34:32] Thought Experiments and Philosophy in AI Ethics (mimicry) [01:41:23] Abstraction, reduction, and grounding in reality [01:43:13] Process philosophy and the possibility of change [01:49:55] Mental health, AI, and epistemic injustice [01:50:30] Hermeneutic injustice and gendered techniques [01:53:57] AI and politics [01:59:24] Epistemic injustice and testimonial injustice [02:11:46] Fascism and AI discussion [02:13:24] Violence in various systems [02:16:52] Recognizing systemic violence [02:22:35] Fascism in Today's Society [02:33:33] Pace and Scale of Technological Change [02:37:38] Alternative approaches to AI and society [02:44:09] Self-Organization at Successive Scales / cybernetics

In the past year we have seen AI go from powering prediction algorithms in the background to now having seemingly intelligent conversations, answering questions, or even creating art. AI is going to transform our lives in big ways. Shailesh Chitnis and Bharath Reddy talk about where India stands in AI innovation and how can we get better at it. Reading: Rebooting AI in India — The Takshashila Institution Check out Takshashila's courses: https://school.takshashila.org.in/ Do follow IVM Podcasts on social media. We are @IVMPodcasts on Facebook, Twitter, & Instagram. https://twitter.com/IVMPodcasts https://www.instagram.com/ivmpodcasts/?hl=en https://www.facebook.com/ivmpodcasts/ You can check out our website at https://shows.ivmpodcasts.com/featured Follow the show across platforms: Spotify, Google Podcasts, Apple Podcasts, JioSaavn, Gaana, Amazon Music Do share the word with your folks!See omnystudio.com/listener for privacy information.

Today's guest is Susan Conover, cofounder and CEO of Piction Health, which brings Image Recognition AI technology to the practice of dermatology. This Boston-based company has started to launch their product throughout New England. Susan talks to Max about how the technology could be used to help patience more effectively, and the challenges of bringing change to healthcare and being an entrepreneur. https://www.localmaxradio.com/269

I speak again with my friend, Maroof Farooq, an AI engineer at Nvidia. [Note: Maroof's views are his and not that of his employer.]  We discuss facial recognition, how it can be used for surveillance, and techniques for defeating or fooling it, using props like t-shirts, hats, glasses, and believe or not, makeup! Folks, use this information for only good and not to run from the law, unless the law is the Empire, and you are the Rebel Alliance. Please enjoy this episode. We laugh. We cry. We iterate.Check out what THE MACHINES and one human say about the Super Prompt podcast:“I'm afraid I can't do that.” — HAL9000“These are not the droids you are looking for." — Obi-Wan“Like tears in rain.” — Roy Batty“Hasta la vista baby.” — T1000"I'm sorry, but I do not have information after my last knowledge update in January 2022." — GPT3

NASA is going to try again with the Artemis I launch, part of the program to return humans to the Moon's surface. Microsoft faces potential resistance to its acquisition of Activision Blizzard among UK regulators. And Dungeons & Dragons sends a D20 to space. Kind of.See omnystudio.com/listener for privacy information.

AI Eye Podcast - GBT's ( $GTCH) CEO Discusses Apollo and AI in Image Recognition

AI Eye Podcast - GBT's ( $GTCH) CEO Discusses Apollo and AI in Image Recognition

Thanks to rapid analysis of satellite images and infrared data, it should be possible to issue warnings of looming environmental disasters more quickly in the future, allowing first responders to help well in advance.

Forest fires will become more common in the future. With the help of artificial intelligence, early detection of potential flash points will help emergency responders around the world to prevent fire disasters.

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2022.08.24.505107v1?rss=1 Authors: Bauza, M., Krstulovic, M., Krupic, J. Abstract: Spatial working memory and image recognition tests are commonly used to facilitate the diagnosis of hippocampal-related neurological disorders such as Alzheimers disease due to their relatively high specificity and sensitivity to damage to the medial temporal lobes compared to standard commonly used clinical tests. Pathological changes in Alzheimers disease start years before the formal diagnosis is made, partially due to testing too late. To address this challenge, we developed a novel digital platform, hAge (healthy Age), which integrates double spatial alternation, image recognition and visuospatial tasks for frequent remote unsupervised assessment of spatial and non-spatial working memory. 191 healthy adults (67% females, 18-81 years old) participated in the study. In line with findings using standard laboratory tests, we showed that performance on the spatial alternation task negatively correlated with inter-trial periods and performance levels on image recognition and visuospatial tasks can be controlled by varying image similarity. Importantly, we demonstrated that frequent engagement with the double spatial alternation task leads to a strong practice effect, previously identified as a potential measure of cognitive decline in MCI patients. Finally, we discuss how lifestyle and motivation confounds may present a serious challenge for cognitive assessment in real-world uncontrolled environments. Copy rights belong to original authors. Visit the link for more info Podcast created by PaperPlayer

 Watch out !!! Il arrive !!! le fameux Web 3.0 ou Web3… après les versions 1.0 et 2.0, le web devient décentralisé porté par la technologie blockchain (elle-même très bien expliqué dans un épisode précédent d'Inno I know), et dans lequel l'internaute va pouvoir bien sûr lire, écrire et produire du contenu, mais aussi reprendre la main sur ses données et expérimenter la tokenisation de sa vie.   En effet, avec les cryptomonnaies, des simples actions sociales sur le web, tels que des likes, etc. peuvent être source de rémunération…      Mais concrètement qu'est-ce que le métavers ? Et lesNFTs à quoi servent-elles vraiment et comment fonctionnent-elles ?   Quels sont les pays les plus avancés ? Aurons-nous tous deux vies distinctes, une réelle et une virtuelle ? L'une prendra t-elle le pas sur l'autre ?     Bref un grand chamboulement virtuel s'opère en ce moment avec ce Web3, la montée du Metavers, et des NFTs. Ce grand changement se traduit lui-même de façon très réelle, puisque nous voyons de nouveaux types de jobs émerger, tel que celui de notre invité Valentin Auvinet, Chief Metaverse Officer chez Decathlon.      Plongez-vous dans le sujet avec nos deux experts, Nicolas Diacono et Guillaume Rio qui passent au crible toutes ces nouvelles tendances sous l'éclairage pragmatique de Valentin Auvinet. Nos trois compères précisent également les impacts sur le monde de la distribution et sur le consommateur final dont la vie risque bien d'être assez bousculée dans les années à venir !  

When we think of artificial intelligence, we may link it to digital channels, but winning in physical retail is still the key to winning in the world of Consumer Goods. In this episode with the Co-Founder and CEO of Iniflect, Anand Prabhu Subramanian we'll talk about how Image Recognition and AI technology can empower sales leaders. With him, we explore how AI can help Consumer Goods Companies boost sales in-store. In this conversation, we cover: Post-Pandemic Changes in Retail Levers that contribute to a successful sale at a store Challenges faced in boosting sales performance in every store How FMCG Brands addressing inefficiencies in the store today The role AI technology is playing in complementing retail operations and retail businesses How FMCG stores will evolve in the future and what FMCG leaders need to do differently Key retail intelligence metrics How Sales Leaders can use insights to activate them in proactive business decisions

Ridhima Ahuja Kahn is the VP of Business Development at Dapper Labs. Her focus is helping build meaningful partnerships with the world's top IPs, creators, and social media platforms as they look to build blockchain-based experiences.Prior to Dapper Labs, she was a Partner at Andreessen Horowitz (a16z) where she focused on sports, social, media & entertainment, collectibles (both in digital & physical), hospitality/travel and food.She has also spent time on the investment teams at the Hewlett Foundation & Grovenor Capital Management.- Tell me about how you shifted into this role at Dapper Labs and was the inspiration behind TopShot birthed at Dapper or was your sports background the impetus to this idea?- What does fandom look like in metaverse ? What does TopShot and Cryptokitties experiences look like there? And do you think experiences are the magic of an NFT and your utility? What do experiences look like in the Metaverse?- Flow blockchain technology is unique to Dapper, reducing the friction of Web 2 native users and Web 3 adventurers, do you think this shift in creating your own blockchain has been part of the the secret sauce for Dapper Labs?- Digital Fashion will likely see a ton of growth due to the concept of wearables and shopping in the Metaverse: Luxury brands will soar to the top fast bc of virtue signaling and the marketing machine they are built on. Can Dapper help creators or smaller brands with NFTs for this use case?- Because we are also an education platform on Culture Factor, can you define DAO  and is Dapper getting involved in the DAO space?- And what would a brainstorming session at Dapper look like in terms of iterating on best use cases, verticals or simply coming up with experiences?Ridhima Ahuja Kahn of Dapper LabsHolly Shannon's WebsiteZero To Podcast on AmazonHolly Shannon, LinkedinHolly Shannon, InstagramHolly Shannon, Clubhousehttps://youtu.be/PKCND4FqGLc#dapper, #metaverse, #blockchain, #creators, #digital, #flow, #create, #labs, #web3, #community, #physical, fashion, #technology, #experience, #nft, #brands 

Vladislav Ginzburg is the Chief Executive Officer at Blockparty.Ginzburg leads Blockparty and the mission to build a blockchain-agnostic platform for collectible NFTs at the intersection of art, music and culture. Blockparty launched their MVP In August 2020 with a number of mainstream oriented drops, including first digital artworks by 3lau Slime Sunday, Adventure Club, Dave Krugman and others.Earlier, Ginzburg was Chief Business Development officer at Blockparty Tickets where he introduced blockchain as an NFT powered ticketing system to music festivals and professional sports teams, including a partnership with the Sacramento Kings of the NBA.Before entering the Blockchain and entertainment spaces, Ginzburg managed a fine art fund where he transacted more than $150 million in blue chip artworks. Ginzburg studied at Miami University in Oxford, Ohio as well as The New School in New York.Let's dig into your art background first, I believe it lays the groundwork for your interest in NFT related art and event?In the art world,  Vladislav Ginzburg has managed several high-value growth funds in the fine art industry where he has executed transactions for iconic canvas works by Pablo Picasso, Andy Warhol, Jean-Michele Basquiat, Salvador Dali, Pierre Auguste Renoir, and hundreds of others for clients., including placing works into museum exhibitions globallyWhat is your relationship with Warner Music and how will it compliment Blockparty goals for the artist?Opensea is the amazon for NFTs; it's the most common and most costly to mint because there's so many people on it. Rarible and a few others are less expensive. By having their own storefront on Blockparty (part Website, Etsy and Shopify?, Is this a solution to the two ends of the spectrum of Opensea and Rarible?Wants to dive into the live event aspect because of Lively partnership. Does Blockparty expect to be more of an event platform in the end? Or are they primarily a storefront/tools provider? What's the endgame?Ginzburg is the co-founder for Moonwalk. No code: there is code that sits behind the NFT. Moonwalk, being a no code platform, allows people who don't have developers in their back pocket to mint NFTs and play in the same arena as people who do have their own developers. Is Moonwalk going to eventually live on Blockparty?Are Ginzburg's platforms working toward democratizing crypto/NFTs for any and all?We are speaking on NFT.NYC in June!!Data to market yourself, your wallet, online habits, or curated social media look?Creators pushing for Blockparty to push further with them, innovating togetherEasy vs. creating smart contracts that work for the artists on the platformDali and Warhol experimented with digital art, NFT artists that were painters, sculptors and photographers using AR and image recognitionToken, receive it into your wallet, send it out of your wallet or stake it.look forward alpha: music NFTs will thrive with UGC (user generated content) selling viral content from fans taking and creating NFTs and sending to the viral TikTok artist.Vladislav Ginsburg on Twitter Holly Shannon's WebsiteZero To Podcast on AmazonHolly Shannon, LinkedinHolly Shannon, InstagramHolly Shannon, Clubhousehttps://youtu.be/PKCND4FqGLc#utility #creator #warner #brands #art #creativetechnologist #music #musician #spinnin'records #integrity #intention #purpose #impact #lockeddiscord #accesskeys #rightsownership #Fortnight #wearables #legacy #warnermusic #indieartist #fans #nfts #nft #nftart #cryptocurrency #blockchain #metaverse #culturefactor #web3 #smartcontracts #bitcoin #nftartist #nftcollectors #eth #ethereum #youtubers #tiktok #instagram #reels #branding #bitcoin #web3 #smartcontracts #bitcoin #nftartist #nftcollectors #community #decentralizedeconomy

Vladislav Ginzburg is the Chief Executive Officer at Blockparty.Ginzburg leads Blockparty and the mission to build a blockchain-agnostic platform for collectible NFTs at the intersection of art, music and culture. Blockparty launched their MVP In August 2020 with a number of mainstream oriented drops, including first digital artworks by 3lau Slime Sunday, Adventure Club, Dave Krugman and others.Earlier, Ginzburg was Chief Business Development officer at Blockparty Tickets where he introduced blockchain as an NFT powered ticketing system to music festivals and professional sports teams, including a partnership with the Sacramento Kings of the NBA.Before entering the Blockchain and entertainment spaces, Ginzburg managed a fine art fund where he transacted more than $150 million in blue chip artworks. Ginzburg studied at Miami University in Oxford, Ohio as well as The New School in New York.Let's dig into your art background first, I believe it lays the groundwork for your interest in NFT related art and event?In the art world,  Vladislav Ginzburg has managed several high-value growth funds in the fine art industry where he has executed transactions for iconic canvas works by Pablo Picasso, Andy Warhol, Jean-Michele Basquiat, Salvador Dali, Pierre Auguste Renoir, and hundreds of others for clients., including placing works into museum exhibitions globallyWhat is your relationship with Warner Music and how will it compliment Blockparty goals for the artist?Opensea is the amazon for NFTs; it's the most common and most costly to mint because there's so many people on it. Rarible and a few others are less expensive. By having their own storefront on Blockparty (part Website, Etsy and Shopify?, Is this a solution to the two ends of the spectrum of Opensea and Rarible?Wants to dive into the live event aspect because of Lively partnership. Does Blockparty expect to be more of an event platform in the end? Or are they primarily a storefront/tools provider? What's the endgame?Ginzburg is the co-founder for Moonwalk. No code: there is code that sits behind the NFT. Moonwalk, being a no code platform, allows people who don't have developers in their back pocket to mint NFTs and play in the same arena as people who do have their own developers. Is Moonwalk going to eventually live on Blockparty?Are Ginzburg's platforms working toward democratizing crypto/NFTs for any and all?We are speaking on NFT.NYC in June!!Data to market yourself, your wallet, online habits, or curated social media look?Creators pushing for Blockparty to push further with them, innovating togetherEasy vs. creating smart contracts that work for the artists on the platformDali and Warhol experimented with digital art, NFT artists that were painters, sculptors and photographers using AR and image recognitionToken, receive it into your wallet, send it out of your wallet or stake it.look forward alpha: music NFTs will thrive with UGC (user generated content) selling viral content from fans taking and creating NFTs and sending to the viral TikTok artist.Vladislav Ginsburg on Twitter Holly Shannon's WebsiteZero To Podcast on AmazonHolly Shannon, LinkedinHolly Shannon, InstagramHolly Shannon, Clubhousehttps://youtu.be/PKCND4FqGLc#blockparty #blue-chip #authenticity #prognosticator #wallstreet #artnet #database #creatorcollector #web2.5 #web2fatigue #nocode #massadoption #digitallynative #imagerecognition #nfts #nft #nftart #cryptocurrency #blockchain #metaverse #culturefactor #web3 #smartcontracts #bitcoin #nftartist #nftcollectors #eth #ethereum #youtubers #tiktok #instagram #reels #branding #bitcoin #web3 #smartcontracts #bitcoin #nftartist #nftcollectors #community #decentralizedeconomy

An airhacks.fm conversation with Dr. Zoran Sevarac (@zsevarac) about: DeepNetts is targeting Java developers, nice Java code with DeepNetts, DeepNeetts with two dependencies only, Image Recognition with Duke, the data augmentation for variation generation, DeepNetts supports all formats from java image IO, Convolutional Layer, max Pooling Layer, Fully Connected Layer, max pool layer reduces the dimension of a problem, convolutional layer is about pattern recognition, convolutional layer slides a square shape over an image to recognise a pattern, max pool layer is about downsizing, Fully Connected Layer are classifying the images, the output layers is uses a mathematical soft max function, output layer provides the prediction, the VisRec JSR-381 library, DeepNetts does not rely on the existence of GPU, Dr. Zoran Sevarac on twitter: @zsevarac and Zoran's deepnetts.com

In any discussion of artificial intelligence and machine learning today, artificial neural networks are bound to come up. What are artificial neural networks, how have they developed, and what are they poised to do in the future? Host Angelo Kastroulis dives into the history, compares them to biological systems that they are meant to mimic, and talks about how hard problems like this one need to be handled carefully.Angelo begins with a discussion of how biological neural networks help make our brain a powerful computer of complexity. He then talks about how artificial neural networks recruit the same structures and connections to create artificial intelligence. To understand what we mean by artificial intelligence, Angelo explains how the Turing Test works and how Turing's work forms a foundation for modern AI. He then discusses other early pioneers in this work, namely Frank Rosenblatt, who worked on models that could learn or “perceptrons.” Angelo then relates the history of how this work was criticized by Marvin Minsky and Seymour Papert and how mistakes in their own work put the potential advances of artificial neural networks back by about two decades.Using image recognition as a case study, Angelo ends the episode by talking about about various approaches' benefits and drawbacks to illustrate what we can do with artificial neural networks today.CitationsHebb, D.O. (1949). The organization of behavior: A neuropsychological theory. New York: Wiley.Minsky, M. (1954.) Theory of neural-analog reinforcement systems and its application to the brain-model problem. Doctoral dissertation. Princeton: Princeton University.Minsky, M. and Papert, S. (1969). Perceptrons: An introduction to computational geometry. Cambridge: MIT Press.Rosenblatt, F. (1957). "The perceptron: A perceiving and recognizing automaton.”Buffalo: Cornell Aeronautical Laboratory, Inc. (Accessible at https://blogs.umass.edu/brain-wars/files/2016/03/rosenblatt-1957.pdf)Rosenblatt, F. (1962). Principles of neurodynamics: Perceptrons and the theory of brain mechanisms. Washington, D.C.: Spartan Books_._Turing, A. (1950, October). "Computing machinery and intelligence," Mind, LIX: 236, pp. 433–460. https://doi.org/10.1093/mind/LIX.236.433  Further ReadingWarren McCollough and the McCollough-Pitts NeuronChurch-Turing ThesisTuring TestXOR or Exclusive orHost: Angelo KastroulisExecutive Producer: Kerri Patterson; Producer: Leslie Jennings Rowley; Communications Strategist: Albert Perrotta; Audio Engineer: Ryan ThompsonMusic: All Things Grow by Oliver Worth© 2021, Carrrera Group

Cyberpolitik #1: France’s Influence Operations Doctrine— Prateek WaghreIn October, France announced a new doctrine for Information Warfare. This development has received surprisingly little attention in English-language discourse over the last three weeks. It was initially reported by Francesco Busseletti, who highlighted: Objective: to counter the growing spread of fake news and disinformation, aimed at weakening the image of Paris and weakening its armed forces, especially abroad such as the Sahel. Considering that its adversaries no longer hesitate to use the weapon of social media against its military operations, France intends to “win the war before the war”. Its strategy boils down to “being on the offensive” …The Defence Minister Florence Parly’s speech also highlighted this aspect of the “war before the war”. Here’s an excerpt from a google-translated version of her speech.“When used wisely, the weapon of information allows you to win without fighting.”What does the doctrine say?The doctrine identifies six characteristics of the “informational layer of cyberspace”:Contraction of space and time.Ability to conceal/falsify origin due to anonymity.Difficulty with erasing information since it can be duplicated, moved, and re-used without the original context.Any individual can produce and broadcast information. (The minister’s speech seems to have gone as far as stating these individual and anonymous actors are at par with media organisations)The point is that social networks have an equalizing power: on Twitter, the voice of an anonymous user counts as much as that of a major media whose essential function is to inform (sic).Continuous innovation such as deepfakes, AI, AR/VR, etc.The presence of operators who impose their own regulations. A challenge for law enforcement as the space is ‘dematerialised.It defines two types of actors that threaten armed forces:Noting that information war is already an everyday reality for the military, it goes on to say that ‘mastery’ in the information field is now a pre-condition for ‘operational superiority’. And that cyberspace offers opportunities to create effects in ‘both information and physical environments’. The document is peppered with many important statements about Lutte Informatique D’influence (L2I).Definition:military operations conducted in the informational layer of cyberspace to detect, characterize and counter attacks, support StratCom, provide information or (perform) deception, independently or in combination with other operations.L2I stands at “the confluence of cyber defence and influence”. And that it requires skills in common with LID (defensive cyber operations) and LIO (offensive cyber operations).L2I offers opportunities for ‘intelligence gathering’ and ‘deception' operations’. (The minister’s speech defined some boundaries explicitly)the French armies will not conduct an information operation (within) the national territory. The French armies … will not destabilize a foreign state through information actions that would target, for example, its electoral processes.As future challenges, the doctrine identifies the need to build skills and tools, as well as cooperation with firms that specialise in the field and coalitions with allies to coordinate responses.Operationally, this would fall within the purview of the Chief of Staff of the armed forces, who would further rely on the Cyber Defense Commander (COMCYBER) and specialised military units.Two more questionsFor France to come out and explicitly state its doctrine is undoubtedly a significant step. But this also raises two broader questions.What should other democracies do?What will DCN operators do?Camille Francois rightly points out that it raises the question of what democracies can/should do in this space and the possibility of gaining a better understanding of techniques used by countries not named - Russia, China, or Iran.Thomas Rid, in his book Active Measures, argues that liberal democracies cannot be good at disinformation. “For liberal democracies in particular, disinformation represents a double threat: being at the receiving end of active measures will undermine democratic institutions—and giving in to the temptation to design and deploy them will have the same result. It is impossible to excel at disinformation and at democracy at the same time. The stronger and the more robust a democratic body politic, the more resistant to disinformation it will be—and the more reluctant to deploy and optimize disinformation. Weakened democracies, in turn, succumb more easily to the temptations of active measures.”Then, there’s the question of Digital Communication Networks which have become the battlefield for such operations. As Lukasz Olenik notes in his overview of the French doctrine, Facebook has taken action against Coordinated Inauthentic Behaviour it identified originating from a network with links to the French Military in December 2020:We found this activity as part of our internal investigation into suspected coordinated inauthentic behavior in Francophone Africa. Although the people behind it attempted to conceal their identities and coordination, our investigation found links to individuals associated with French military.Now that France has explicitly stated its doctrine (and maybe others will follow), will platforms act more aggressively, considering they are already under fire for either enabling or not doing enough to mitigate the fallout from influence operations? Or, will there be wink-wink-nudge-nudge arrangements between them and a particular set of states?Note: Google Translate was used for French to English translations.If you enjoy this newsletter please consider taking our 12 week Graduate Certificate Programmes in Technology & Policy, Public Policy, Defence & Foreign Affairs and Health & Life Sciences. Click here to apply and know more. You can also get a gift coupon worth ₹1000 every time you successfully refer a friend to our programmes.Siliconpolitik #1: AI Chips — Arjun GargeyasWhat are They?One of the emerging applications of semiconductor devices is the concept of Artificial Intelligence (AI) chips. With new and emerging technologies cropping up, there is an increased need for chipsets with increasing computational power and capabilities. Technologies like Machine Learning and Deep Neural Networks, which are part of the AI ecosystem, have a tremendous workload that cannot be fulfilled by traditional chipsets. AI algorithms work on parallel processing or parallelism, which is the ability to multitask and simultaneously run different computational processes. AI chips, in recent years, have tried to incorporate the needs of AI algorithms into chipsets that can be used both in the cloud as well as at network edges (in smartphones, tablets, and other consumer devices).The diverse applications of AI chips have increased its role in the global economy with companies from various industries all looking to maximise the benefits of AI chip technology. Robotics and autonomous driving, for example, need AI algorithms for efficient and effective working, with the computational power of the chipsets needing incredibly fast processing speeds. This has evolved the role of chipsets with AI capabilities from only being used in the cloud or servers to being used in consumer products at the network edges. However, applications such as Biometrics and Image Recognition need AI chips in the cloud or servers for maintaining a large amount of data. The use of AI chips remains integral in data centers which eventually reduces operational costs and improves information management. Why They MatterThe market for AI chips has consistently increased in the last decade with AI chipsets projected to account for 22% of the global AI revenue by 2022. A strong compounded annual growth rate of 54% has been projected for the AI chips market with technologically advanced regions like the Americas and Europe dominating the market in the future. AI chips also rely on a variety of companies, ranging from smartphone manufacturers like Apple, Samsung, and Huawei, to traditional chip designers like Qualcomm and MediaTek, to intellectual property (IP) license providers like ARM. With most of the major semiconductor companies across the world in the business, AI chips look to be the next big thing for the industry. Semiconductor companies have already thrown their hats in the AI ring with the development of advanced AI chips like Graphical Processing Units (GPUs). NVIDIA has a dedicated application programming language called CUDA used in parallel computing on GPUs. Other targeted AI chips like Field Programmable Gate Arrays (FPGAs) and Application Specific Integrated Circuits (ASICs) are developed for specific applications of AI technology. Companies like Microsoft and Google have also invested in the manufacture of these chipsets keeping in mind specific needs such as the speech processing unit of Google Assistant.With increasing global economic revenue and a large market ripe for capture, the presence of China in the AI chips has also been increasing. AI chip funding activity in China has been driven by the hope of creating industry-leading capabilities in machine learning, deep compression, pruning, and system-level optimization for neural networks. Chinese technology companies like Alibaba and Huawei have invested heavily in the manufacture of AI chips for smartphones and other devices. Some Bitcoin mining equipment manufacturers are also getting into the AI optimization game. With domestic AI research in China still playing catch up to the capabilities of Western countries like the United States, these local manufacturing companies have relied on tweaking existing algorithms to create modified AI models. But increased investments along with state support and financing, similar to the semiconductor industry in China, has made AI chips an important technology worth pursuing in technologically adept states. The race for the domination of the global AI chips markets is something to watch out for in the very near future. Cyberpolitik #2: Are Norms Possible?— Sapni G KSince the last edition of this newsletter, much has happened on cyberspace and international action for establishing norms for its operation and regulation. The United States of America joined the Paris Call for Trust and Security in the cyberspace. The 2018 Call led by the French, proposes a multi-stakeholder model for laying down norms for activity in cyberspace during peacetime. This includes, but is not limited to cybersecurity and the concerns of systemic harms to individuals and critical infrastructure. The Call details nine principles that are open for states, local governments, companies, and civil society organizations to support.  Protect individuals and infrastructureProtect the internet Defend electoral processes Defend intellectual propertyNon-proliferation Lifecycle security Cyber hygiene No private hack back International norms They incorporate norms of international law, including the ideas put forth by the UDHR, customary international law, and state laws on the governance of information and communication technologies. This operates as a non-binding, non-enforceable set of principles that are to guide the supporters of the Call and their actions. Most major US tech companies including Microsoft, Google, Facebook Inc (now Meta) are already supporters of the Call and have engaged closely with the various associated working groups. However, the US officially supporting the Call signals that it is no longer holding back in international norm-setting in cyberspace. This could also be read as a furtherance of the USA’s reinvigorated interest in cyber norms, both in peacetime and military applications, as evidenced by recent documents such as the 2021 Interim National Security Strategic Guidance and the recent report by the Department of Defense. However, it is noteworthy that the US has not yet made any concrete steps to sign up to the Global Commission on the Stability of Cyberspace, an effort led by research institutes in the Netherlands and Singapore with the support of the French, Dutch, and Singapore governments,  which is also engaged in drawing out international norms for cyberspace during peacetime and armed conflict. China, Russia, Israel, and Iran are other major actors in cyberspace that have not supported the call yet. This is indicative of the fissures in international norm-setting on cyberspace, particularly when China is marching ahead creating a regulatory environment that can have ripple effects internationally. India has not officially supported the Call, but several Indian enterprises and the Karnataka Centre of Excellence of Cybersecurity have joined the Call. It is a proposal worth consideration for the Indian government. An early head start can give India a definitive say in the development of doctrines as well as import legislative principles that can be beneficial to the many millions of Indians who go online every day.  Siliconpolitik #2: US-China-Chips — It’s Complicated— Pranay KotasthaneThree recent news reports have turned the world's attention back to the links between the US and China in the semiconductor domain. Until now, the commonplace understanding is that the US is focused on constraining China's progress in the semiconductor domain, a weak link in China's otherwise impressive technology stack. These news reports contest this narrative by suggesting the constraints don't seem to be working, as many US investors and firms are still flocking to China.WSJ reports that between 2017 and 2020, many US companies, including Intel, have invested in Chinese design companies. The number of deals (58) has more than doubled when compared to the 2013-2016 period.Bloomberg reports Intel wanted to start a manufacturing plant in Chengdu, but the White House officials discouraged it.These reports come on the heels of another big claim in mid-October, when Alibaba unveiled a 5nm server chip, making many heads turn. This news seemed to indicate that China's pursuit of semiconductor self-sufficiency is bearing fruit despite the geopolitical headwinds.Connecting the DotsIntel seems to be interested in China a lot. While the WSJ report showed that Intel is among the active investors in a Chinese Electronic Design Automation (EDA) firm, the Bloomberg report points out that Intel also wants to build a fab in Chengdu. It’s notable that both these stages of the semiconductor value chain are precisely where the US had planned to restrict Chinese access during the Trump administration. Reportedly, the US NSA Jake Sullivan and a few senators, want to change the investment screening methods to prevent such deals in the future.Why are US companies still rushing to China?The supply side: The Chinese government's incentives are 'crowding in' investments from Chinese firms and global semiconductor players alike.The demand side: A significant number of customers of chip makers are based in China - laptop manufacturers, phone manufacturers, servers etc. Companies still want a piece of that pie because homegrown alternatives in China are not enough, yet. It's a mouth-watering market, still.My initial assessmentThe number of investment deals between 2017-20 (58) doesn't sound that big in the overall scheme of things. They also mostly appear to be in chip design firms. What this does suggest is like many industrial policies, there is a crowding-in of capital. When a player the size of the Chinese government throws big money at a problem (starting the Chip Fund in 2014), this is expected to happen. There will be national champions and duds, both. The question really is, how long such subsidies can be sustained.The time period 2017-2020 suggests that the US companies rushed into China before the Trump administration tightened the export controls.Intel's investment in a Chinese EDA firm and a possible fab is indeed worrying. Although, the tone of the Chengdu fab proposal suggests it is more a tactic to get the CHIPS Act passed in the US, which will guarantee big subsidies for the likes of Intel back home. The report had no numbers, or plans, just a few unnamed sources.The demand side question is an important one. As long as China remains the hub for electronics Original Equipment Manufacturers (OEMs), chip makers will find it attractive to sell their products to China. Solving this will require a plurilateral effort to move electronics manufacturing -- and not leading-edge chip manufacturing alone -- out of China.Finally, the Alibaba server chip news report has many unknowns. Unveiling a chip is different from being able to produce it. Manufacturing at 5nm is not possible in China. They must rely on TSMC (and now Samsung) for this purpose. Moreover, the processor IP is still ARM, something that Alibaba hasn't been able to displace.The reportage of the kind WSJ, Bloomberg is putting out is indicative of the change in mindset in the US. A few years ago, no one would have even cared about such investments. These are front-page news items now.I expect some more export controls and more subsidies from the US government, both.Our Reading Menu1. [Full Text] of the Paris Call for Trust and Security in the cyberspace2. [Full Text] 2021 Interim National Security Strategic Guidance of the White house 3. [Policy Study] Principles for Content Policy and Governance by Chris Riley, R Street 4. [Article] by Oleg Shakirov discussing the US-Russia rapprochement on Information and Cyber Security5. [Blog] by Oleg Shakirov explaining why US-Russia cooperation on countering Ransomware threats makes sense This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit hightechir.substack.com

Sai goes in depth about Resnet , The Residulal block , Identity function and much more.

ZENKEI AI ポッドキャスト、シーズン１１は２０２０年１１月２５日に開催した ZOOMライブの模様です。(YouTube) この日のテーマは「実践」で、発表は市來と古川さんです。 エピソード５は市來の「最近の話題から」の前半、Vision Transformer の実践です。 arxiv: 2020.11929 "An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale" 当日の発表資料

La Food Tech pourrait permettre de nourrir toute la population et de meilleure manière dans le futur ! Mais d'ailleurs, c'est quoi la Food Tech ? Elle peut comprendre plusieurs services, de livraison avec Deliveroo, contre le gaspillage alimentaire avec Too Good To Go , mais aussi une autre catégorie qu'est la Food Science, c'est à dire comment recréer à partir de la biologie la nourriture de demain, repenser l'alimentation qu'elle soit par de la culture cellulaire, des insectes et autres. Comment utiliser les plantes comme sources de protéines et de nutrition pour reconstituer certaines catégories alimentaires ? (plant based) Comment recréer un morceau de poisson ou de viande à partir de cellules ? Comment utiliser la fermentation, c'est à dire des microbes pour produire des protéines ou de la biomasse riche en nutrition ? Comment utiliser les insectes en termes d'alimentation ? Aurons nous une alimentation personnalisée basée sur notre ADN ? Pour en savoir plus, Guillaume Rio et Nicolas Diacono ont le plaisir de recevoir Céline Schiff-Deb, Vice-Présidente de l'innovation Produits chez Calysta , une société de biotechnologie qui développe et commercialise des protéines alternatives pour apporter des solutions nutritionnelles à une population grandissante. Leur premier produit, FeedKind ®, est fabriqué en fermentant du gaz naturel, une source d'énergie abondante. Le procédé utilise très peu d'eau et pas de terres agricoles pour créer une protéine sûre, nutritive, traçable et abordable. 

Les deep fakes ? Ils font partie des médias de synthèse, ces créations de contenus grâce à l'intelligence artificielle. C'est le fait de pouvoir changer la voix, changer de visage, ou même le mouvement d'un corps grâce à la puissance des algorithmes, et donc des ordinateurs. Ce phénomène est florissant… notamment sur les réseaux sociaux ! Ce sujet n'a jamais été autant d'actualité et suscite autant d'enthousiasme que de crainte. Le phénomène est d'autant plus difficile à appréhender, tant la frontière entre le vrai et le faux est flou, touchant si bien les hommes politiques, les artistes que nos citoyens… Pour en savoir plus, nos experts, Guillaume Rio et Nicolas Diacono, reçoivent Yanis, plus connu sous le nom de French Faker. Il est Deep Fake Artist en charge de l'émission C'est Canteloup sur TF1. 

In this episode, Andrew from 345 talks with Dirk Huibers from Spotr.ai about image recognition and AI.

Product Placement Is Key To Sales And Profit in Supermarkets and grocery stores..Every aisle of a supermarket has 100s of different brands of products,  all vying for your attention and aiming to ultimately end up in your shopping cart. Getting your product into a new store is hard enough on its own. How do you measure your product availability, inventory levels, product placement or even know what your competition is doing in a store that you do not own? This data is hugely important for CPG (Consumer Packaged Goods) companies, but has been largely unavailable before. Our guest today on THC, is aiming to solve this problem with cutting edge image recognition tech!Today, we have Erik Chelstad, Co-founder and CTO of Observa, a technology company that helps CPG brands understand their customers better through sophisticated data gathering at the brick and mortar stores, using AI to collect data from the pictures, and delivering rich insights to the brand owners.Their image recognition technology can increase sales force productivity, improve shelf condition insights and help drive incremental salesSupport the show (https://thingshavechanged.substack.com/)

Yannic Kilcher is PhD candidate at ETH Zurich researching deep learning, structured learning, and optimization for large and high-dimensional data. He produces videos on his enormously popular Youtube channel breaking down recent ML papers. Follow Yannic on Twitter: https://twitter.com/ykilcher (https://twitter.com/ykilcher) Check out Yannic's excellent Youtube channel: https://www.youtube.com/channel/UCZHmQk67mSJgfCCTn7xBfew (https://www.youtube.com/channel/UCZHmQk67mSJgfCCTn7xBfew) Listen to the ML Street Talk podcast: https://podcasts.apple.com/us/podcast/machine-learning-street-talk/id1510472996 (https://podcasts.apple.com/us/podcast/machine-learning-street-talk/id1510472996) Every Thursday I send out the most useful things I've learned, curated specifically for the busy machine learning engineer. Sign up here: http://bitly.com/mle-newsletter (http://bitly.com/mle-newsletter) Follow Charlie on Twitter: https://twitter.com/CharlieYouAI (https://twitter.com/CharlieYouAI) Subscribe to ML Engineered: https://mlengineered.com/listen (https://mlengineered.com/listen) Comments? Questions? Submit them here: http://bit.ly/mle-survey (http://bit.ly/mle-survey) Take the Giving What We Can Pledge: https://www.givingwhatwecan.org/ (https://www.givingwhatwecan.org/) Timestamps: 02:40 Yannic Kilcher 07:05 Research for his PhD thesis and plans for the future 12:05 How he produces videos for his enormously popular Youtube channel 21:50 Yannic's research process: choosing what to read and how he reads for understanding 27:30 Why ML conference peer review is broken and what a better solution looks like 45:20 On the field's obsession with state of the art 48:30 Is deep learning is the future of AI? Is attention all you need? 56:10 Is AI overhyped right now? 01:01:00 Community Questions 01:13:30 Yannic flips the script and asks me about what I do 01:25:30 Rapid fire questions Links: https://www.youtube.com/channel/UCZHmQk67mSJgfCCTn7xBfew (Yannic's amazing Youtube Channel) https://www.notion.so/Yannic-Kilcher-e93c81f81100464399e173867815e380 (Yannic's Google Scholar) https://discord.gg/4H8xxDF (Yannic's Community Discord Channel) On the Measure of Intelligence: https://arxiv.org/abs/1911.01547 (arXiv paper) and https://www.youtube.com/watch?v=3_qGrmD6iQY (Yannic's video series) https://www.youtube.com/watch?v=Uumd2zOOz60 (How I Read a Paper: Facebook's DETR (Video Tutorial)) https://www.youtube.com/watch?v=TrdevFK_am4 (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (Paper Explained)) https://fs.blog/2014/09/peter-thiel-zero-to-one/ (Zero to One) https://www.penguin.co.uk/books/104/1049544/the-gulag-archipelago/9781784871512.html (The Gulag Archipelago)

How are differential equations related to neural networks? What are the benefits of re-thinking neural network as a differential equation engine? In this episode we explain all this and we provide some material that is worth learning. Enjoy the show!   Residual Block     References [1] K. He, et al., “Deep Residual Learning for Image Recognition”, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 770-778, 2016 [2] S. Hochreiter, et al., “Long short-term memory”, Neural Computation 9(8), pages 1735-1780, 1997. [3] Q. Liao, et al.,”Bridging the gaps between residual learning, recurrent neural networks and visual cortex”, arXiv preprint, arXiv:1604.03640, 2016. [4] Y. Lu, et al., “Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equation”, Proceedings of the 35th International Conference on Machine Learning (ICML), Stockholm, Sweden, 2018. [5] T. Q. Chen, et al., ” Neural Ordinary Differential Equations”, Advances in Neural Information Processing Systems 31, pages 6571-6583}, 2018

Steve Hornyak / Trax Image Recognition Steve Hornyak is the CEO, Americas at Trax Image Recognition. Steve is responsible for Trax's strategy, sales, marketing, business development, and customer success (project management, professional services and support) for North and South America. Steve has over 27 years of global software and technology experience with a focus in […] The post Steve Hornyak and Terrell Tuten of Trax Image Recognition appeared first on Business RadioX ®.

with Fei-Fei Li (@drfeifei), Frank Chen (@withfries2), and Sonal Chokshi (@smc90) Who has the advantage in artificial intelligence — big companies, startups, or academia? Perhaps all three, especially as they work together when it comes to fields like this. One thing is clear though: A.I. and deep learning is where it's at. And that's why this year's newly anointed Andreessen Horowitz Distinguished Visiting Professor of Computer Science is Fei-Fei Li [who publishes under Li Fei-Fei], associate professor at Stanford University. Bridging entrepreneurs across academia and industry, we began the a16z Professor-in-Residence program just a couple years ago (most recently with Dan Boneh and beginning with Vijay Pande). Li is the Director of the Stanford Vision Lab, which focuses on connecting computer vision and human vision; is the Director of the Stanford Artificial Intelligence Lab (SAIL), which was founded in the early 1960s; and directs the new SAIL-Toyota Center for AI Research, which brings together researchers in visual computing, machine learning, robotics, human-computer interactions, intelligent systems, decision making, natural language processing, dynamic modeling, and design to develop “human-centered artificial intelligence” for intelligent vehicles. Li also co-created ImageNet, which forms the basis of the Large Scale Visual Recognition Challenge (ILSVRC) that continually demonstrates drastic advances in machine vision accuracy. So why now for A.I.? Is deep learning “it”… or what comes next? And what happens as A.I. moves from what Li calls its “in vitro phase” to its “in vivo phase”? Beyond ethical considerations — or celebrating only “geekiness” and “nerdiness” — Li argues we need to inject a stronger humanistic thinking element to design and develop algorithms and A.I. that can co-habitate with people and in social (including crowded) spaces. All this and more on this episode of the a16z Podcast.