Podcasts about ai algorithms

Guest: Jason Deese, CEO of Flash Weather AIWeather forecasting has always been a mix of art and science, relying on tools like the Euro and GFS models to predict everything from tomorrow's sunshine to next week's storms. But now, artificial intelligence is reshaping the field, offering faster and more precise insights than ever before. Today on Weather Geeks, we're exploring Flash Weather AI, a cutting-edge tool designed to revolutionize how we predict and prepare for the weather. How does it compare to the traditional models we've trusted for decades? And what could it mean for the future of meteorology? We're excited to welcome Jason Deese, the creator of Flash Weather AI, to discuss this game-changing technology.Chapters00:00 Revolutionizing Weather Forecasting with AI13:42 The Future of Flash Weather AI23:27 Real-World Applications and Success Stories35:34 Overcoming Challenges and Looking AheadSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this podcast episode recorded at ISE 2025 in Barcelona, host Walt Zerbe and a diverse panel of experts discuss the latest trends in audio technology and smart home integration. They explore the convergence of software and hardware, the role of AI in enhancing user experiences, and the ethical implications of data collection. We emphasize the importance of standards for interoperability, the impact of lighting on health, and the growing market for high-quality, aesthetically pleasing audio solutions. The episode concludes with a call to embrace technological advancements to improve quality of life.   Here are the mentions with timestamps arranged by topic: Tools and Technologies "Nest Thermostat": "00:04:16" "Ecobee": "00:12:38" "AI Algorithms for Lighting Control": "00:19:32" Concepts and Terms "Surveillance Economy": "00:03:26" "AI in Smart Homes": "00:07:07" "Lighting and Health": "00:16:54" "Smart Home Technology": "00:20:30" Notable People "Tony Fadell": "00:04:16" "LaDonna Erickson": "00:16:54" "Andy Bull": "00:16:54" "Bruce Clark": "00:16:54" "Peter Diamandis": "00:22:01" General Observations "Audio Technology": "00:10:11" Videos and Talks "Stage Talks on YouTube": "00:18:22" "YouTube Video": "00:27:02" Links "CEDIA (Custom Design and Installation Association)": "00:28:12"

We have a special expert guest this week with William Caicedo, Vista Group's Global Head of Data Science and Analytics, joining us to talk all things AI, Algorithms, and Machine Learning in the cinema industry. We dive into the history and future of AI throughout the cinema industry, as well as tackling the latest box office and audience analysis for this week's big releases on Behind the Screens. Topics and times: Moviepass news - 0:17 Speak No Evil box office overview - 2:37 Speak No Evil audience analysis - 3:20 Am I Racist? box office overview - 6:20 Am I Racist? audience analysis - 7:23 Box office roundup - 9:40 AI, Machine Learning, and Data Science with William Caicedo - 10:52 Transformers One pre-sales - 35:18 Next week - 36:26 Find us at https://www.linkedin.com/company/vista-group-limited/, and follow lifeatvistagroup on Instagram Box Office Overview: Beetlejuice Beetlejuice remained at the number 1 spot, with $55M domestically, and $80.3M worldwide for the weekend, making for a $265M global cumulative total. Speak No Evil grossed $11.5M domestically and $9.3M internationally for a global opening weekend of $20.8M. Deadpool & Wolverine in its eighth week took 3d position with $5.2M domestically, and crossed $1.3B worldwide. Am I Racist? opened to $4.8M domestically to its target audience.

David Fajgenbaum was in his third year of medical school when he was diagnosed with a rare and life-threatening disease that began shutting down his organs, bringing him perilously close to death. Although he survived the initial episode, he faced four additional relapses, each pushing him to the brink of death. In this episode, we speak with David about his relentless journey to discover the treatment that ultimately put his disease into remission. We also explore how his personal battle inspired the creation of a groundbreaking approach to help others suffering from rare diseases.Follow us on LinkedIn, X, Facebook and Instagram. Visit us at https://www.bio.org/

Paul shares the latest medicare news including how some insurance companies are employing AI when it comes to claims.

Lindsay Liu, Co-founder and CEO of Super, discusses the challenges property managers face with busy work and inefficient communication. Property managers spend a significant amount of time on tasks like email and phone calls, which can be automated and streamlined. Super aims to centralize communications and automate tasks for property managers, allowing them to focus on more important work. The use of AI in property management can boost productivity and provide scalable assistance to property managers. However, it's important for companies to prioritize data security and privacy and be aware of potential biases in AI algorithms. Embracing technology and change will be crucial for property management companies to succeed in the future.More about Lindsay and SuperProperty managers are inundated with more and more text messages, emails, calls, and work orders. With Super, they get an AI assistant that centralizes all of these communications into one hub that then automates triage and tracking, saving 6+ hours of weekly manual and repetitive work.Lindsay Liu has turned a passion for real estate from a side hustle into an industry she seeks to transform. For over a decade while working in tech, she managed multifamily rentals, vacation rentals, and flips—including three stints on HOA boards. Now, she's one of the founders and CEO of Super, a company transforming the industry through AI-powered tools for property managers.Connect with Lindsay on LinkedInFollow Lindsay on TwitterFollow Super on TwitterCheck out Super

Today we are posting an interview with Andy Crouch. Andy is partner for theology and culture at Praxis, a venture-building ecosystem advancing redemptive entrepreneurship. His writing explores faith, culture, and the image of God in the domains of technology, power, leadership, and the arts. He is the author of five books, including most recently The Life We're Looking For: Reclaiming Relationship in a Technological World. For more parenting resources, go to axis.org 

Gentry shares his insights on how influencers shape public opinion, the impact of memes in the conservative movement, and the potential dangers and benefits of AI. He talks free speech, the manipulation of algorithms, and the importance of meaningful dialogue in a polarized society. Check out the STACK for links from each show here: http://JustinBarclay.comGet up to $10,000 in free silver with qualified accounts from my new partners at Goldco!Go to http://JustinLikesGold.com to get a free 2024 Gold Kit or call 855.512.GOLD (4653)#goldopartnerTry Cue Streaming for just $2 / day and help support the good guys https://justinbarclay.com/cueUp to 80% OFF! Use promo code JUSTIN http://MyPillow.com/JustinPatriots are making the Switch! What if we could start voting with our dollars too? http://SwitchWithJustin.comGrab gear in Justin's store http://JustinBarclay.com/storeNo matter what's coming, you can be ready for your family and others. http://PrepareWithJustin.com#ad

(3:40) - The Secret to Super-Fast Robot Vision This episode was brought to you by Murata, the market leader in leading-edge electronics components. Click HERE to learn more about Murata's contributions to the future of autonomous vehicles.   Become a founding reader of our newsletter: read.thenextbyte.com As always, you can find these and other interesting & impactful engineering articles on Wevolver.com.

Last week the founder of the dating app Bumble forecasted a near future dating landscape where AI ‘dating concierges' filter out prospective partners for us. But does AI, or even science, really understand what makes two people compatible? Madeleine Finlay speaks to Amie Gordon, assistant professor of psychology at the University of Michigan, to find out what we know about why two people go the distance, and why she's designing her own dating app to learn more.. Help support our independent journalism at theguardian.com/sciencepod

ChatGPT developer OpenAI says that artists and other content owners will be able to request that their work be excluded from use in AI development. Many details of the scheme remain unclear. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Big Data, AI, + Psychographics – How Amazon, Google & Other Big Tech Keep You on Their Platform Revisited w/ Manu Aggarwal - AZ TRT S05 EP13 (228) 3-31-2024   What We Learned This Week: Netflix, FB, Amazon, Microsoft, Apple, Google/YT – Tech co's track all your data, create your profile and serve you what you like and connect you with others of the same interest and feed more interesting data. AI uses a Recommendation Model – you bought this, so you'll like this. This model is 100x smarter now than years ago (getting smarter) and goes deep down the data mine Psychological Tricks by software try to keep you on the platforms through notifications, messages, emails, and more tracking     Guests: Manuj Aggarwal https://manujaggarwal.com/   https://www.TetraNoodle.com     Manuj joins BRT to talk about engineering Big Data and AI for growth, to give us actionable insights from data, cyberspace, cloud adoption, on customer analytics & psychographics. So much of tech is inter-connected from AI to The Cloud to data analytics to solution architecture, and design in Software Manuj is a 20 year tech consultant with an extensive background in software and AI. His resume is vast, consulting, tech, software, patents, author, courses, and more. Manuj is originally from India of humble means, worked thru the Dotcom Bubble (lost his job), and now runs his own company, Tetranoodle with a office in Canada. The clients list is a who's who of tech, including Microsoft, IBM, and ING. His company has grown from 5 employees to nearly 30 in the last 2 years. You can also listen to his podcast – Bootstrapping Your Dreams, and a YT channel with business advice. Cloud Computing to process data has changed the game on Data. We don't need huge computer anymore. Moore's law has shown that computers get faster, while costs come down. CPU Processors are very fast and use 1 computer vs. many computers in a room in past.   Algorithms of today have gotten smarter, doing things that could not be done 20 years ago. AI/Algorithms are always improving, learning, they try, then fail, and learns more. It gets faster, and better. This model is 100x smarter now than years ago, and goes deep on data mining. Netflix, FB, Amazon, Microsoft, Apple, Google/YT – Tech company's track all your data, create your profile and serve you what you like and connect you with others of the same interest. Then they feed more interesting data. This is done thru their Recommendation Model – ‘you bought this, so you'll like this'. The power of the FB lookalike audience – take 500 people on your list, and can match 1000 characteristics of 2 billion FB users. Tech uses Psychological tricks to try to keep you on the platform through notifications, messages, emails, and more tracking. Per Manuj, the news over-blows the big tech data topic. We all use FB, Google and other tech sites for free. The price is your data. This data is being organized to enhance your experience and help you. Privacy – people usually do not comprehend how data privacy really works and constant trade off to use this technology. Manuj is working on projects to use AI to bring people together – tech can help bring people closer and get new opportunities. People adapt to tech and new jobs – future of work.         Tech Topic: https://brt-show.libsyn.com/category/Tech-Startup-VC-Cybersecurity-Energy-Science   Best of Tech: https://brt-show.libsyn.com/size/5/?search=best+of+tech     Investing Topic: https://brt-show.libsyn.com/category/Investing-Stocks-Bonds-Retirement     ‘Best Of' Topic: https://brt-show.libsyn.com/category/Best+of+BRT     Thanks for Listening. Please Subscribe to the BRT Podcast.     AZ Tech Roundtable 2.0 with Matt Battaglia The show where Entrepreneurs, Top Executives, Founders, and Investors come to share insights about the future of business.  AZ TRT 2.0 looks at the new trends in business, & how classic industries are evolving.  Common Topics Discussed: Startups, Founders, Funds & Venture Capital, Business, Entrepreneurship, Biotech, Blockchain / Crypto, Executive Comp, Investing, Stocks, Real Estate + Alternative Investments, and more…    AZ TRT Podcast Home Page: http://aztrtshow.com/ ‘Best Of' AZ TRT Podcast: Click Here Podcast on Google: Click Here Podcast on Spotify: Click Here                    More Info: https://www.economicknight.com/azpodcast/ KFNX Info: https://1100kfnx.com/weekend-featured-shows/   Disclaimer: The views and opinions expressed in this program are those of the Hosts, Guests and Speakers, and do not necessarily reflect the views or positions of any entities they represent (or affiliates, members, managers, employees or partners), or any Station, Podcast Platform, Website or Social Media that this show may air on. All information provided is for educational and entertainment purposes. Nothing said on this program should be considered advice or recommendations in: business, legal, real estate, crypto, tax accounting, investment, etc. Always seek the advice of a professional in all business ventures, including but not limited to: investments, tax, loans, legal, accounting, real estate, crypto, contracts, sales, marketing, other business arrangements, etc.

Scientists from the Institute of Nuclear Physics of the Polish Academy of Sciences (IFJ PAN) have proposed using artificial intelligence (AI) algorithms to reconstruct particle tracks in high-energy physics experiments. The researchers have developed a deep neural network that was trained using simulated particle collisions and was able to accurately reconstruct particle tracks. They suggest that the first experiment where the AI algorithms could be utilized is the MUon ON Electron elastic scattering experiment, which aims to improve the precision of certain physical parameters. If successful, this could mark a new era in particle detection techniques and enhance our understanding of fundamental particles. --- Send in a voice message: https://podcasters.spotify.com/pod/show/tonyphoang/message

Thinking in Algorithms: How to Combine Computer Analysis and Human Creativity for Better Problem-Solving and Decision-Making (Strategic Thinking Skills Book 2) By: Albert Rutherford00:01:41 The Truth About Our Gut00:04:52 Our Brains in Efficiency Mode00:20:40 Machina Sapiens00:25:08 AI Algorithms and AdvertisingHear ir Here - https://bit.ly/ThinkingInAlgorithmshttps://www.amazon.com/dp/B09FH2JGXWThink creatively like a human. Analyze and solve problems efficiently like a computer.Our everyday lives are filled with inefficient and ineffective decisions and solutions. Being overwhelmed by the magnitude of our problems makes it hard to think clearly. We procrastinate and overthink. Our thoughts are tainted with biases. If only there was a way to simplify our decision-making and problem-solving process and get satisfying, consistent results!The good news is, there is!Apply computer algorithms to your everyday problems.Learn what algorithms are and use them for better decision-making, problem-solving, and staying on track with your plans. Become more productive, organized, finish what you start, and make better decisions.If you feel that you're not living up to your potential, struggle with being consistent about your habits, and would like to make quicker and better decisions, this book is for you!Get things started immediately and finish them within your deadline.Thinking in Algorithms presents research and scientific studies on behavioral economics, cognitive science, and neuropsychology about what constitutes a great decision, what are and how to manage its roadblocks. This is an interdisciplinary work that will help you learn how to apply computer algorithm-based solutions to your life challenges.Know when to stop. Be efficient with your time and energy.Albert Rutherford is an internationally bestselling author whose writing derives from various sources, such as research, coaching, academic and real-life experience.Machine learning principles for the laymen.- Learn to build your own problem-solving algorithms using a unique formula.- The science of optimal stopping.- How to overcome procrastination and overthinking using algorithms.- Design a schedule to meet your deadlines and maximize efficiency.Help your emotional, biased brain to make more rational and predictable decisions and follow through plans using algorithm-based problem-solving today!#AI #AIAlgorithms #Algorithm #AnchoringEffect #DanAriely #EfficiencyMode #HerdMentality #Imprinting #KonradLorenz #Lorenz #MachineLearningAlgorithms #MichaelPlatt #Platt #PredictablyIrrational #RussellNewton #NewtonMG #ThinkinginAlgorithms #AlbertRutherford

   Join the conversation with Lieutenant Colonel Dr. Jeanne Krick, as she brings the weighty world of medical ethics into focus, sharing her journey from Neonatology to being the Army Surgeon General's consultant for Medical Ethics. Our discussion orbits the moral quandaries that surface in military medicine, dissecting the intricate balance between patient autonomy and the rigors of military policy and regulations. Dr. Krick provides a riveting narrative on the daily impact of ethical decision-making and the burgeoning field of bioethics.  Join us for a candid discussion about what it takes to make life-and-death decisions when duty, honor, and humanity intersect.    As we unpack the layers of Dr. Krick's expertise, the fabric of military medical ethics is revealed in its full complexity. The establishment and significance of ethics committees take center stage, as we navigate through complex scenarios where commanders and medical professionals must align on treatment decisions for service members. Dr. Krick's role in shaping policies at a non-deployed level juxtaposes the high-stakes ethical calls required in active war zones, sparking a conversation on the critical need for robust ethical guidelines and training.     The forecast for military medical ethics is a combination of change, challenges, and innovation as we look to the horizon where artificial intelligence and human enhancement technologies promise to redefine the boundaries of healthcare. Dr. Krick's insights on the ethical dimensions of AI in medicine, the military's stance on pandemic responses, and the intricacies of cultural sensitivity within patient confidentiality offer a guide for navigating these uncharted waters. Her perspective underscores the importance of early ethicist involvement in policy-making and the role of shared decision-making in aligning medical actions with patients' values.  For medical professionals, ethicists, or anyone intrigued by the moral challenges of healthcare, this episode is an indispensable look into the courageous work of those who serve in medicine's toughest arenas.   Chapters: (00:00) Exploring Medical Ethics and Consultations (10:21) Military Medical Ethics and Committees (18:23) Ethics in Healthcare and Deployed Settings (30:28) Cultural Differences and Patient Confidentiality (36:19) AI Impact on Medical Ethics (44:54) Medical Ethics and Decision-Making Challenges (50:03) Future of Military Medical Ethics   Chapter Summaries: (00:00) Exploring Medical Ethics and Consultations Dr. Jeanne Krick discusses the impact of her bioethics training and education on her problem-solving approach in military medicine and the evolving horizon of medical ethics. (10:21) Military Medical Ethics and Committees Military medical ethics, diverse committees, and educational opportunities for ethical training within the military healthcare system. (18:23) Ethics in Healthcare and Deployed Settings Patient-centered care, organizational ethics, resource allocation, and treatment of enemy combatants in deployed environments. (30:28) Cultural Differences and Patient Confidentiality Cultural differences in medical ethics, patient autonomy, confidentiality, and military readiness are discussed with real-life scenarios. (36:19) AI Impact on Medical Ethics Ethical considerations in AI healthcare, human enhancement in the military, and balancing autonomy and mission readiness during pandemics. (44:54) Medical Ethics and Decision-Making Challenges Equipping medical students with ethical tools, understanding principles and care, reconciling legal constraints, and debating neonatology. (50:03) Future of Military Medical Ethics Future of medical ethics in military medicine, involving ethicists in policy-making, rapid decision-making in emergencies, and balancing guidance with patient wishes. Take Home Messages: Medical ethics in the military setting require balancing individual autonomy with military protocol, highlighting the unique ethical challenges faced by military medical professionals. The journey from neonatology to a consultant for the Army Surgeon General underscores the importance of interdisciplinary backgrounds and analytical thinking in navigating complex ethical decisions in military medicine. The role of ethics committees in military medical treatment facilities is critical, offering diverse perspectives and aiding in difficult decision-making processes when commanders and medics must align on service member treatment. Ethical training and guidelines are essential for military healthcare providers, particularly in deployed settings where high-pressure situations demand rapid and morally sound decision-making. Cultural sensitivity and confidentiality issues present unique ethical dilemmas in military medicine, necessitating careful consideration of cultural relativism and the intent behind sharing medical information within the command structure. The advent of artificial intelligence and human enhancement technologies in healthcare brings forth new ethical dimensions that require transparency and the involvement of ethicists to ensure moral foundations are integrated. The COVID-19 pandemic has highlighted the need for robust ethical frameworks in military medicine, particularly regarding vaccinations and individual autonomy versus mission readiness. Early ethicist involvement in policy-making and shared decision-making processes is key to aligning medical actions with patients' values, ensuring that care remains patient-centered even amidst rapid changes in the medical landscape. Medical students, especially those in military programs, must be equipped with a strong ethical toolkit to face the challenges of contemporary and future medical practice, including varying treatment approaches and legal constraints. The future of military medical ethics points towards an increase in formal ethics training and the early incorporation of ethical considerations in policy-making to better prepare for complex situations such as pandemics and large-scale combat operations.   Episode Keywords: Medical Ethics, Military Medicine, Bioethics, Ethical Decision-Making, Patient Autonomy, Military Protocol, Ethics Committees, Artificial Intelligence, Cultural Sensitivity, Patient Confidentiality, Healthcare, Ethics Consultations, Military Healthcare System, Ethical Training, Organizational Ethics, Resource Allocation, Combat Operations, Cultural Relativism, AI Algorithms, Human Enhancement, Informed Consent, Pandemic Response, Vaccinations, Harm Principle, Ethical Toolkit, Ethics of Care, Legal Constraints, Neonatology, Formal Ethics Training, Shared Decision-Making, Emergency Situations, Guidance Hashtags: #wardocs #military #medicine #podcast #MilMed #MedEd #MilitaryMedicalEthics #DrJeanneKrick #BioethicsInUniform #HealthcareOnTheFrontlines #EthicalDecisionMaking #ArtificialIntelligenceEthics #PatientAutonomy #MedicalEthicsTraining #NeonatologyEthics #CulturalSensitivityInMedicine   Other Medical Ethics Resources: -DoD Medical Ethics Center- https://www.usuhs.edu/research/centers/dmec The DMEC is situated out of USUHS and has several resources for those in uniform on medical ethics (I am a little embarrassed that I forgot to mention them in the actual interview last night...). Their website has a link to their internal training course, which is really a series of YouTube videos that cover some basic bioethics topics. They also have an app (I believe it's available through all the usual sources and on all devices) that is free to download and has plenty of resources. The app could be a great resource for folks looking for more material, especially in austere environments.    -American Society for Bioethics and Humanities- https://asbh.org/ This is the main organization for medical ethics within the US. There are links to many helpful resources on their site, including professional development, endorsed meetings, and guidelines/standards for clinical ethics consultation.    Honoring the Legacy and Preserving the History of Military Medicine   The WarDocs Mission is to honor the legacy, preserve the oral history, and showcase career opportunities, unique expeditionary experiences, and achievements of Military Medicine. We foster patriotism and pride in Who we are, What we do, and, most importantly, How we serve Our Patients, the DoD, and Our Nation.   Find out more and join Team WarDocs at https://www.wardocspodcast.com/ Check our list of previous guest episodes at https://www.wardocspodcast.com/episodes Listen to the “What We Are For” Episode 47. https://bit.ly/3r87Afm   WarDocs- The Military Medicine Podcast is a Non-Profit, Tax-exempt-501(c)(3) Veteran Run Organization run by volunteers. All donations are tax-deductible and go to honoring and preserving the history, experiences, successes, and lessons learned in Military Medicine. A tax receipt will be sent to you.   WARDOCS documents the experiences, contributions, and innovations of all military medicine Services, ranks, and Corps who are affectionately called "Docs" as a sign of respect, trust, and confidence on and off the battlefield, demonstrating dedication to the medical care of fellow comrades in arms.     Follow Us on Social Media Twitter: @wardocspodcast Facebook: WarDocs Podcast Instagram: @wardocspodcast LinkedIn: WarDocs-The Military Medicine Podcast

In this episode, we decode the tantalizing hints from DeepMind as they suggest the path to Artificial General Intelligence (AGI) through the creation of algorithms for lossless compression, exploring the implications of this groundbreaking step in AI advancement. Invest in AI Box: https://Republic.com/ai-box Get on the AI Box Waitlist: https://AIBox.ai/ AI Facebook Community Learn About ChatGPT Learn About AI at Tesla

This episode is sponsored by Celonis ,the global leader in process mining. AI has landed and enterprises are adapting. To give customers slick experiences and teams the technology to deliver. The road is long, but you're closer than you think. Your business processes run through systems. Creating data at every step. Celonis recontrusts this data to generate Process Intelligence. A common business language. So AI knows how your business flows. Across every department, every system and every process. With AI solutions powered by Celonis enterprises get faster, more accurate insights. A new level of automation potential. And a step change in productivity, performance and customer satisfaction Process Intelligence is the missing piece in the AI Enabled tech stack. Go to https:/celonis.com/eyeonai to find out more. Welcome to episode 146 of the Eye on AI podcast. In this episode, host Craig Smith sits down with Viren Jain, a leading Research Scientist at Google in Mountain View, California. Viren, at the helm of the Connectomics team, has pioneered breakthroughs in synapse-resolution brain mapping in collaboration with esteemed institutions such as HHMI, Max Planck, and Harvard.   The conversation kicks off with Jain introducing his academic journey and the evolution of connectomics – the comprehensive study of neural connections in the brain. The duo delves deep into the challenges and advancements in imaging technologies, comparing their progression to genome sequencing. Craig probes further, inquiring about shared principles across organisms, the dynamic behavior of the brain, and the role of electron microscopes in understanding neural structures.   The dialogue also touches upon Google's role in the research, Jain's collaborative ventures, and the potential future of AI and connectomics. Viren also shares his insights into neuron tracing, the significance of combining algorithm predictions, the zebra finch bird's song-learning mechanism, and the broader goal of enhancing human health and medicine.   Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI (00:00) Preview, Introduction and Celonis (06:45) Viren's Academic and Professional Journey (13:17) AI's Technological Progress and Challenges (22:20) Deep Dive into Connectomics (39:20) Google's Role in AI (44:16) Natural Learning vs. AI Algorithms (57:32) Brain Mapping: Present and Future (01:00:33) Brain Studies for Medical Advancement (01:06:05) Final Reflections and Celonis ad  

Do you resist AI? Are you a slave to AI? Or do you acknowledge that you have a choice to use it or not? In today's episode, Simone Milasas talks with Megan Hill, a Certified Facilitator of Access Consciousness who also brilliantly manages the marketing for Access Consciousness, about the use of AI in business today. It's not about whether AI is right or wrong, good or bad. It's about always choosing what works for you. For Simone, AI is about formulas, not questions. When you are truly being in question, you allow the possibilities to show up and you can choose something that has never existed before. That's the future Simone would like to see for the planet, even with the use of AI. If the world was in question rather than allowing anything to be your boss, then you could receive everything, including AI, and still be in question.  There's a lot out there telling you how you should do things, and there isn't that much out there empowering you to go to question and to trust that you know and have you be the leader; to be really different. Our future will get greater if we are different and inspired to be different.  Keys to success Living In Question Using AI In Marketing The Energy Of Creativity What Else Is Possible? What If You Always Chose What Works For You? Daily Questions: "What else is possible?” “What can I create today?” “What works for me?” Useful Links: The Clearing Statement explained Access Consciousness Website Choice, Change & Action Podcast Instagram The Choice and Contribution Membership Simone Milasas' Website Simone Milasas' Instagram Simone Milasas' Facebook Simone Milasas' YouTube Simone Milasas' Contact Email Megan Hill's Website Megan Hill's Instagram Megan Hill's Facebook Joy of Business book Joy of Business website Getting Out of Debt Joyfully ~ Taking Action online, self-paced course

Dive into the fascinating world of one-shot, few-shot, and zero-shot learning in this episode of "The AI Frontier". Discover how these innovative techniques tackle data scarcity in machine learning, explore key algorithms, and learn about their real-world applications. We'll also discuss the challenges these methods face and share success stories of their implementation. Join us as we explore the future of these techniques and their potential impact on the field of AI.Support the Show.Keep AI insights flowing – become a supporter of the show!Click the link for details

DECODING RACE, AI, ALGORITHMS & AUTOMATION The  tech we use  impacts  our  lives. They aren't neutral objects but can have particular worldviews baked-in to the very operation of them. It can be overwhelming to begin to challenge those cultural biases when a lot of mainstream conversation on technology is wrapped up in speculation and paranoia. How do we make sense of all this? On today's show we begin to decode some of this with guest producer Dr Sarita Herse in conversation with feminist technoscience Dr Thao Phan. Together they chat through race, AI and algorithms helping us see through the veil of opaque and insidious tech; and ways to co-opt these forms to find meaningful resistance.  ** updated link ** To learn more about the “Study In” that Thao mentioned at the end of their conversation, follow us on socials or submit your expression of interest via the Art+Australia website.  Learn more about Dr Thao Phan's work 5 Questions on Liminal  Listening to Misrecognition - her amazing performance lecture on machine listening and racialised English  Read some of her academic work here This piece was produced by Sarita Herse, and was co-hosted by Sarita Herse & Shareeka Helaluddin.  See omnystudio.com/listener for privacy information.

How will AI, algorithms, creators, and data transparency shape the future of Hollywood?On today's episode, Jamie and Josh dive into the key issues behind the SAG-AFTRA strike. How do major studios plan to use AI – and how can they come to an agreement with unions to ensure actors and writers are fairly compensated? How does a lack of data transparency from streamers and studios influence residual structures and the development of future projects? Why are non-union creators and influencers standing in solidarity with the unions – and what is their role in the evolving digital ecosystem?Show notes and resourcesWhat Happened the Last Time SAG and the WGA Went on Strike Together - TIMEBackground Actors Sound Off on Alarming AI Future and What's At Stake In The Actors Strike - HuffPostChristopher Nolan: Companies Don't Want To Take Responsibility For Whatever That Algorithm Does - DeadlineFAQs For Influencers - SAG-AFTRASAG-AFTRA issues strike guidance specifically for influencers amid confusion - NBC News5 Predictions for the Future of Digital Media - BuzzFeedFollow Digital VoidSubstack: https://substack.com/@digitalvoidTwitter: https://twitter.com/digivoidmediaInstagram: https://www.instagram.com/digitalvoid.mediaPress: hello at digitalvoid dot mediaCreditsHosted by Josh ChapdelaineAudio edited and mixed by Josh ChapdelaineDigital Void Podcast is a production of Digital Void, LLC. Hosted on Acast. See acast.com/privacy for more information.

This article explores the paradigm shift in digital advertising brought about by AI-powered marketing tools. These tools combine the capabilities of AI and automation to transform traditional advertising methods. They leverage historical data to generate optimized ad content and execute personalized campaigns, resulting in increased organic traffic. The article presents a list of top AI marketing platforms, including Ad Creative.ai, known for its ML-powered ad creatives, AD YOU NEED with its AI Audience Finder, and Albert, an AI marketing guru offering cross-channel capabilities. Embracing AI-powered marketing allows marketers to achieve unprecedented efficiency, personalization, and success in their ad campaigns.

Laura M. Moy, Associate Professor of Law at Georgetown University Law Center and Director of the Communications & Technology Law Clinic, explains the proposed D.C. law holding companies accountable for using discriminatory AI algorithms in evaluating applicants for jobs, housing, or other similar opportunities. The moderator for this podcast is Don Allen Resnikoff. The proposed legislation would prohibit companies from using artificial intelligence algorithms that produce biased or discriminatory results.  Biased or discriminatory results cause harm by blocking people from opportunities such as jobs or housing. Ms. Moy explains that companies that use algorithms in their decision making would be required by the proposed law to, among other things, audit their algorithms for discriminatory patterns, and disclose and explain when algorithms negatively affect an applicant's opportunities.  The proposed law would empower the AG's office and individuals to bring suit for violations. Ms. Moy argues that the proposed law is needed to protect applicants' rights. She also addresses some arguments raised in opposition.  Opponents argue that there is already law in existence making discrimination illegal, so that a supplemental anti-discrimination law focused on algorithms is not needed.  Also, opponents argue that language in the proposed law is complex and unclear, causing uncertainty for companies using algorithms. Please note, the positions and opinions expressed by the speakers are strictly their own, and do not necessarily represent the views of their employers, nor those of the D.C. Bar, its Board of Governors or co-sponsoring Communities and organizations.

(6:38) - Prompt Engineering For Generative AI

Host: HutchOn ITSPmagazine  

On today's episode of Everyday AI, we let you ask us anything! From the socioeconomic impacts of AI to plagiarism detection for AI-generated content, we answer all the questions. We also discuss today's latest AI news including G7 meeting to talk about AI's impact and bringing loved ones back from the dead using AI. If you have any questions you'd like to ask us, feel free to join us every weekday at 7:30 AM CST on LinkedIn, Twitter, YouTube, Facebook, and Twitch!Time Stamps:[00:01:01] AI Regulation Discussed at G7 Summit[00:05:28] US Slow to Regulate AI as US Tech Stocks Surge[00:09:40] Google's New Text to Speech and Audio[00:14:33] Challenges of Addressing Biases in AI Algorithms[00:18:23] How Will AI Impact Employment and Inequality?[00:24:05] China Using AI to Bring Loved Ones Back From the Dead[00:27:15] Human Rights in AIFor full show notes, head to YourEverydayAI.com Topics covered in the podcast episode include:- Concerns about human rights implications of cloning people's voices and generating digital avatars- Benefits of using voice cloning technology to remember loved ones and for those who never had a chance to record their loved ones' voices while they were still alive- Tools available for checking plagiarism in exact copies of texts- US dragging its feet on AI regulation due to AI and tech stocks contributing significantly to the stock market growth- Mitigating negative consequences of AI use in the entertainment industry, including writer's strike in Hollywood and the need for standards for AI use in productions- Sounding platform by Google that allows text to speech, text to audio, and text to music- Use of AI in certain industries to write scripts, storyboards, and other creative work leading to layoffs- Two sides of technology, including the potential positives and negatives of AI- Keeping up to date with AI developments and practical next steps- G7 world leaders meeting to discuss AI regulation and making it more trustworthy- Addressing biases in AI algorithms for fair and unbiased outcomes in various domainsAdditionally, the podcast episode features a live Ask Us Anything session, where the speakers answer questions about the socioeconomic impacts of AI on employment, income distribution, and economic inequality and discuss biases in AI training models.Keywords:human rights, AI, cloning, voice generation, digital avatars, bad actors, stuffed animals, voice recording, plagiarism, Chat GPT, AI regulation, tech stocks, Google, Soundstorm, text to speech, text to audio, text to music, creative work, layoffs, socioeconomic impacts, income distribution, economic inequality, interview, biases, algorithms, banking industry, loan approvals, hiring, Lex Friedman, CEO, OpenAI, models training. Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/

Peter Seeberg talked to Daniele Gamba. He is the CEO of AISent and they talked about different industrial AI use cases and why the Italian team develops their own algorithms. They discussed the topic of synthetic data for industrial applications. Daniele Gamba is also an Adjunct Professor of Machine Learning and a Forbes Under 30. He shares his industrial AI expierences with us. Thanks for listening. We welcome suggestions for topics, criticism and a few stars on Apple, Spotify and Co. We thank our new partner [Siemens ](https://new.siemens.com/global/en/products/automation/topic-areas/artificial-intelligence-in-industry.html) Our guest: Daniele Gamba (His [LinkedIn](https://www.linkedin.com/in/daniele-gamba/) Profile)

Live Now with Veenu and Chuck Today's Theme: 4 levels of learning and subliminal influences from AI and algorithms. So we are all being pressured unconsciously through algorithms and social media. We are being groomed for purchasing, direction, time, and interest level. The levels of learning you know well. Learning to walk can be an example. Unconscious Incompetence. Conscious Incompetence, Conscious Competence, Unconscious Competence. Each has its merits and learnings. Let's examine how we can filter and exercise strategies to tend the weeds to the garden of our minds. Please be aware you are witnessing a live-recorded conversation exploring opinions that do not necessarily represent you, global views, and/or scientific approaches. These are just conversations of opinions through personal experiences, challenges, and studies. Please take what resonates with you, and leave what doesn't. Feel free to share your own opinion, as you might have your own journey and knowledge that will help someone on their personal path.    Give Your Kids a Childhood They Won't Need To Heal From Follow me on social media Instagram ▶ https://www.instagram.com/veenuinspir... Facebook ▶ https://www.facebook.com/veenuinspires TikTok ▶ https://www.tiktok.com/@veenuinspires...

STAT reporter Bob Herman joins us to explain how treatment algorithms powered by artificial intelligence are being used more frequently by Medicare Advantage plans to deny claims, even when continued treatment is medically justified. We'll also discuss the latest news in the life sciences, including the continued fallout of the run on Silicon Valley Bank, the return of Carl Icahn, and a long-awaited pharmaceutical megadeal.

Our guest today is Louis Bouchard, founder of the What's AI Youtube channel & Towards AI. Louis is also a PhD student at the Quebec Artificial Intelligence Institute (Mila) founded by Yoshua Bengio.In our conversation, Louis first talks about What's AI and explains how and why he launched his own Youtube channel. We then explore the world of Research and AI Algorithms. We discuss some of the latest techniques, chat about what intelligence actually means and debate on whether AI algorithms are actually intelligent or not. We also dive into research papers where Louis shares advice on how to easily read and understand technical content. Finally, Louis explains how he got into the field, talks about his PhD and shares more about applying computer vision for medical images.  If you enjoyed the episode, please leave a 5 star review and subscribe to the AI Stories Youtube channel.Follow Louis on LinkedIn: https://www.linkedin.com/in/whats-ai/What's AI Youtube channel: https://www.youtube.com/@WhatsAITowards AI: https://towardsai.net/Follow Neil on LinkedIn: https://www.linkedin.com/in/leiserneil/  ---(00:00) : Intro(02:16) : What's AI Youtube Channel(08:11) : AI Algorithms(12:10) : AI & Intelligence(18:58) : How to read research papers(35:47) : Latent Diffusion(41:06) : How Louis got into the field(54:25) : Master's research project(01:00:37) : Computer vision for medical imaging(01:12:24) : Career Advice

Host: Sean McDermott Guest speaker: Phil Tee, CEO of Moogsoft This week in Find Flow Podcast: A lot has happened in the last few years, and AIOps hasn't skipped out on these changes. With people collectively shifting to remote work environments, we've shifted from centralized IT to application-based operations based on providing one thing: availability. We're in the midst of an evolution in AIOps as lifestyle and work style morph. Sean talks about it all with Phil Tee, CEO of Moogsoft, who maintains that the vendors that pioneer the next generation of AI algorithms are the ones that will thrive. Find out more about Moogsoft: https://www.moogsoft.com/ Find out more about Windward: www.windward.com

AI Algorithms Combined with AI Avatars Outperform Wall Street Issuing Real-time Trading Signals One Hundred Percent Accurate. Learn more

A new study from UC Davis suggests that artificial intelligence recommendation algorithms on sites like YouTube and TikTok can play a role in political radicalization. In this episode, UC Davis Computer Science Ph.D. Student Muhammad Haroon, who led the study, discusses how the study was designed, what the team found, and a new digital tool they created to mitigate the radicalizing effect of social media platform AI Algorithms. 

Dr. Grin Lord is the founder and CEO of mpathic.ai, an AI-powered service bringing empathy to enterprises. Trained as a clinical psychologist, Grin describes critical discoveries while a research scientist and gaining expertise in conversational design. She shares insights about how AI and machine learning can augment human connection, improve therapy bots, and train leaders, managers, and employees to be more empathic.   KEY TAKEAWAYS   [03:12] Dr. Grin Lord's scientific background and early focus on empathy.   [04:15] The extraordinary benefits of listening and withholding judgments.   [07:28] The national rollout and financial impact of empathetic listening.   [08:12] Grin finds the 3-day training workshops are not successful for forming habits.   [09:43] Grin transitions to coaching modality to change behaviors.   [11:21] Specific intense training rules for providers optimize empathy, engagement, and trust.   [12:53] Unnatural learned techniques have undeniable power!   [13:41] Self-awareness is needed to adhere to the rules and be most effective.   [14:30] With phone-based coaching, Grin starts using machines to support the process of learning empathy.   [15:17] Research and ratings evaluate provider effectiveness and how computers were trained to do it.   [16:40] Grin explains synchronizing—people naturally adjusting their language style to others'.   [17:39] How synchronizing is a form of empathy.   [18:44] Grin is curious about other ways we can measure empathy.   [19:49] Dr. Lord's realization: we need to get outside of the clinical space. [20:00] Grin wants to use her learnings outside clinical and academic fields and moves into the startup space.   [21:48] When the pandemic starts, Grin is working on a therapy chatbot that uses artificial intelligence.   [22:56] People start preferring to talk to the chat bot as it “gets” them.   [23:56] During the crisis, Grin starts her own company while looking after her kids and both parents at home.   [25:36] Starting with a game Empathy Rocks, Grin teaches coaches and therapists how to listen with empathy.   [27:03] The next step was applying empathy in different business and work situations.   [27:24] The powerful effect of empathy—or lack of empathy—when handling insurance claims.   [30:00] How empathic suggestions help managers give feedback.   [31:56] The next feature will direct users responses over time to relevant skills training.   [33:54] The goal is to give objective, timely feedback at scale, not to replace human interaction.   [35:48] Grin explains how mpathic is currently being integrated in HR platforms to improve communications.   [38:05] IMMEDIATE ACTION TIP: If you want to be more empathetic, start with seeing if you can repeat back what you heard when you're listening, before you ask a question or provide advice.   [39:02] Grin recommends starting to apply a couple of simple skills in your daily life.     RESOURCES   Dr. Grin Lord on LinkedIn Dr. Grin Lord's blog Dr. Grin Lord on Twitter @drgrinlord mpathic.ai mpathic.ai on LinkedIn     QUOTES   “We found that the folks that got the empathy intervention had major drops in their drinking and those effects held for three years and led to a 46% reduction in readmissions.”   “Some of the key ingredients of listening interventions have to with approaching people with non-judgment, curiosity, and accurate listening.”   “Even if the person knows that you're using those techniques — it's undeniably powerful — they still work!”   “We even had users report that they would rather talk to the bot than a human because of how consistently non-judgmental it was.”   “A large percentage of customers will leave after a bad interaction.”   “The core starting place for improving your empathy over time is seeing if you can get accurate understanding before you jump in providing advice or assuming.”

Advanced computer programs influence, and can even dictate, meaningful parts of our lives. Think of streaming services, credit scores, facial recognition software. As this technology becomes more sophisticated and more pervasive, it’s important to understand the basic terminology. On this Labor Day, we're revisiting an episode in which we explore the terms “algorithm,” “machine learning” and “artificial intelligence,” which are often used interchangeably. There is some overlap, but they're not the same things. We decided to call up a few experts to help us get a firm grasp on these concepts.

Advanced computer programs influence, and can even dictate, meaningful parts of our lives. Think of streaming services, credit scores, facial recognition software. As this technology becomes more sophisticated and more pervasive, it’s important to understand the basic terminology. On this Labor Day, we're revisiting an episode in which we explore the terms “algorithm,” “machine learning” and “artificial intelligence,” which are often used interchangeably. There is some overlap, but they're not the same things. We decided to call up a few experts to help us get a firm grasp on these concepts.

August 18: Today on TownHall https://www.linkedin.com/in/brett-oliver-md-1b1b6017/ (Brett Oliver), Family Physician and Chief Medical Information Officer at https://www.baptisthealth.com (Baptist Health) speaks with Joey Bargo, Radiologist and Clinical Informaticist at https://thynkhealth.com/ (Thynk Health) about AI algorithms in healthcare. What are the major limitations for mass adoption of AI for organizations looking to start using it? What are the challenges in evaluating the data once implemented? What is an organization's obligation to transparency when using AI? Webinar: Don't Pay The Ransom - Thu Aug 18 @ 1pm ET / 10am PT Is your health system paying out for attacks on your data? How can we stop the cycle? Rubrik is offering incredible insight into the arising issues in cyber resilience in ransomware attacks, cloud data management with securing Epic in Azure, and unstructured data. In this webinar, we analyze the best practices to initiate in our hospital systems.https://thisweekhealth.com/dont-pay-the-ransom-insight-into-cyber-resilience-in-ransomware-attacks-cloud-data-management-unstructure-data/ ( Register here)

Joe Cohen, founder of SelfDecode, SelfHacked and LabTestAnalyzer is a thriving speaker and entrepreneur that has been independently researching health and science for over 15 years. Growing up with a myriad of health issues that conventional medicine failed to solve pushed Joe to study his own genes to get to the root cause of his problems.After fixing his chronic health issues with a personalized gene-based approach to health, he knew that he needed to share this information with the masses. Founding SelfHacked, LabTestAnalyzer and SelfDecode was Joe's way of helping people take their health into their own hands and to provide people with access to cutting-edge tools and information designed to optimize health.Join us as we explore:How Joe's powerful journey from pain to purpose has culminated in his incredible health app SelfDecode.Joe's lived experience and perspective of the nature vs nurture puzzle.Why Joe is passionate about personalization and rejects one-size-fits all solutions.Joe's belief that genetics should be the foundation of health care but also why there are so many misconceptions about what genetics can predict.SelfDecode's next level genetic analysis, mapping and prediction models and how that is changing people's lives around the world!What your snips can tell you about where to prioritize your time and energy during your health journey, and what it means to “niche down”.Why the potential of Mendelian Randomization made me go WOW!Contact:Website - https://selfdecode.comInstagram - @mrbiohackerMentions Podcast – High Uric Acid Is Another Cause of Chronic Disease, https://youtu.be/4i3QOkqiQgASchedule a FREE 15 min discovery call with Steve and let's get started on your journey to thriving: https://bit.ly/3BcTsFwSUPPORT THE SHOW ON PATREON:As much as we love doing it, there are costs involved and any contribution will allow us to keep going and keep finding the best guests in the world to share their health expertise with you. I'd be grateful and feel so blessed by your support: https://www.patreon.com/MadeToThriveShowCONTACT Steve Stavs and join our community:https://www.facebook.com/MadeToThriveZA/     https://www.facebook.com/SteveStavsZA/https://www.instagram.com/stevestavsza/  Send me a WhatsApp to +27 64 871 0308. 

Advanced computer programs influence, and can even dictate, meaningful parts of our lives. Think of credit scores or facial recognition software. And as this technology becomes more sophisticated and more pervasive, it’s important to understand the basic terminology. People often use “algorithms,” “machine learning” and “artificial intelligence” interchangeably, and there is some overlap, but they’re not the same things. Marketplace’s Kimberly Adams has discussions with several experts to get some basic definitions.

Advanced computer programs influence, and can even dictate, meaningful parts of our lives. Think of credit scores or facial recognition software. And as this technology becomes more sophisticated and more pervasive, it’s important to understand the basic terminology. People often use “algorithms,” “machine learning” and “artificial intelligence” interchangeably, and there is some overlap, but they’re not the same things. Marketplace’s Kimberly Adams has discussions with several experts to get some basic definitions.

Guest: Graeme Codrington | Futurist and Partner at TomorrowToday| See omnystudio.com/listener for privacy information.

Repeat - So-called 'filter bubbles' have become a major source of concern in cyberspace, particularly on social networking platforms which are incentivised to show you content that you will like or agree with, thus keeping you engaged and increasing their advertising revenues – while at the same time, however, preventing you from seeing content that might challenge your current views. With Artificial Intelligence algorithms playing a major role in this, Jonathan caught up with AI expert Robert Moro of the Kempelen Institute of Intelligent Technologies, who researches filter bubbles, to get a better understanding of these new technologies and what impact they're having on society. The existence of species of bacteria on earth that are nearly impossible to kill have suggested to scientists that there may be similar forms of life present in the extremely harsh environments of nearby planets like Mars. Jonathan speaks with astrobiologist Tomáš Paulech of the Astronomical and Geophysical Observatory in Modra.

Host: Sean McDermott Guest speaker: Phil Tee, CEO of Moogsoft This week in Find Flow Podcast: A lot has happened in the last few years, and AIOps hasn't skipped out on these changes. With people collectively shifting to remote work environments, we've shifted from centralized IT to application-based operations based on providing one thing: availability. We're in the midst of an evolution in AIOps as lifestyle and work style morph. Sean talks about it all with Phil Tee, CEO of Moogsoft, who maintains that the vendors that pioneer the next generation of AI algorithms are the ones that will thrive. Find out more about Moogsoft: https://www.moogsoft.com/ Find out more about Windward: www.windward.com

They're coming - AI and machine learning algorithms in digital pathology. How do we go about assessing the robustness and suitability of these new tool for use in actual clinical practice? Our guests are Dr. Angelique Levi, Associate Professor of Pathology and Vice Chair and Director of Pathology Outreach Services and Dr. Sudhir Perincheri, Assistant Professor of Pathology and Director of Digital Pathology, both from Yale School of Medicine. We're talking about how new tools are going to be incorporated into clinical practice, and the impact of these new tools in various practice settings, such as academic medical centers, community outreach, and private practice. What does this mean for the training of the next generation of pathologists? We're only human, after all, but what about machine algorithms? What level of mistakes or "misses" is allowable? And what if these tools are too sensitive, could they actually slow us down and make life more complicated for us?

Hey guys, in this episode I have as guest Joe Scarffe, Chief Market Officer at Twine. In this episode we talk about bias an ethics in the datasets and also in the artificial intelligence algorithms. We discuss about some well known bias present in video and audio datasets like gender, age, skin color, accent and also some non trivial bias like the combination of the previous ones, the inference of the demographic attributes based on other attributes and even the existence of a qualitative bias that usually is not taken into account. We also discuss about the ethics of using AI algorithms, where I ask Joe some really trick questions about usage of the algorithms and much more! Go listen the episode because it's a really important subject and the discussion is really interesting. Instagram: https://www.instagram.com/podcast.lifewithai/ Linkedin: https://www.linkedin.com/company/life-with-ai Joe's and Twine's contact: Twine AI Page: https://www.twine.net/ai Twine Blog: https://www.twine.net/blog/category/ai/ Data Collector Page: https://www.twine.net/freelance/data-collector Joe's Linkedin: https://www.linkedin.com/in/joe-s-4b0a18101/ Joe's email: joe@twine.net

On this episode of “Brains Behind AI”, Ari had the opportunity to speak with Lawrence Ngo, a practicing radiologist with a PhD in neurobiology. Lawrence is also the Co-founder and CEO of CoRead.AI, a start-up that has developed machine learning algorithms that analyzes the images and reports from radiology exams, and flags studies with high probability for peer review. We dive into Dr. Ngo's ride from earning his PhD, working through his residency, and founding an AI company. CoRead AI been able to successfully create algorithms that monitor for radiologist blind-spots diagnosis, they are making a giant splash in the Radiology space. Make sure to tune in to hear more.

Dr. Lance Eliot explains forensics evidence and AI algorithm issues. See his website www.ai-law.legal for further information.

Hey guys, in this episode I talk about how to input tabular data into artificial intelligence algorithms. You can understand tabular data as the famous excels tables, where you have categorical and numerical variables. in this episode I explain how the algorithms see tabular data and have how to transform this into the right format. Instagram: https://www.instagram.com/podcast.lifewithai/ Linkedin: https://www.linkedin.com/company/life-with-ai Code: https://github.com/filipelauar/projects/blob/main/categorical_encoding_numerical_scaling_normalization.ipynb

AI is spreading around the world, both in terms of technology and workforces. Many tasks that support artificial intelligence are being outsourced globally, with many workers exploited or mistreated as they take up the opportunities offered by the information economy. In this episode, Alexandrine Royer, Student Fellow at the Leverhulme Center for the Future of Intelligence, joins Chris Grundemann and Stephen Foskett to discuss the prospects for global AI workers. The situation is akin to globalization of manufacturing or shipping, with powerful corporations exploiting differing regulations and approaches around the world. Given this situation, collective action and advocacy might be the only way for workers to improve their situation. Three Questions Stephen: How long will it take for a conversational AI to pass the Turing test and fool an average person? Chris: Are there any jobs that will be completely eliminated by AI in the next five years? Tony Paikeday, Senior Director of AI Systems at NVIDIA: Can AI ever teach us to be more human? Links The urgent need for regulating global ghost work (brookings.edu) The wellness industry's risky embrace of AI-driven mental health care (brookings.edu) Guests and Hosts Alexandrine Royer, Student Fellow at the Leverhulme Center for the Future of Intelligence. Connect with Alexandrine on LinkedIn. Chris Grundemann, Gigaom Analyst and Managing Director at Grundemann Technology Solutions. Connect with Chris on ChrisGrundemann.com on Twitter at @ChrisGrundemann. Stephen Foskett, Publisher of Gestalt IT and Organizer of Tech Field Day. Find Stephen's writing at GestaltIT.com and on Twitter at @SFoskett. Date: 10/26/2021 Tags: @SFoskett, @ChrisGrundemann

Eliminating bias in word embedding ft. Ayush Sharma --- Send in a voice message: https://anchor.fm/tonyphoang/message

Dr. Paul Yi interviews Hari Trivedi, MD, Assistant Professor of Radiology and Biomedical Informatics, co-director of the Health Innovation and Translational Informatics (HITI) lab Yasasvi Tadvarthi, MD, Resident Physician about their paper Radiology AI: Current Market Offerings and Purchasing Decisions, Tadavarthi et al. Introduction to the podcast by Dania Daye, MD, PhD

Scott McCarty Scott McCarty is a principle product manager for the container subsystem team at Red Hat... if you're unsure what that means... lets just say he's one of the super awesome guys and gals who make sure that the OpenShift on Red Hat works. LinkedIn: https://www.linkedin.com/in/scmccarty/ Twitter: https://twitter.com/fatherlinux Notes: AskNoahShow Interview with Scott McCarty https://podcast.asknoahshow.com/127 Discussion on Alpha Fold: https://www.youtube.com/watch?v=q1N61TxvbLw The Opinion Dominion Episode 14: Should Algorithms be Free and Open? https://www.theopiniondominion.org/14 The Opinion Dominion Episode 16: Does Openness of AI Algorithms matter? https://www.theopiniondominion.org/16 Credits: Music by ikson: https://www.iksonmusic.com Special Guest: Scott McCarty.

The artificial intelligence programs can diagnose eye disease in diabetics and complications in stroke patients.

The artificial intelligence programs can diagnose eye disease in diabetics and complications in stroke patients.

ThoughtTrace's CEO, Nick Vandivere, joins Coruzant Technologies for the Digital Executive podcast.  He shares how his company leverages AI to read subject matter for a specific domain or use case using NLP (Natural Language Processing) to address business needs at scale.

John Robb has a concept of Networked Tribalism, which is a result of the combination of filter bubbles, AI algorithms, and political polarization. Robb is a military analyst who looks at the impact of technology on culture, and he started his Global Guerrillas blog back in 2003 where he was tracking what he calls the 'Open Source Insurgency' in Iraq where there over 70 different factions who were all collaborating against the U.S. occupation. Open Source Insurgency morphed into Open Source Protest with Occupy Wall Street and the protest movements around the world, and then eventually into Open Source Politics with the 2016 Trump campaign, and then eventually into what he calls 'Networked Tribalism.' Robb now runs his Global Guerrillas Report through his Patreon.

- Tesla Ready to Sell LiFePO Model 3's in China- VW Buys Hella Unit for ADAS- Audi Details New A3 PHEV- BMW Reveals New 4 Series Convertible- BMW Gets Great Feedback from Publishing AI Algorithms- Buick Revives Old Name for New EV Concept- Alfa Says Quality is Going Up

- Tesla Ready to Sell LiFePO Model 3's in China - VW Buys Hella Unit for ADAS - Audi Details New A3 PHEV - BMW Reveals New 4 Series Convertible - BMW Gets Great Feedback from Publishing AI Algorithms - Buick Revives Old Name for New EV Concept - Alfa Says Quality is Going Up

Aaron Rabinowitz, host of the Embrace the Void Podcast, joins James to talk about the AI algorithms which are ruining our lives! How does YouTube decide what videos we should watch next? How does Facebook determine what posts should invade our eyeballs? And do these algorithms help or hurt us? Find the answers to these questions – and hear Aaron’s 'tight five' on why Blade Runner is a bad film – in Episode 24 of Ethics and Chill!

We've all gone down a rabbit hole on youtube that has lasted for hours. What we don't think much about is how hours of scrolling on social media platforms affect our thoughts, our opinions, and even our lives. What influence do algorithms have on shaping our opinions? Is censorship dangerous or necessary? Will Tik-Tok take over the world? Join us in episode 16 where we discuss the New York Times podcast: Rabbit Hole and the reality of what the internet is doing to us.

If you're a hospital that uses AIDOC's software, less people will die. That's the impact that medical-grade AI imaging software can have when built by the likes of Elad and his co-founders, Michael and Guy.About AIDOC: AI software that helps radiologists prioritise sick patients by flagging acute injuries. Scanned over 3.5m images in the world's best hospitals such as Cedar Sinai in LA. Square Peg led their US $26m Series B in 2019.On today's episode, you'll here: About Talpiot. The best founder training program you've never heard of; What it was like to be the Head of AI + Algorithms for the Israeli Airforce; How a big misunderstanding helped sell them sell into hospitals; About product-market-regulation fit.Learn more about AIDOC: https://www.aidoc.com/

Want to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. AbstractHosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Rishal Hurbans author of Grokking AI Algorithms, Solution Architect at Intellect, and founder at Prolific Idea in 2015. Al and Rishal talk about Rishal’s book Grokking AI Algorithms and its effect on ants and understanding algorithms. Show Notes4:04 – Bio Rhythmic Using Ants 8:04 – Knapsack Problem vs Algorithms9:02 – Mother and Father DNA10:29 – Silver Bullet12:42 – Real World Examples Algorithms17:20 – Genetic Algorithms28:30 – Rishal’s Best Podcasts· Ted Radio Hour - https://www.npr.org/programs/ted-radio-hour/· Hidden Brian - https://www.npr.org/series/423302056/hidden-brain· Masters of Scale - https://mastersofscale.com/· Tim Irvine Blog Wait But Why - https://waitbutwhy.com/Connect with Rishal HurbansRishal Hurbans - https://rhurbans.com/Grokking AI Algorithms - https://www.manning.com/Connect with the TeamProducer Kate Brown - LinkedIn. Producer Meighann Helene - LinkedIn. Producer Michael Sestak - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter.

Want to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. AbstractHosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Rishal Hurbans author of Grokking AI Algorithms, Solution Architect at Intellect, and founder at Prolific Idea in 2015. Al and Rishal talk about Rishal’s book Grokking AI Algorithms and its effect on ants and understanding algorithms. Show Notes4:04 – Bio Rhythmic Using Ants 8:04 – Knapsack Problem vs Algorithms9:02 – Mother and Father DNA10:29 – Silver Bullet12:42 – Real World Examples Algorithms17:20 – Genetic Algorithms28:30 – Rishal’s Best Podcasts· Ted Radio Hour - https://www.npr.org/programs/ted-radio-hour/· Hidden Brian - https://www.npr.org/series/423302056/hidden-brain· Masters of Scale - https://mastersofscale.com/· Tim Irvine Blog Wait But Why - https://waitbutwhy.com/Connect with Rishal HurbansRishal Hurbans - https://rhurbans.com/Grokking AI Algorithms - https://www.manning.com/Connect with the TeamProducer Kate Brown - LinkedIn. Producer Meighann Helene - LinkedIn. Producer Michael Sestak - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter.

“There has been big news about, Oh, there is no toilet paper. I agree. If you go to the big names, it wasn't there. I went to the local shops, and they had racks full of it. Why? Because corporate supply chains are finely tuned towards a certain goal: NOT to meet the customer needs, but to source toilet roll from wherever possible as long as they make that profit, that's where it stops. No profit, no roll.” This is a conversation with Raj Balasundaram. Raj is a Digital Marketing Evangelist and Artificial Intelligence Marketing aficionado. He is a tech storyteller, mentor and teacher simplifying complex digital challenges into common sense. In this episode, Raj talks about how AI is used in our supply chains to ensure profits for the retailers and why this meant that for a period of time we had no toilet roll. He makes a strong call for change and why this is important for our supply chain resilience and our planet.

Recorded by Robert Miles More information about the newsletter here

In this episode we talk about the good and bad of algorithms. Bunny discusses how algorithms can help in the medical field, and how they help you get that booty call you've been itching for. Star discusses the darker side of algorithms, the data minining, corruption and brain washing that the AI Algorithms create. So pull up a chair, grab a drink and join us for some convos about stuff happening in our cosmos.

Annalisa Heger and Amalia Stone discuss some concerns raised by the ACCC in relation to how algorithms are likely to impact on Australian competition and consumer law, and suggest some areas for business to think about in relation to use of algorithms, given the ACCC’s approach.

Enjoy!

Lauren Maffeo studies the emerging threats of artificial intelligence in her work as an analyst for GetApp, a software reviews site under Gartner Research that uses proprietary data to help match software buyers with the best tools for their businesses. In these two episodes of The New Stack Makers, Maffeo provides her perspective on artificial intelligence, its power and the threats it poses when unchecked. The top performing companies in the financial markets are using technologies based upon artificial intelligence. These technologies are powerful but can at times prove to pose indirect biases. That can lead to a bank loan getting denied, a passport not issued, a payment getting stopped and a black person getting a longer prison sentence due to the color of their skin.

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Welcome to episode 50 of the China influencer marketing podcast! Today’s guest is Raymond Huang, SVP of Strategy, at the publicly-traded fast-fashion social commerce platform Mogu or, in Chinese, 蘑菇街. If you’re like me and have a general awareness and understanding of Mogu but don’t really know what makes the platform unique, then this episode […]

Welcome to episode 50 of the China influencer marketing podcast! Today’s guest is Raymond Huang, SVP of Strategy, at the publicly-traded fast-fashion social commerce platform Mogu or, in Chinese, 蘑菇街. If you’re like me and have a general awareness and understanding of Mogu but don’t really know what makes the platform unique, then this episode is for you.  Raymond starts off by sharing a complete overview of Mogu, such as the apps content, the products it sells, and user demographics, and more. Then we dig in a bit deeper and learn what makes Mogu unique, from their tailored content algorithm, to their hundreds of homegrown influencers, to their regulations which prevent sellers from offering the same products as each other. We also discuss e-commerce live streaming and why adding this feature a couple years ago has been incredibly beneficial for the platform. To learn more about influencer marketing in China, sign up for our new newsletter: The China Influencer Update!   Notes: What is Mogu? Fashion platform that provides products and content – not just ecommerce platform, like a fashion magazine, interactive experience Have app and website, also an early adopter of WeChat mini-programs which has become a key source of traffic for them Product sold are mainly accessible mass market fashion products: women’s clothing, accessories, shoes, bags, cosmetics, men’s apparel Largely female user base Don’t target male audience, instead target women who purchase clothing for their husbands and boyfriends Brands on the platform: domestic fast fashion brands such as Metres Bonwe, HLA, La Chapelle Internet native homegrown brands, influencer brands Some international fast fashion brands Demographics of the platform wide range of 15-45, majority 20 - early 30s City tiers – highly correlated with GDP, 1st tier cities, also seeing massive userbase all over   Unique features: E-commerce live streaming: Added to platform in 2016 and has become a main driver of sales Users input body measurements and preferred styles and AI algorithm recommends influencer and streamers that match them Users can really see how the item would look on them, bridges gap between online and offline Seen significant financial results, users are very sticky Improves user retention Live streaming improves customer satisfaction with item and reduces the chance of returns or negative reviews   Curated content feed helps users find relevant products New users – takes their IP address and gives them custom results based on the city and climate they are in Users can fill out forms sharing personal style preferences and body measurements Browsing history, past purchases   Product curation Only preselected merchants and influencers are allow to sell on the platform Limit only one merchant to sell any particular item, other merchants would have to seel different colors, slightly different features, etc. Goal is to enrich SKUs avoid competition between merchants   Mogu seems to have some similarities with influencer incubator Ruhan, how are they different? Actually quite different They are their own platform, closer to Taobao than Ruhan, In terms of incubating talent, a lot of regular users on Mogu will slowly become influencers Spot talent, give them data support and supply chain support   Guest: Raymond Huang Host: Lauren Hallanan Website: www.chinainfluencermarketing.com LinkedIn: https://www.linkedin.com/in/lauren-hallanan/ WeChat: H1212118514 Check out my book: Digital China: Working with Bloggers, Influencers and KOLs ------- Thanks to our sponsors PARKLU: www.parklu.com and TMG Worldwide: www.tmgworldwide.com For additional information and show notes head over to www.chinainfluencermarketing.com If you like this podcast and know someone who might find it interesting, please share! 

We’re hearing a lot about AI, but what about the critical building blocks, the algorithms, that insurers are starting to rely on to make decisions in underwriting and claims assessment without human intervention? Is the industry ready to delegate underwriting to machines? Matthew Grant and Robin Merttens, your hosts for the Instech London podcasts and our monthly evening events, chat about the issues facing insurers and the companies that build the algorithms for them as a preview to our next event on 3rd June. Robin reveals what he has learnt about psychographics and Matthew asks for some ideas for speakers for a refreshingly different future innovation event.   We've now over 3,000 members and support from 80 companies, making Instech London the biggest community of innovators in insurance providing a deep network of advice, partners and support.    Registration for 3rd June opens on 30th April at www.instech.london Catch up with the views and insights of the Instech London partners in our weekly commentary, sign up here  Contact us at Hello@Instech.London  

Producer/Host: Jim Campbell Today, some updates on topics we’ve discussed before of the Electronic Cottage: Facebook’s numerous privacy “accidents”; AI Algorithms that are affecting all of our daily lives; cashless convenience stores that may have to start taking cash if several states have their way. Take a listen.

Producer/Host: Jim Campbell Today, some updates on topics we’ve discussed before of the Electronic Cottage: Facebook’s numerous privacy “accidents”; AI Algorithms that are affecting all of our daily lives; cashless convenience stores that may have to start taking cash if several states have their way. Take a listen. The post Notes from the Electronic Cottage 4/25/19: April Updates first appeared on WERU 89.9 FM Blue Hill, Maine Local News and Public Affairs Archives.

Learn about why the US once launched millions of copper needles into space; why bikes don’t fall down when you ride them; and 3 ways big data can predict what you really like to watch or listen to. In this podcast, Cody Gough and Ashley Hamer discuss the following stories from Curiosity.com to help you get smarter and learn something new in just a few minutes: The US Once Launched Millions of Copper Needles Into Space — https://curiosity.im/2tIFdWW 3 Ways Big Data Predicts What You Really Like to Watch and Listen To — https://curiosity.im/2tF1dBZ Additional resources discussed: How do bikes balance when we ride them? — https://scienceline.org/2007/11/ask-ashford-balancingbikes/ How does a bike stay upright? Surprisingly, it’s all in the mind | The Conversation — https://theconversation.com/how-does-a-bike-stay-upright-surprisingly-its-all-in-the-mind-59829 If you love our show and you're interested in hearing full-length interviews, then please consider supporting us on Patreon. You'll get exclusive episodes and access to our archives as soon as you become a Patron! https://www.patreon.com/curiositydotcom Download the FREE 5-star Curiosity app for Android and iOS at https://curiosity.im/podcast-app. And Amazon smart speaker users: you can listen to our podcast as part of your Amazon Alexa Flash Briefing — just click “enable” here: https://curiosity.im/podcast-flash-briefing.

How will the rise of AI change state and federal bureaucracies? Are AI mediated politics more democratic? More fair? What does post human governance look like? James Hughes is a senior research fellow at the Applied Ethics Center at Mass Boston. He is a bioethicist and sociologist who serves as the associate provost for institutional research, assessment, and planning at UMass Boston. He holds a doctorate in sociology from the University of Chicago where he taught bioethics at the MacLean Center for Clinical Medical Ethics. Since then, he has taught health policy, bioethics, medical sociology, and research methods at Northwestern University, the University of Connecticut, and Trinity College. He is the author of Citizen Cyborg: Why Democratic Societies Must Respond to the Redesigned Human of the Future (2004) and is the co-editor of Surviving the Machine Age: Intelligent Technology and the Transformation of Human Work (2017). In 2005 he co-founded the Institute for Ethics and Emerging Technologies (IEET) with Oxford philosopher Nick Bostrom, and since then has served as its executive director. Hughes serves as associate editor of the Journal of Evolution and Technology, and as co-founder of the Journal of Posthuman Studies. He is also a fellow of the World Academy of Arts and Sciences, a member of Humanity+, the Neuroethics Society, the American Society of Bioethics and Humanities, and the Working Group on Ethics and Technology at Yale University, and served on the State of Connecticut's Regenerative Medicine Research Advisory Committee. He speaks on medical ethics, health care policy, and future studies worldwide.  J will be giving a talk on this topic at UMass Boston on February 20th at 2PM. Please join us! email nir.eisikovits@umb.edu for details.   

Happy 2019 everyone! Welcome to the first show of the year, featuring Apple’s move to make iTunes available for Samsung, an Audi and Disney partnership that wants to bring VR into your car, AI algorithms that detect shared Netflix or Spotify accounts and Amazon Go stores keep on booming.

A native of Bogota, Colombia, Dr. Juan Claudio Nino became infatuated with science and math as a young child. Gravitating to something “less nerdy” than physics, he chose to study mechanical engineering along with his best friend. It was a line from his professor that solidified his choice of study, “If you were to put a piece of steel into a grinding stone and paid attention to the sparks it generates, you could tell the amount of carbon content in that steel.” Now delving into the land of Artificial Intelligence, Dr. Nino helped invent a microchip that operates like a brain. The chip consists of pathways that mimic electric pathways inside the actual brain.” TRANSCRIPT: Intro: 0:20 Inventors and their inventions. Welcome to Radio Cade, the podcast from the Cade Museum for Creativity and Invention in Gainesville, Florida. The museum is named after James Robert Cade who invented Gatorade in 1965. My name is Richard Miles. We’ll introduce you to inventors and the things that motivate them. We’ll learn about their personal stories, how their inventions work, and how their ideas get from the laboratory to the marketplace. Richard Miles: 0:39 This morning we’re going to be talking about the brain again and my guest today on Radio Cade, Dr. Juan Claudio Nino. Welcome, Juan. So Juan, you’re originally from Bogota, Colombia. So before we talk about your research and the company and how you’re doing, what was it like growing up in Columbia? What were you like as a kid? What were your interests and sort of how did you gravitate towards the research you’re doing now? Dr. Juan: 1:00 Sure. Thank you for having me. I was born in Colombia, in Bogota, and it was a very nice environment that we had. Early on, I was very interested in how things worked, so I would sometimes be very social, but a lot of times I would actually be mesmerized by things and be absorbed by whatever I was playing with, and fairly quickly I became very interested in math and sciences. My father was an engineer, a mechanical engineer, so he was also a professor or a teacher and I would always help him grading and just adding up the different questions and get a total for his exams early on and in school I also became very, I guess, infatuated with sciences and math. Our big influence of that was that the school itself essentially highlighted or promoted those students that were actually good academically basically And this was your score in Bogota? I did all the way to high school in and then my bachelor’s in Colombia. So essentially the school was a big influence in the sense that I guess the popular or the important or highlighted students were those academically. So I said, well, okay, let’s be good academically. That’s basically it. And again, my, my mom and my father also very diligent and responsible and so on. And so the combination of those two fairly quickly pointed me towards stem type of fields and I was going to go to physics, back to high school, going to college, but my best friend at the time said now physics is too nerdy if you will. Um, why don’t we do mechanical engineering? Richard Miles: 2:58 Oh that’s definitely not nerdy, right? Dr. Juan: 3:00 Exactly. It was I guess a sidestep there. So I did, I took multiple classes in, in Columbia, a bachelors is a five year program, so you’d take a lot of credits and I took four courses in materials and I did well but not as good as in my other classes. So I said, well I want to stick to this because I’m not quite good at it I guess. And materials was amazing. I had a, an excellent professor, Professor Tovar and it was very interesting. What really captured me was one session, it was part of a book, but obviously I heard it first from the professor. He was saying that if you were to put a piece of steel into a grinding stone and you pay attention to the sparks that it would generate, you could tell the amount of carbon content in that steel. Richard Miles: 3:53 Just from the sparks. Dr. Juan: 3:54 Just from the spark, and to me to this day, it’s so amazing. So if this part’s brighter or it flies further away from the polishing stone, you can compare two different steels and essentially magically without any additional tool, you can tell, oh this is 10 40 or a 10 20 which are denominations of steels. And to me that was fantastic. You could see something in let’s say iron, natural, real life with our senses and infer something that is atomistically how much carbon is there in a material. And from there I was obsessed with that. I wanted to know more of in material science, what we call structure property relationships. And that’s exactly what this was. I can tell how much amount of element is there is something by looking at its properties, in this case the sparkle. And from there I decided that I wanted to do a PhD in material science. I applied for a PhD in the US, which is sort of a typical path, if you will. If you want to do a PhD, you look north. It’s easier than to look towards Europe. And I applied to the top schools at the time. Some rejected me obviously because who is this guy from Colombia? And then Penn state gave me the chance, Professor Randall, and from there on I’d finished my PhD and I knew I wanted to be a professor. In fact, that’s what I did my PhD for is to be a professor and then came to Florida. Richard Miles: 5:27 So now you’re working in artificial intelligence and how the brain processes information. So a bit of a switch there from it seems like from material science, maybe not. Dr. Juan: 5:38 Well, yes, artificial intelligence may seem a bit off from what I usually do, it is precisely because I’m always open to new ideas and new things that we ended up working in this area. But it is also very materials related because the basis of what we’re doing in artificial intelligence is creating a new architecture or hardware where we have a new material. It’s called a memristor. It’s just a material that changes its resistance depending on the current or voltage that it has experienced in the past. So it’s almost like a memory resistance and that’s why we call it memristor. So it is some material that enables this new way of connecting information, if you will, and then is not just the material itself but how we process it. So while most of the AI applications you see today are either run on the cloud or running on servers, they’re not in your device. So for example, if you tried to use Siri or any other type of application like that, if you don’t have internet, Siri can not necessarily process where you’re trying to do, cannot access the information it needs to connect to the servers. What we’re trying to do is to create an on device, artificial intelligence chip. And for that it needs to be much more efficient than what it currently is. Richard Miles: 7:16 Juan you mentioned that what you’re working on is so much similar to traffic flowing through a city down roads for traffic lights tell me exactly how that works. Dr. Juan: 7:24 Yeah, so it’s on the basis of network architectures if you will. So the way the brain works and intelligent networks work is by parallel distribution, by having hubs that take care of certain processes before they communicate to either a larger hub or other centers. So an analogy that I like to use to explain a little bit of what we are doing is that of traffic. So if you’re in a small town, you have small roads that can connect you from any point A to point B within that small city, let’s say. And you can have multiple ways of going around. You can take main avenue or first, second, going east, west, whatever, and everybody has their favorite path, if you will. If you need to go between one city to another city, then you need to take the highway. So that’s a dedicated avenue for, higher volume, higher speed, and limits the amount of pathways. If you want to go from Gainesville to Orlando, it’s highly unlikely, you know, you’re not going to take the interstate, right? So we’re trying to do something similar with trying to create a network of conductors, if you will, that has this sort of what we call small world connectivity. That very quickly allows you to go from point a from point B within a small hub, but then fairly quickly and efficiently connect to a distant hub. Say you take the highway, you don’t go through small town to small town, to small town to eventually get to Orlando, let’s say. So we’re doing something like that. Part of the uniqueness of what we do is that we have this ability of creating this network that connects information, if you will, along the same ways like the roads do. And that means that we need a different way of connecting information and processing, meaning cars going faster and more efficiently from point A to point B or connecting point A to point B. Richard Miles: 9:32 So this is really revolutionary, if I understand this correctly, because it seems like the direction that we’ve been going steadily is this increased connectivity and the necessity, as you said, to connect to the Internet in order to be able to pull all of that processing power. But now it seems like we can do that from a hardware based or if what you’re describing works that would lessen our dependence on networks. So are we going to eventually go back the other direction where everything is hardware based or is it still going to be some sort of residual capacity to do say processing on a small piece of hardware or will it still requires some degree of connectivity to the Internet. Dr. Juan: 10:11 So there’s an obvious benefit to being able to connect to the web, to do data information or accessing rather than to store that on a chip. But the example of face recognition to unlock your cell phone that works without Internet. So there is an internal processor just to take care of that process, right? So if you make that more easily accessible, faster, less power consumption and that doesn’t need the Internet for other applications, then your reliance on connecting to the web is lower. So one example could be a device, like a cell phone that could be at a medical point of care and takes a picture of let’s say a disease expressing itself on the skin or something like that. And instead of having to do connect to the web to analyze it or to check with a database to see what are the potential illnesses or diseases, he can do it on the device. So if you think of low resource environments where connectivity to the web is not there, this could be one application. The interesting thing is that if we have these new, more powerful architecture, then everything else that we’re doing right now in artificial intelligence that connects to the web can also be executed. So it is revolutionary, but we don’t need to reinvent the wheel. We can adapt everything that we do in connected to the cloud or to the web, change the algorithms of course and do it on a chip. But there will always be a benefit to connecting to the Internet. Richard Miles: 11:54 So I’m just guessing here, this sounds like it’s got some commercial potential and as you know, as everyone knows, good ideas don’t just sell themselves. So you have formed a company along with the Jack Kendall, the co-inventor of Rain Neuromorphics. Tell us a bit about how that’s been just forming a company and running the company and about getting this idea to market or attracting investors, that sort of thing. How has that path been? Dr. Juan: 12:21 It’s been very interesting, humbling and complex, let’s put it that way. This is I think my fourth or fifth set of patents, but this is sort of the first one that has true traction and it all started with the usual path of an invention disclosure within the University, the OTL, Office of Technology Licensing. They do very good marketing approach to reach out to potential investors or technical people interested in the different patents. And on this one we got a call from an Australian investor, Gabriele Govinda and he liked that idea at the time was Jack and I and he gave us initial angel type of funding to start doing some work and we were able to get our wheels running and then later on our current CEO Gordon Wilson came in and taught us how to do it properly. So learning how to do a company when I’m a professor fully dedicated to research and Jack was just graduating with the brains of the operation being the CTO, Chief Technology Officer. But once Gordon came in, then we restructured. We are doing very well. We completed our series A of funding. We have moved this company to California and we have done a number of prototypes. We are also part of the Y Combinator program in California and the future is bright. Richard Miles: 14:00 Juan is there a particular sector or application that you think will be the first to use the technology or apply it or at this point have you not decided or has the market not really figured out exactly how this would be used. Initially we, Dr. Juan: 14:14 We have a number of avenues and strategies. One that we are looking at is a network of sensors because we have a low powers system that can communicate as needed. So for example, you could have the chip that is collecting data all the time, but it can process the data in real time. Then decide what information is worth sending out either as an alarm or an interesting point to actually transmit instant transmitting all the time. So that makes it an intelligent network. Robotics is a big area as well. And for finance, market prediction is quite relevant at this stage of the different prototypes that we have. We’re looking heavily at serious prediction and initial prototypes that will come commercially available will be sort of the stage of developer kits such that the AI community and different companies can start working on our hardware. And the reason I say that is because this new hardware needs new sets of algorithms. So I was talking earlier about adapting what we’re currently doing to this new hardware. So for that we all really need the help from other companies that are already working with all technology. Let’s say this new technology hardware wise and then adapting or blending what they’re doing on the cloud to not do it on the chip. Richard Miles: 15:46 Juan, is this a crowded field right now the field of sensors using AI Algorithms to collect and transmit data. How many people are out there or entities that are doing this that you’re racing against the clock to get to market. Dr. Juan: 15:59 So of course AI is very hot right now. Most of the investment and big buzz is on applications. So essentially there’s plenty of companies writing codes and using AI to solve xyz problem. We can do that. But our differentiator is precisely that or a game changer is the hardware we have a radically different design and architecture that can do the same that everybody else can do. And the companies that run these algorithms and solutions based on machine learning and artificial intelligence can use, and we have in house programmers and algorithm developers that can also do that, but we’re the only ones that have this chip. So that is the differentiator. But yeah, the area’s certainly quite hot and there’s lots of startups, lots of interests and investors, but we have traction precisely because we have a different hardware. Richard Miles: 17:01 So Juan, thanks very much for walking me through that. One of the things I like best about this podcast is I get to ask really smart people to explain really difficult things for me, I feel like I’ve had a private tutorial session here, but thanks very much for being on the podcast and hope to have you back. Dr. Juan: 17:15 Thank you so much.

Dr. Dawn Marie Graham, Ph.D. is one of the nation’s leading career coaches. She is the career director for the MBA program for executives at the Wharton School, where she counsels business leaders on making strategic career choices. A licensed psychologist and former corporate recruiter, Dr. Dawn Graham hosts the SiriusXM Radio’s popular weekly call-in show, Career Talk and is a regular contributor to Forbes.   Key Takeaways: [1:33] Marc welcomes you to Episode 92 of the Repurpose Your Career podcast.[1:45] If you’re enjoying this podcast, Marc invites you to share this podcast with like-minded souls. [1:50] Please subscribe on CareerPivot.com, iTunes, Google Play, Podbean, Overcast, TuneIn, Spotify, or Stitcher. Share it on social media, write an honest iTunes review, or tell your neighbors and colleagues so Marc can help more people. [2:09] Next week, Marc will start the next career pivot evaluation series with “Can Sarah Repurpose Her Career?” Sarah (not her real name) is employed, a closet creative, and a structured anarchist. Her personality is quite interesting. Marc has seen all aspects of her personality in other clients, but not in this combination. [2:34] This week, Marc will interview Dawn Graham, author of Switchers: How Smart Professionals Change Careers — and Seize Success. Marc reads Dr. Graham’s bio. [3:20] Marc welcomes Dr. Dawn Graham to the podcast. Members of Marc’s online community had recommended her book to Marc and he invited her to the podcast. A lot of what Marc read in the book is pretty closely aligned to his own thoughts. [3:40] Dawn wrote the book because the traditional career ladder has gone away. No longer do people start out in a career and retire from that career. It’s an exciting time. Dawn covers some of the reasons people find themselves ready to switch. [4:19] No one has a background in the new hybrid jobs, so transferable skills are critical, such as strategic thinking, working with customers, building relationships, and being innovative. [4:46] The timing has never been so ripe to move into these different opportunities. The challenge is that the hiring process has not caught up with the new jobs. AI Algorithms to match skill sets to jobs are biased toward traditional candidates. They look for the right titles or years of experience in a very specific area. [5:24] Job seekers are more excited than ever to do different things, but the market is not in a position to see the career switchers because they’re not getting through the applicant tracking systems or other online technology. [5:40] The book, Switchers, helps people bypass the technology and get in front of the decision makers. Marc always tells people their next job is going to come from a relationship, not a tracking system. [6:05] In a tracking system, you are an unknown, competing with people who are known, either through a referral or as an internal candidate or a boomerang employee. Most people (70% or 80%) get their job through networking. The conversations of daily life, or knowing someone, can introduce you to information about your perfect opening. [6:59] Marc recently posted about the five things you will never know about the hiring process at your target company. [7:30] There are lots of obstacles between the online job searcher and the decision maker at the target company that the applicant does not even realize. When a job posting comes out, you don’t even know if the company has a pre-identified internal candidate but are just following procedures or if it’s an obsolete posting or a scam. [8:22] Provided the job posting is real, an applicant system will kick you out if your resume is not formatted in the way it’s used to reading. You may be thinking you’re a perfect match but your application has not gone to the hiring manager. [8:47] Between the time you applied and the application got to the hiring manager, someone internal may have referred another candidate who has leapfrogged the system and already in the second interview with the hiring manager. [9:03] Applying online is really a risk. Marc gives a case study. [9:44] The hiring manager is often not skilled in the hiring process. They have a full-time job in another department and are only called on to manage hiring a couple of times a year. Oftentimes, job descriptions are not written in a way that aligns with performance measures. The whole process has a lot of places where it can fall apart before you even get in the door. [10:13] If you get a referral from someone inside the company who knows the culture, knows what’s going on in the company, puts your resume in front of somebody, and actually connects you to that person, you will likely get a phone call so you can prove yourself. [10:38] Dawn includes psychological principles in the book important for understanding the process. A lot of the hiring process is about psychology. It’s important to know what’s happening in the mind of the hirer. They will make the decision emotionally and then justify it with data. You want to understand that so you can build a strategy. [11:49] Hiring managers are concerned about losses. Loss aversion is common to all humans. You are angrier about a loss than happy about a gain. As a switcher, the hiring manager sees you as a risk. You haven’t done this job before. So you have to come up with a strategy to put their mind at ease. [12:34] The job search process is a game of elimination, not of selection. There are hundreds of applicants. Hiring managers look for red flags, including being a switcher, a job hopper, or going to an unfavored school. It can be silly things. They want easy outs to narrow down the pile. You can put together a strategy to end up in the final round. [13:36] For applicants over 50, one of the key things is getting over the fact that they’re older. Hiring managers are looking for easy outs, even if they don’t know they’re being biased. No job descriptions ask for 30+ years of experience. Do not give that number away early. Don’t show the year of your degree. List experience back only 20 years. [14:51] With your age-free materials, work on getting a referral. A lot of bias can be overcome with a strong referral. A referral is somebody trusted by the hiring manager to put applicants before them that fit with the culture and fits the approach the team takes and gives them an endorsement. Now the hiring manager has to prove them wrong. [15:43] The safest candidate you can hire is an internal hire. The second safest candidate is an external candidate with an employee referral. Marc thinks that the safe candidates make up 80% to 90% of all hiring, so, go get the referral. [16:00] Dawn talks about how to build a network. As an introvert, Dawn has constantly worked on expanding her network. One easy step is to make sure your spouse, children, neighbor, and people where you attend services all know, in a sentence or two, very clearly the value you add in the professional world. [17:05] If the people who care about you most and support you are able to do this, they can be your ambassadors to share your information with others and bring opportunities to your attention. They can’t do this if they can’t explain to others what you do. Make sure the people closest to you know clearly what you do. [17:36] Marc and Dawn discuss strong ties and weak ties. One overlooked weak tie is your children’s friends’ parents. They may have a completely different network. When Marc went to teach high school, his most powerful connector was his chiropractor. [18:05] Your chiropractor, dentist, hairdresser, etc., see a lot of people from a lot of areas. They could tell you of opportunities or even introduce you to somebody who could open the door to new opportunities. Don’t discount any connection. [18:52] Don’t overlook dormant contacts you may have lost touch with. Old neighbors, old co-workers, old roommates — there are so many places where we’ve crossed paths with people that we can reconnect with, even on social media. Rebuilding a trusted relationship tends to be pretty quick. [19:44] Marc gives a case study of an introverted sales guy in the packaged food industry. Marc told him to reach out to everyone he had worked with in the last 20 years. He got a job as an account manager from somebody he had worked with 15 years earlier. [20:55] Dawn comments on why people are hesitant to reach out. They know it makes sense, and they don’t have challenges speaking to people, but when they look for employment, they feel vulnerable asking for help. They can ask for a restaurant referral but are nervous to ask about a job referral.[21:46] Be curious. Don’t start talking about a job. Ask how they are doing and what they are up to after these years. Talk about mutual friends. Re-establish your connection. When you meet, then you can talk about your situation and they will want to do what they can to help you. Ask for advice, insights, and recommendations (AIR). [22:37] Whether are not you are promoting your brand, people brand you by how they observe you and your behaviors. Be conscious of the perceptions people have of you. Understand your audience in a job search and how your accomplishments and strengths can start to solve their problems. Make that your brand. [24:14] Your brand needs to be in light of what your audience is looking for. There are also intangibles, such as likability. It is critical to your brand. [24:30] If you’re a likable person, you can get away with a lot more inside your organization than if you’re not. Venture capitalists are going to be more likely to invest in your new business if you’re likable than if you’re not. People are looking for likability as part of your brand. Put your phone away in a conversation. Take time to ask questions. [25:08] Following through on your commitments is critical as well. [25:24] There is a chapter in the book about fairness. Dawn talks about it. A lot of people who are unsuccessful in switching careers have been chasing fairness instead of reality. Don’t take unfairness personally. Learn the rules and play within them. Create a strategy to get around bias. Don’t get stuck in the applicant tracking system. [27:06] When you get hired as a switcher, somebody with the traditional background is going to say that’s not fair. It’s not a level playing field so you have to learn to get around the situations that can bog you down to get the advantage. [27:41] Marc notes that older workers are scared of rejection, or they don’t want to brag so they don’t put themselves out there as they must. He refers to Alexander Buschek’s journey to rebrand himself into a digital transformation thought leader in Episode 72. Marc told Alexander over and over again to be bold. [28:22] Each time Alexander took a little step forward, he got positive feedback. Marc kept pushing him. Now he speaks all over Europe at conferences. He is the digital transformation guy. [28:50] Chances are, if you’re worried that you’re bragging, you’re probably not. If you are going to be humble, remember that the guy behind you will not, so you will lose out. There are ways to advocate for yourself that don’t feel as though you’re bragging. Dawn recommends talking about how you were rewarded or recruited, in terms of others. [29:45] It may be tempting to speak in terms of “we” and “our team.” That tends to masks your contribution. People know you were on a team but talk about the things you did. Use “glide” questions by stating an accomplishment and asking how that might work relevant to what the company is doing. [30:57] Dawn gives her connection info. Marc thanks Dawn for being on the podcast. [31:49] Dawn has a very similar view on changing careers as Marc has. Marc suggests you pick up her book and give it a read. [33:07] Check back next week, when Marc will start the next career pivot evaluation series with “Can Sarah Repurpose Her Career?”   Mentioned in This Episode: Careerpivot.com Switchers: How Smart Professionals Change Careers — and Seize Success, by Dawn Graham “5 Things You Will Never Know About the Hiring Process,” by Mark Miller CareerPivot.com/Episode-72 Alexander Buschek Dr. Dawn Graham on LinkedIn DrDawnOnCareers.com SiriusXM Channel 132 “Career Talk” Dr. Dawn on Careers on iTunes   Please pick up a copy of Repurpose Your Career: A Practical Guide for the 2nd Half of Life, by Marc Miller and Susan Lahey. The paperback, ebook, and audiobook formats are available. When you have completed reading the book, Marc would very much appreciate your leaving an honest review on Amazon.com. The audio version of the book is available on the iTunes app, Audible, and Amazon.   Marc has the paid membership community running on the CareerPivot.com website. The website is in production. Marc is contacting people on the waitlist. Get more information and sign up for the waitlist at CareerPivot.com/Community. Marc has five initial cohorts of 10 members in the second half of life. Those in the initial cohorts are guiding him in this endeavor. Shortly, Marc will start recruiting members for the sixth cohort who are motivated to take action and give Marc input on what he should produce next. Ask to be put on the waiting list to join a cohort. This is a unique paid membership community where Marc will offer group coaching, special content, mastermind groups, branding sessions and, more importantly, a community where you can seek help.   CareerPivot.com/Episode-92 Show Notes for this episode. Please subscribe at CareerPivot.com to get updates on all the other happenings at Career Pivot. Marc publishes a blog with Show Notes every Tuesday morning. If you subscribe to the Career Pivots blog, every Sunday you will receive the Career Pivot Insights email, which includes a link to this podcast. Please take a moment — go to iTunes, Stitcher, Google Play, Podbean, TuneIn, Overcast through the Overcast app, or Spotify through the Spotify app. Give this podcast an honest review and subscribe! If you’re not sure how to leave a review, please go to CareerPivot.com/review, and read the detailed instructions there.   Email Marc at Podcast@CareerPivot.com. Contact Marc, and ask questions at Careerpivot.com/contact-me You can find Show Notes at Careerpivot.com/repurpose-career-podcast. To subscribe from an iPhone: CareerPivot.com/iTunes To subscribe from an Android: CareerPivot.com/Android Careerpivot.com

Recorded live from Akerman's Labor and Employment Law Summit, Matt welcomes Kelly Trindel, Head of I/O Science + Diversity Analytics at pymetrics, former EEOC Chief Analyst/Director of Research and Investigative Analysis, to discuss how algorithms and artificial intelligence will continue to revolutionize workplaces, including in the areas of sourcing/recruiting/hiring, the use of wearable technology to track employee movement and performance, and the potential rise of robots in the workplace; and why, over time, AI might help employers (and society) adapt to these fast-moving developments. http://www.akerman.com/podcasts/disclaimer/workedup.html

William Andregg ushers me into the cluttered workshop of his startup Fathom Computing and gently lifts the lid from a bulky black box. Inside, green light glows faintly from a collection of lenses, brackets, and cables that resemble an exploded telescope. It's a prototype computer that processes data using light, not electricity, and it's learning to recognize handwritten digits. In other experiments the device learned to generate sentences in text.

Women in AI is a biweekly podcast from RE•WORK, meeting with leading female minds in AI, Deep Learning and Machine Learning. We will speak to CEOs, CTOs, Data Scientists, Engineers, Researchers and Industry Professionals to learn about their cutting edge work and technological advancements, as well as their impact on AI for social good and diversity in the workplace.

ANOTHER DIGITAL CITIZEN Episode 93- ASMR Triggers AI Algorithms On This Episode Of ANOTHER DIGITAL CITIZEN: Fro and Luke will be talking about News of the Week, Trond Tells the Truth, A.S.M.R (Autonomous Sensory Meridian Response), Big Brother UK: Week 6, WWE Battleground Predictions, and Another Digital Review of “Wish Upon”. —You can email us at anotherdigitalcitizen@gmail.com.— Also, Subscribe on Itunes today!—