In this episode, Gary discussed the recent HIMSS conference with John Glaser, Ph.D., Executive-in-Residence, Harvard Medical School, Kaveh Safavi, M.D., J.D., Senior Managing Director, Accenture, and Suchi Saria, Ph.D., Founder and CEO, Bayesian Health. They discussed the utility of in-person meetings, as well as the many cutting edge technologies that will be influencing healthcare systems in the near future. For More Info about The Gary Bisbee Show Visit: Suchi Saria, Ph.D., is the Founder and CEO of Bayesian Health, the John C. Malone Associate Professor of computer science, statistics, and health policy, and the Director of the Machine Learning and Healthcare Lab at Johns Hopkins University. She has published over 50 peer-reviewed articles with over 3000 citations and was recently described as “the future of 21st century medicine” by The Sloan Foundation. Her research has pioneered the development of next-generation diagnostic and treatment planning tools that use statistical machine learning methods to individualize care. At Bayesian Health, Dr. Saria is leading the charge to unleash the full power of data to improve healthcare, unburdening caregivers and empowering them to save lives. Backed by 21 patents and peer-reviewed publications in leading technical and clinical journals, Bayesian leverages best-in-class machine learning and behavior change management expertise to help health organizations unlock improved patient care outcomes at scale by providing real-time precise, patient-specific, and actionable insights in the EMR. Dr. Saria earned her M.Sc. and Ph.D. from Stanford University working with Professor Daphne Koller. She visited Harvard University as an NSF Computing [More]
Charles Powell interrupts @Lex Fridman and Oriol Vinyals, the Lead for deep learning and research director at Deep Mind. Here I give My thoughts on a method I believe will be one way to achieve artificial general intelligence. //This is a double upload because I messed up and uploaded the wrong video that wasn’t fully edited. (I’m still learning) See if you can spot the differences
Oriol Vinyals, who leads DeepMind’s deep learning team, talks about AlphaCode, his group’s code-writing language model, and DeepMind’s winding road toward artificial general intelligence.
Gary Marcus, NYU, Thursday, April 21st, 4:30m PM Towards a Proper Foundation for Artificial General Intelligence Large pretrained language models like BERT and GPT-3 have generated enormous enthusiasm, and are capable of producing remarkably fluent language. But they have also been criticized on many grounds, and described as “stochastic parrots.” Are they adequate as a basis for general intelligence, and if not, what would a better foundation for general intelligence look like? Gary Marcus is a scientist, best-selling author, and entrepreneur. He is Founder and CEO of Robust.AI, and was Founder and CEO of Geometric Intelligence, a machine learning company acquired by Uber in 2016. He is the author of five books, including The Algebraic Mind, Kluge, The Birth of the Mind, and The New York Times best seller Guitar Zero, as well as editor of The Future of the Brain and The Norton Psychology Reader. He has published extensively in fields ranging from human and animal behavior to neuroscience, genetics, linguistics, evolutionary psychology and artificial intelligence, often in leading journals such as Science and Nature, and is perhaps the youngest Professor Emeritus at NYU. His newest book, co-authored with Ernest Davis, Rebooting AI: Building Machines We Can Trust aims to shake up the field of artificial intelligence. Predict is organised by Creme Global. We provide data and models to decision makers.
Is creativity under attack from the rise of artificial intelligence? Who better to answer that question than Ai-Da, the world’s first artist robot that has made headlines for its incredible paintings and sculptures – not least a portrait of the Queen to celebrate the Platinum Jubilee earlier in 2022. Ai-Da Robot gives evidence at the House of Lords as part of its A Creative Future inquiry, examining potential challenges for the creative industries and looking at how they can adapt as tech advances. #AI #Robot #SkyNews SUBSCRIBE to our YouTube channel for more videos: Follow us on Twitter: Like us on Facebook: Follow us on Instagram: Follow us on TikTok: For more content go to and download our apps: Apple: Android Sky News videos are now available in Spanish here/Los video de Sky News están disponibles en español aquí Sky News videos are also available in German here/Hier können Sie außerdem Sky News-Videos auf Deutsch finden: To enquire about licensing Sky News content, you can find more information here:
The future of education is likely to be teachers made from Artificial Intelligence that adapt to each of its students needs and abilities. This would massively improve schools all over the world and democratize education. People would be allowed to learn as fast as possible any topic and ability they can think of. —– Every day is a day closer to the Technological Singularity. Experience Robots learning to walk & think, humans flying to Mars and us finally merging with technology itself. And as all of that happens, we at AI News cover the absolute cutting edge best technology inventions of Humanity. —– TIMESTAMPS: 00:00 The Future of Education 01:15 An omnipotent Algorithm 04:25 Creating a Teacher AI 06:56 Free Education for everyone 08:04 Last Words —– #teacher #education #ai
Emad Mostaque is the founder and CEO of Stability AI, the company behind Stable Diffusion. Emad joins Stability AI’s recently announced Executive Chair of the board of directors Jim O’Shaughnessy to discuss the future of AI, the benefits of open source software, and much more. Important Links: – Stability AI ( – Stable Diffusion Launch Announcement ( – Stability AI’s Twitter ( – Emad’s Twitter ( – Jim’s announcement as Executive Chair ( Show Notes: [00:00:00] – Start [00:02:55] – Main Podcast [00:05:05] – The open vs closed AI debate [00:09:18] – How will open AI lead to better outcomes for AI safety? [00:15:42] – How will AI allow us to to solve previously unsolvable problems? [00:23:28] – How AI can transform education [00:34:29] – AI and storytelling [00:44:30] – What is ‘clean’ data? [00:49:34] – Can AI technology increase IQs across the entire world? [00:52:48] – The future: Jobs, AI alignment and the panopticon [01:21:46] – Why closed AI is a bad business model [01:12:57] – Anticipating and defending against future problems [01:21:46] – What two ideas would you like to give everyone in the world? Books Mentioned: – The WEIRDest People in the World; by Joseph Henrich
This theolocution has been released early in an ad-free audio version for TOE members at Sponsors: – Drink Trade: for 30% off – Ro Man: for 20% off first order – Masterworks: *New* TOE Website (early access to episodes): Patreon: Crypto: PayPal: Twitter: Discord Invite: iTunes: Pandora: Spotify: Subreddit r/TheoriesOfEverything: LINKS MENTIONED: – Michael Levin (Solo TOE podcast): – Michael Levin Theolocution With Chris Fields & Karl Friston: – Joscha Bach Theolocution With John Vervaeke: – Joscha Bach Theolocution With Donald Hoffman: – Joscha Bach (Solo TOE podcast): TIMESTAMPS: 00:00:00 Introduction 00:01:55 Bach and Levin speak about each other’s work 00:03:34 The cell functions as a neuron 00:07:15 Software as a control pattern 00:10:55 Disciplinary boundaries in academia 00:14:38 The perceptron is a “toy model” of the brain 00:18:44 How do you identify yourself as a researcher? 00:20:10 The benefits of podcasts vs. academia 00:30:04 Beliefs of Bach’s and Levin’s that have drastically changed 00:38:54 Memory moves outside the brain structure 00:45:06 Engrams and memory storage 00:47:30 The implications of transferring memory between species 00:55:25 Weissman’s barrier 00:59:25 The notion of “competence” (Bach’s and Levin’s largest insight) 01:12:10 Virtualization for unreliable hardware 01:16:02 Defining “competence” 01:22:35 Bach’s issues with goals (for and against teleology) 01:27:34 Planarian goals and explicitly encoded instructions 01:34:55 Navigation in “Morphic Space” 01:36:11 One species’ birth defect can be another’s benefit 01:37:42 The “Intelligence Trap” and bias [More]
Anima Anandkumar of Caltech and NVIDIA. This talk was given on April 1, 2022. Autonomous robots need to be efficient and agile, and be able to handle a wide range of tasks and environmental conditions. This requires the ability to learn good representations of domains and tasks using a variety of sources such as demonstrations and simulations. Representation learning for robotic tasks needs to be generalizable and robust. I will describe some key ingredients to enable this: (1) robust self-supervised learning (2) uncertainty awareness (3) compositionality. We utilize NVIDIA Isaac for GPU-accelerated robot learning at scale on a variety of tasks and domains. 00:48 Generlizable Learning for Robotics 01:53 Trinity of Generalizable AI 05:08 Physical World if Continuous 07:08 Motivating Problem in Robotics 08:35 State estimation through PDE observer 09:59 Grid-free learning for continuous phenomena 12:32 Neural Operator 15:02 Fourier Transform for global convolution 16:06 FNO: Fourier Neural Operator 18:34 First ML method to solve fluid flow 25:42 Nvidia Modulus 29:08 Operational Space Control (OSC) 38:54 Reducing Supervision and enhancing robustness 47:06 Conclusion Learn more about Stanford Online’s Robotics Program and courses here: Check out our 30 Day FREE Trial here at Team Black Diamond, and also get a Free MMA DVD just for trying a Free Class or Private Lesson. Nothing to Sign or Buy, Call: 401-308-3229
About Daniel Daniel Faggella is Founder and Head of Research at Emerj Artificial Intelligence Research. Daniel is a globally recognized speaker on the use-cases and ROI of artificial intelligence in business. Called upon by organizations like the World Bank, the United Nations, INTERPOL, and global pharmaceutical and banking companies, Daniel helps business and government leaders navigate the competitive landscape of AI capabilities, and build strategies that win. Daniel’s AI predictions and research has been featured in TechCrunch, Inc, Xconomy, Forbes, and more. His research is referenced in Harvard Business Review, the World Economic Forum, MIT Technology Review, and more. An entrepreneur since the age of 20, Daniel founded and sold two previous companies before Emerj – including a martial arts academy he started at 21 years old to pay for graduate school, and an Inc 5000 eCommerce business. Daniel is a Brazilian Jiu Jitsu black belt, winning the title of 2011 national champion (IBJJF Pan America Games). Daniel graduated with a masters degree in Positive Psychology from UPENN, focusing his thesis research on skill development and skill acquisition. Daniel’s writing about the business and moral implications of AI and emerging technologies have been featured in publications such as: TechCrunch, Boston Business Journal, VentureBeat, Xconomy, VICE Motherboard, the World Economic Forum, PEW Research and more. Today We Talked About Dan’s past What is Artificial Intelligence Research? Ethics AI (Artificial Intelligence) in general Neuro Link What can AI do? and What can’t AI do? Understanding the AI Strategy in your business AI [More]
In this latest episode of Stories in AI, Daniel Faggella, CEO of Emerj AI Research, sits down with me to talk about the ROI enterprises are seeing from AI investment. As a detailed researcher of the industry, he offers advice for communicating the value that AI can bring to specific businesses and how the value created can be measured. Give it a listen! Chapters: 00:00 Introduction 00:35 Daniel’s Story in AI 04:00 Skill Acquisition and ML 05:05 Enterprise AI Today 10:21 Roadmap for AI Development 14:20 AI ROI 18:50 Measurable, Strategic, & Capability ROI 26:30 AI & Business Podcast 31:15 Communicating AI Value 39:15 Wrap Up Daniel’s Bio: Founder and Head of Research at Emerj Artificial Intelligence Research, Daniel Faggella is an internationally recognized speaker on the use-cases and ROI of artificial intelligence in business. Emerj tracks and maps what’s possible and what’s working in artificial intelligence in order to help leaders develop winning AI strategies. Emerj’s AI Opportunity Landscapes are the industry benchmark of artificial intelligence ROI across sectors. Daniel is regularly called upon by global enterprises in financial services and security, and has spoken for many of the largest and most reputable organizations, including the World Bank, the United Nations, the OECD, INTERPOL, and more. Learn More: AI in Business Podcast: Website: LinkedIn: Twitter: A note about our sponsor: Experian is the world’s leading global information services company. We empower our clients to manage their data with confidence and build trusted relationships with consumers, [More]
Daniel Faggella is the Founder and Head of Research at Emerj Artificial Intelligence Research, a publishing and market research company that helps leaders achieve a return on investment from their artificial intelligence strategies. He is an internationally recognized speaker on AI ROI and has spoken for the World Bank, United Nations, OECD, Interpol, and many more. Daniel is also the Founder of the Inc. 5000 e-commerce company, Science of Skill, which he sold for seven figures in 2017. The company focused on e-commerce and e-learning in the self defense and self protection space. Outside of work, Daniel is a Brazilian Jiu-Jitsu national champion and black belt. Here’s a glimpse of what you’ll learn: • Daniel Faggella defines the purpose of artificial intelligence (AI) in business environments • Should you start implementing AI at your company? • Why not every AI strategy is created equal • Daniel’s advice for small businesses looking to adopt AI • The inevitable hurdles of bringing an AI investment to life and how to overcome them • Three kinds of AI ROI: measurable, strategic, and capability • What industries are best suited — and worst suited — for AI? • Daniel talks about his personal and professional motivations and his current goals In this episode… With the ever-evolving digital transformation of the business world, finding accurate and relevant information to measure success can be difficult. As more and more companies implement artificial intelligence strategies, the question remains: should your business adopt AI for a greater return [More]
Tony chats AI, Machine Learning and the right (and wrong) ways for insurance executive to think about Artificial Intelligence and its potential implementations. Daniel Faggella: Emerj: Audio Only Version:
Researchers around the world are developing methods to enhance the safety, security, explainability, and beneficiality of “narrow” artificial intelligence. How well will these methods transfer into the forthcoming field of artificial superintelligence (ASI)? Or will ASI pose radically new challenges that will require a different set of solutions? Indeed, what hope is there for human designers to keep control of ASI when it emerges? Or is the subordination of humans to this new force inevitable? These are some of the questions addressed in this London Futurists webinar by Roman Yampolskiy, Professor of Computer Science at the University of Louisville. Dr. Yampolskiy is the author of the book “Artificial Superintelligence: A Futuristic Approach” and the editor of the book “Artificial Intelligence Safety and Security”. See The meeting was introduced and moderated by David Wood, Chair of London Futurists. For more information about this event and the speaker, see The survey on “The Rise and Implications of Artificial General Intelligence (AGI)”, mentioned during the discussion, can be accessed (until 22nd February) at
Protocol Labs founder Juan Benet speaks with Nick Bostrom, a Swedish-born philosopher with a background in theoretical physics, computational neuroscience, logic, and artificial intelligence, as well as philosophy. He is also the most-cited professional philosopher in the world under the age of 50. Breakthroughs in Computing is a speaker series focused on how technology will shape society in the next 5-25 years. Join us in person or sign up for future livestreams this week:
Underground Q&A session with Nick Bostrom ( on existential risks and artificial intelligence with the Oxford Transhumanists (recorded 3rd November 2011).
🐱‍👤LEARN HACKING 🐱‍👤 BUY My Hacking Courses 🐱‍👤 1. HACKSTARS: 2. Tech Master Hacking Course: 3. Quick Hack: Buy with your Debit/Credit/Netbanking Quick Hack: 299 Rs Tech Master: 299 Rs HACKSTARS: 299 Rs Or (Ya fir) Get Hacking Course With Paytm: _________________________________________________________________ Hello Friends In this video, I will talk about computers and the human brain. We all know the human brain is smarter than computers but we also know that we are slower in terms of calculation and computing. Why we are slower in calculations? How we can become faster? What are the possibilities behind this whole thing. Watch this video to know more about this topic. My New Facebook Page: Twitter: @iamasagar Instagram: My Collar Mic: My Camera Lens: My Smartphone: My Graphics Card: ======================================================
In episode 24 of the podcast, the topic is: Emerging Interfaces for Human Augmentation. Our guest is Pattie Maes, Professor at the MIT Media Lab. In this conversation, we talk about Augmenting people instead of using or making smart machines, AI summers and AI winters, parallels between AI and expert systems and why we didn’t learn our lessons, enabling people to perform better through fluid, interactive, immersive and wearable systems that are easy to use, how lab thinks about developing new form factors, and much more. After listening to this episode, check out MIT Media Lab as well as Pattie Maes’s social profile: MIT Media Lab: @medialab (Twitter): (web) Pattie Maes:  Listen now full podcast episode 🎙
Dave Waters once said predicting the future isn’t magic, its artificial intelligence.When it comes to machine learning, you may have heard of it as a subset of AI, but there is more to it. Join our FREE masterclass: What is Artificial Intelligence? Artificial intelligence (AI) is intelligence demonstrated by machines, as opposed to natural intelligence displayed by animals including humans. Leading AI textbooks define the field as the study of “intelligent agents”: any system that perceives its environment and takes actions that maximise its chance of achieving its goals.Some popular accounts use the term “artificial intelligence” to describe machines that mimic “cognitive” functions that humans associate with the human mind, such as “learning” and “problem solving”, however, this definition is rejected by major AI researchers. What is Machine Learning? Machine learning (ML) is the study of computer algorithms that can improve automatically through experience and by the use of data.It is seen as a part of artificial intelligence. Machine learning algorithms build a model based on sample data, known as training data, in order to make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms are used in a wide variety of applications, such as in medicine, email filtering, speech recognition, and computer vision, where it is difficult or unfeasible to develop conventional algorithms to perform the needed tasks. The following discussion will interest you if you are looking forward to picking a career path between the two by deriving a thorough understanding on how [More]
👉For business inquiries: ✅ Instagram: You are on the PRO Robots channel and in this video we present information technology news. The world’s largest exhibition of robots and technologies of the future GITEX 2022 was held in Dubai. Revolutionary developments, innovative technologies, futuristic solutions, robots and unmanned cars. We have chosen all the most interesting things for you and compiled them into one video. Watch to the end and subscribe to the channel. Let’s fly! 00:00 Intro 00:28 500 companies at the exhibition 00:59 Ameca Robot 01:34 XTurizmo Limited Edition Flying Motorcycle 02:01 The largest flying vehicle 02:56 Flying cars Skydrive 03:29 Cadillac InnerSpace autonomous electric car 04:13 Surgical Microscope 05:29 EndiaTX’s PillBot 06:06 Mini Robot 06:21 Promobot at the show 07:03 Robosculptor 07:32 Cruise Origin 07:47 Taxi Microbus 08:12 Thermite RS3 robot fireman from Howe & Howe 08:42 FlyCam’s Neo Octocopter 09:16 Swiss-Mile 09:56 Mwafeq, a four-legged robot 10:22 Mobile robots OttoBot by Ottonomy 10:45 Acer Spatial labs 11:08 Pepper robots #prorobots #robots #robot #futuretechnologies #robotics More interesting and useful content: ✅ Elon Musk Innovation ✅Future Technologies Reviews ✅ Technology news #prorobots #technology #roboticsnews PRO Robots is not just a channel about robots and future technologies, we are interested in science, technology, new technologies and robotics in all its manifestations, science news, technology news today, science and technology news 2022, so that in the future it will be possible to expand future release topics. Today, our vlog just talks about complex things, follows the [More]
Thumbnail Inspiration: Credit: Many people are scared of artificial intelligence or AI, and it is not hard to see why! The advances made in that field of technology are mind-boggling, to say the least! One such scary outcome of AI is Google’s AI, which, before it was switched off, ominously revealed one thing billions of people have spent a lifetime trying to discover; the purpose of life! What did Google’s AI say the purpose of life is? Can AI truly become smarter than us? What does AI becoming more intelligent than humans mean? In this video, we dive deep into Google’s Artificial Intelligence and what it revealed was the purpose of life before being switched off! Disclaimer Fair Use: 1. The videos have no negative impact on the original works. 2. The videos we make are used for educational purposes. 3. The videos are transformative in nature. 4. We use only the audio component and tiny pieces of video footage, only if it’s necessary. DISCLAIMER: Our channel is purely made for entertainment purposes, based on facts, rumors, and fiction. Copyright Disclaimer under section 107 of the Copyright Act 1976, allowance is made for “fair use” for purposes such as criticism, comment, news reporting, teaching, scholarship, education, and research. Fair use is a use permitted by copyright statutes that might otherwise be infringing.