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For full forum click here: https://youtu.be/ucic8cuEd6A INSTAGRAM: https://www.instagram.com/veritasforum FACEBOOK: https://www.facebook.com/veritasforum SUBSCRIBE: https://www.youtube.com/subscription_center?add_user=VeritasForum Find this and many other talks at http://www.veritas.org/engage Over the past two decades, The Veritas Forum has been hosting vibrant discussions on life’s hardest questions and engaging the world’s leading colleges and universities with Christian perspectives and the relevance of Jesus. Learn more at http://www.veritas.org, with upcoming events and over 600 pieces of media on topics including science, philosophy, music, business, medicine, and more!
In this talk, Michael will take us on a historical journey through the past and probable future of artificial intelligence. We’ll learn about: The old way vs. new way of thinking about AI The different types of AI Standard deep learning applications and sample use cases Considerations when designing for AI and robotics PSA: Don’t Fear Skynet
Michael Kanaan has helped a wide swath of decision-makers better grasp the nature of AI. He has a knack for expressing complex topics in clear, accurate and succinct ways and many of us in the national security community have already had the pleasure of hearing from him in person or in conferences. His book, T-Minus AI: Humanity’s Countdown to Artificial Intelligence and the New Pursuit of Global Power, provides context and insights in a way that can help concerned citizens and business leaders better grasp the issues of AI. He gives us all a call to action to learn more because as he makes clear in the book, the countdown to AI is actually over. In this OODAcast we explore a bit of what makes Kanaan tick, and dive into his motivations for this book. We discuss what citizens should know about AI and what business leaders can do to prepare their companies for success in the coming age. You will find Michael to be very plain spoken. When asked to define AI for us, he approached it in a way we have never heard before, starting with a reminder that on the Internet CATS are everywhere so he wants to use that as an acronym/nemonic. CATS is a reminder to always consider that when a person is talking about AI they may be referring to a Concept, and Application or a Techniques. So when you hear someone talk about AI, be sure to know which the speaker is referring [More]
Professor Michael Jordan gives insights into the future of AI and machine learning, specifically which fields of work could scale into billion-dollar industries while harnessing data science and machine learning as core business models. → To watch more videos like this, visit https://learnai.odsc.com/ ← Michael Irwin Jordan is an American scientist, professor at the University of California, Berkeley and researcher in machine learning, statistics, and artificial intelligence. He is one of the leading figures in machine learning. Science magazine reported him as the world’s most influential computer scientist in 2016. Professor Michael Jordan spoke at ODSC West 2019 in San Francisco. Do You Like This Video? Share Your Thoughts in Comments Below Visit our website and choose the nearest ODSC Event to attend and experience all our Trainings and Workshops: https://odsc.com/ Sign up for the newsletter to stay up to date with the latest trends in data science: https://opendatascience.com/newsletter/ Follow Us Online! • Facebook: https://www.facebook.com/OPENDATASCI/ • Instagram: https://www.instagram.com/odsc/ • Blog: https://opendatascience.com/ • Linkedin: https://www.linkedin.com/company/open-data-science/ • Learning Videos: https://learnai.odsc.com #ODSC #AI #MachineLearning
Can you tell the difference between AI and a human?, with Michael Wooldridge Subscribe to Big Think on YouTube ►► https://www.youtube.com/c/bigthink/videos Up next ►► Walter Isaacson on Alan Turing, Intelligent Machines and “The Imitation Game” https://youtu.be/rz_99PBycSo The limits to computing are the limits to your imagination. Yet when computers first made their debut, the general public was taken back by its capabilities when it came to mathematics and computing. People started to ask ‘Are machines really intelligent?” Fed up with this question and disbelief in computing, one of the first serious thinkers of AI, Alan Turing, decided to create a machine to get the public to stop asking if computers are intelligent or not. This was called the Turing test. While using this machine during a Turing test, a person would type out a question on a computer, and either a human or machine would answer back. If a machine could fool the user into thinking there was a human on the other side of the screen, Turing wanted those users to accept that the machine was doing something intelligent. Although now there are Turing test competitions worldwide, Alan Turing never expected anyone to actually take this test or use this technology. Read the video transcript: https://bigthink.com/videos/turing-test/ ———————————————————————————- About Michael Wooldridge: Michael Wooldridge is a professor of Computer Science and Head of the Department of Computer Science at the University of Oxford. Since earning his Ph.D. in AI, he has published more than 350 scientific articles on the subject. Mike [More]
📚 Order Michael Sandler’s “Automatic Writing Experience” book: ➡️ https://amzn.to/3qULECz 🌠 Join Michael’s School of Mystics! ➡️ https://www.inspirenationuniversity.com/offers/wsp7xTHE?coupon_code=MYSTICAL60 ❤️ Join The INner Circle YouTube membership ➡️ https://www.youtube.com/channel/UCVoOM-cCEPbJ1vzlQAFQu1A/join ✅ Get behind the scenes access! ✍️ Automatic Writing 101 – Thurs, Sept 16th, 2021 👉Turn your journaling into channeling! ➡️ Reserve your spot! https://www.inspirenationuniversity.com/automatic-writing-experience ✅ Learn to connect with your inner wisdom and spirit guides ✅ Get access to 40+ video lessons + Monthly LIVE calls 🌟 Private Coaching with Michael Sandler ➡️ http://www.meetme.so/michaelsandler ✅ Request a FREE 15-minute strategy session! 🌟 Visit our website ➡️ https://InspireNationShow.com 🌟 Listen to the podcast: Apple Podcasts ➡️ http://www.tinyurl.com/InspireNation Spotify ➡️ https://open.spotify.com/show/6au6lb42bvjeQzh3W9tQFD Google Podcasts ➡️ https://podcasts.google.com/search/inspire%20nation 🌟Follow us: Facebook ➡️ https://www.facebook.com/InspireNationShow Instagram ➡️ http://www.instagram.com/InspireNationLive Twitter ➡️ http://www.twitter.com/inspire7billion Get smarter at any age! If you’ve ever wanted to have a sharper mind with greater focus, better memory, more patient, creativity and resilience, then this interview with Dr. Michael Merzenich, the “father of brain plasticity” is for you! Learn how to exercise your mind and get it sharper than ever. Learn how to keep your mind strong into your golden years, and for seniors, how you can roll back the clock, and get a smarter brain at any age. And for parents, key tips to help your kids grow up smarter, and more engaged than ever! Dr. Michael Merzenich is the pioneer in brain plasticity, or the ability to change the brain. According to him, the brain is not fixed as we’ve been taught, but can work [More]
Michael’s talk discusses how AI is already in your everyday life, in ways you may not realize. He explains some myths and concerns while preparing you to look at AI in a different way than you likely do today. Michael L. Littman is a Computer Science Professor at Brown University, studying machine learning and decision making under uncertainty. He is co-director of Brown’s Humanity Centered Robotics Initiative, a Fellow of the Association for the Advancement of Artificial Intelligence, and has earned multiple awards for his teaching and research. An enthusiastic performer, Michael has had roles in numerous community theater productions and a TV commercial. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx
AI research endured years of failure and frustration before new techniques in deep learning unleashed the swift, astonishing progress of the last decade. Michael’s recent book A Brief History of Artificial Intelligence explores what we can learn from this history, and examines where we are now and where the field is going. We discuss: * Why the Cyc project’s aim to encode ‘all human knowledge’ (!!) into a functioning AI got stuck, despite years of intense effort. ** What OpenAI’s GPT-3 language-generating AI system really knows about making an omelette. ***Why the next generation of AI systems may have to combine symbolic and non-symbolic approaches. You can find NOUS on Twitter @NSthepodcast
Listen to the Science Salon Podcast # 118 (audio-only): http://bit.ly/ScienceSalon118 In the popular imagination, superhuman artificial intelligence is an approaching tidal wave that threatens not just jobs and human relationships, but civilization itself. Conflict between humans and machines is seen as inevitable and its outcome all too predictable. In this groundbreaking book, distinguished AI researcher Stuart Russell argues that this scenario can be avoided, but only if we rethink AI from the ground up. Russell begins by exploring the idea of intelligence in humans and in machines. He describes the near-term benefits we can expect, from intelligent personal assistants to vastly accelerated scientific research, and outlines the AI breakthroughs that still have to happen before we reach superhuman AI. He also spells out the ways humans are already finding to misuse AI, from lethal autonomous weapons to viral sabotage. If the predicted breakthroughs occur and superhuman AI emerges, we will have created entities far more powerful than ourselves. How can we ensure they never, ever, have power over us? Russell suggests that we can rebuild AI on a new foundation, according to which machines are designed to be inherently uncertain about the human preferences they are required to satisfy. Such machines would be humble, altruistic, and committed to pursue our objectives, not theirs. This new foundation would allow us to create machines that are provably deferential and provably beneficial. Shermer and Russell also discuss: • natural intelligence vs. artificial intelligence • “g” in human intelligence vs. G in AGI (Artificial [More]
Michael I Jordan is a professor at Berkeley, and one of the most influential people in the history of machine learning, statistics, and artificial intelligence. He has been cited over 170,000 times and has mentored many of the world-class researchers defining the field of AI today, including Andrew Ng, Zoubin Ghahramani, Ben Taskar, and Yoshua Bengio. This conversation is part of the Artificial Intelligence podcast. This episode is presented by Cash App. Download it & use code “LexPodcast”: Cash App (App Store): https://apple.co/2sPrUHe Cash App (Google Play): https://bit.ly/2MlvP5w INFO: Podcast website: https://lexfridman.com/ai Apple Podcasts: https://apple.co/2lwqZIr Spotify: https://spoti.fi/2nEwCF8 RSS: https://lexfridman.com/category/ai/feed/ Full episodes playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4 Clips playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOeciFP3CBCIEElOJeitOr41 EPISODE LINKS: (Blog post) Artificial Intelligence — The Revolution Hasn’t Happened Yet: https://hdsr.mitpress.mit.edu/pub/wot7mkc1 OUTLINE: 0:00 – Introduction 3:02 – How far are we in development of AI? 8:25 – Neuralink and brain-computer interfaces 14:49 – The term “artificial intelligence” 19:00 – Does science progress by ideas or personalities? 19:55 – Disagreement with Yann LeCun 23:53 – Recommender systems and distributed decision-making at scale 43:34 – Facebook, privacy, and trust 1:01:11 – Are human beings fundamentally good? 1:02:32 – Can a human life and society be modeled as an optimization problem? 1:04:27 – Is the world deterministic? 1:04:59 – Role of optimization in multi-agent systems 1:09:52 – Optimization of neural networks 1:16:08 – Beautiful idea in optimization: Nesterov acceleration 1:19:02 – What is statistics? 1:29:21 – What is intelligence? 1:37:01 – Advice for students 1:39:57 – Which language is more beautiful: English or French? CONNECT: [More]
Michael holds a Bachelor of Science degree with a major in theoretical physics minor in quantum chromodynamics from the Massachusetts Institute of Technology. He earned distinction in his master’s program in aerospace systems architecture at the University of Southern California. He was selected as the TRW Space Technologies Black Engineer of the Year. He also is active as a filmmaker, and had one of his projects debut at the Cannes International Film Festival. Michael holds a Bachelor of Science degree, with a major in Theoretical Physics, minor in Quantum Chromodynamics from the Massachusetts Institute of Technology. He earned distinction in his Master’s program in Aerospace Systems Architecture at the University of Southern California. He was selected as the TRW Space Technologies Black Engineer of the Year. He is also creative and active as a filmmaker and had one of his projects debut at the Cannes International Film Festival.
from 2018-07-24 Michael Harrison on Artificial Intelligence, The Coming Storm TEDx Blinn College Original Video is here: http://www.youtube.com/watch?v=c5Nb_Y9iYxI Please note: no copyright infringement intended. Copyright holders, a message of objection or removal request left at the link below and I will gladly remove this video. I DO NOT MONETIZE any videos. https://www.youtube.com/channel/UC-J86Qsmtz86ofixERH1ZNg/discussion My intent is to promote your work, so I include the link to your original uploaded video.
This presentation was recorded at GOTO Copenhagen 2017 http://gotocph.com Michael Green – Machine Learning Expert and Artificial Intelligence Evangelist ABSTRACT In a world where deep learning and other massively scalable perception machines are at our disposal, allowing us to build amazing applications, the time is now ripe to move beyond the concept of pure perception and into broader Artificial Intelligence (AI). The path towards AI goes through what’s missing in many applications today; Inference. Only when we combine Inference machines and Perception machines […] Download slides and read the full abstract here: https://gotocph.com/2017/sessions/175 https://twitter.com/gotocph https://www.facebook.com/GOTOConference http://gotocon.com #DataScience #ML #AI #Blackwood
Michael holds a Bachelor of Science degree with a major in theoretical physics minor in quantum chromodynamics from the Massachusetts Institute of Technology. He earned distinction in his master’s program in aerospace systems architecture at the University of Southern California. He was selected as the TRW Space Technologies Black Engineer of the Year. He also is active as a filmmaker, and had one of his projects debut at the Cannes International Film Festival. Michael holds a Bachelor of Science degree, with a major in Theoretical Physics, minor in Quantum Chromodynamics from the Massachusetts Institute of Technology. He earned distinction in his Master’s program in Aerospace Systems Architecture at the University of Southern California. He was selected as the TRW Space Technologies Black Engineer of the Year. He is also creative and active as a filmmaker and had one of his projects debut at the Cannes International Film Festival. “Artificial Intelligence: The Coming Storm” This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx