Gary Marcus dispels some current notions about AI advancements and suggests ways to improve machine learning. This talk was filmed at TEDxCERN. Watch the full talk here: https://youtu.be/IBoJcDlqmo0 Start each day with short, eye-opening ideas from some of the world’s greatest TEDx speakers. Hosted by Atossa Leoni, TEDx SHORTS will give you the chance to immerse yourself in surprising knowledge, fresh perspectives, and moving stories from some of our most compelling talks. Less than 10 minutes a day, everyday. All TEDx events are organized independently by volunteers in the spirit of TED’s mission of ideas worth spreading. To learn more about the TEDx SHORTS podcast, the TEDx program, or give feedback on this episode, please visit http://go.ted.com/tedxshorts.
Gary Marcus, Founder & CEO of Robust AI (previously Founder & CEO of Geometric Intelligence acq. by Uber), spoke with FirstMark’s Matt Turck at a fireside chat at Data Driven NYC in September 2019. They spoke on a number of topics covering AI & ML, including about Gary’s brand new book (which actually launched at this event) that warns AI is heading in the wrong direction for a number of reasons. He argued we need to stop looking for silver bullets because cognition is complicated. Data Driven NYC is a monthly event covering Big Data and data-driven products and startups, hosted by Matt Turck, partner at FirstMark Capital.
Yoshua Bengio and Gary Marcus on the best way forward for AI Moderated by Vincent Boucher ORIGINAL LIVE STREAMING | Monday, 23 December 2019 from 6:30 PM to 8:30 PM (EST) at Mila: https://www.facebook.com/MontrealAI/videos/498403850881660/ Transcript of the AI Debate: https://medium.com/@Montreal.AI/transcript-of-the-ai-debate-1e098eeb8465 Gary Marcus, slides : https://montrealartificialintelligence.com/aidebate/slidesmarcus.pdf Yoshua Bengio, slides : https://montrealartificialintelligence.com/aidebate/slidesbengio.pdf AI Debate Official Web Page: https://montrealartificialintelligence.com/aidebate/ To take part in the conversation on social media: #AIDebate Agenda : 6h30m00s PM EST : Opening Address | Vincent Boucher — 3 min. 6h33m00s PM EST : Opening statement | Gary Marcus — 20 min. 6h53m00s PM EST : Opening statement | Yoshua Bengio — 20 min. 7h13m00s PM EST : Response | Gary Marcus — 7.5 min. 7h20m30s PM EST : Response | Yoshua Bengio — 7.5 min. 7h28m00s PM EST : Interview | Vincent Boucher : Yoshua Bengio & Gary Marcus — 15 min. 7h43m00s PM EST : Public Questions | Yoshua Bengio & Gary Marcus — 22,5 min. 8h05m30s PM EST : Int’l Audience Questions | Yoshua Bengio & Gary Marcus — 22,5 min. 8h28m00s PM EST : Closing Remarks | Vincent Boucher — 2 min By MONTREAL.AI | Kévin Ka, Patrick Taillon & Mila The General Secretariat of MONTREAL.AI Email: firstname.lastname@example.org
Gary Marcus is a researcher whose work focuses on language, biology, and the mind. Marcus is a Professor in the Department of Psychology at New York University. December 9th, 2017
Support my work on Patreon: https://www.patreon.com/whatsai A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code. Full list on Medium: https://medium.com/towards-artificial-intelligence/2020-a-year-full-of-amazing-ai-papers-a-review-c42fa07aff4b The GitHub repository: https://github.com/louisfb01/Best_AI_paper_2020 ►Subscribe to my newsletter: http://eepurl.com/huGLT5 Interested in computer vision? Here is my top 10 CV research papers of 2020: https://youtu.be/CP3E9Iaunm4 AI Debate 2 – Hosted by Montreal AI: https://youtu.be/VOI3Bb3p4GM Chapters: 0:00 Hey! Tap the Thumbs Up button and Subscribe. You’ll learn a lot of cool stuff in 2021, I promise. 0:28 2020, A year in review 9:06 Where do you want AI to go? #StateOfAI #ArtificialIntelligence #AI2020
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The world we live in is wildly complex and open-ended. Despite the excitement surrounding AI, building an artificial intelligence that rivals or exceeds human levels in dealing with that world is far more difficult than we once believed. How can we create AI worthy of our trust when solving real-world problems — in our hospitals, on our roadways, and in our homes? Speaker Gary Marcus is former Professor of Psychology at NYU and Founding CEO at Geometric Intelligence, Inc. His new book, cowritten with NYU computer scientist Ernest Davis, is “Rebooting AI: Building Artificial Intelligence We Can Trust.” Eric Yao, Wonderfest Technical Director, recorded this presentation on September 25, 2019, at BookShop West Portal in San Francisco. Home
It’s been 7 years since my first interview with Gary Marcus and I felt it’s time to catch up with him. Gary is the youngest Professor Emeritus at NYU and I wanted to get his contrarian views on the major things that have happened in AI as well as those that haven’t happened. Prof. Marcus is an interesting interviewee not only because he is an expert in the field but also because he is a skeptic on the current approaches and progress towards Artificial General Intelligence but an optimist that we will eventually figure it all out. During this 90 min interview with Gary Marcus we cover a variety of interesting topics such as: Gary’s interest in the human mind, natural and artificial intelligence; Deep Mind’s victory in Go and what it does and doesn’t mean for AGI; the need for Rebooting AI; trusting AI and the AI chasms; Asimov’s Laws and Bostrom’s paper-clip-maximizing AI; the Turing Test and Ray Kurzweil’s singularity timeline; Mastering Go Without Human Knowledge; closed vs open systems; Chomsky, Minsky and Ferrucci on AGI; the limits of deep learning and the myth of the master algorithm; the problem of defining (artificial) intelligence; human and machine consciousness; the team behind and the mission of Robust AI. As always you can listen to or download the audio file above or scroll down and watch the video interview in full. To show your support you can write a review on iTunes, make a direct donation or become a patron [More]
Debate between Yann LeCun and Gary Marcus at NYU, October 5 2017. Moderated by David Chalmers. Sponsored by the NYU Center for Mind, Brain and Consciousness.
Debate between Facebook’s head of AI, Yann LeCun and Prof. Gary Marcus at New York University. The debate was moderated by Prof. David Chalmers. Recorded: Oct 5th, 2017
Gary Marcus was a speaker at EmTech Digital 2016 in San Francisco. To find out more about MIT Technology Review’s events, please visit: http://events.technologyreview.com/ Facebook: https://www.facebook.com/technologyreview/ Twitter: https://twitter.com/techreview
For nearly half a century, artificial intelligence always seemed as if it just beyond reach, rarely more, and rarely less, than two decades away. Between Watson, Deep Blue, and Siri, there can be little doubt that progress in AI has been immense, yet “strong AI” in some ways still seems elusive. In this talk, I will give a cognitive scientist’s perspective on AI. What have we learned, and what are we still struggling with? Is there anything that programmers of AI can still learn from studying the science of human cognition?
Source: https://www.podbean.com/media/share/pb-ak3yt-abeee1 Artificial Intelligence: The Coming Storm Michael Harrison – 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.
Advancements in artificial intelligence are changing how we analyze and process information. But these advances fall short when compared with the ingenuity and creativity of an average three-year old. In his talk, psychologist and neuroscientist Gary Marcus compares advancements in AI to the resilience of the human brain on tasks such as common sense and real-time evaluations. “Gary F. Marcus wants to build a human mind from scratch. His research at New York University combines psychology, linguistics, and molecular biology to map the inner workings of the brain and deconstruct common sense scientifically. “No modern machine can match the ingenuity of any three-year-old,” Marcus said. “A deep understanding of the human mind will radically transform society.” In addition to teaching, Marcus is a best-selling author and founder of the company Geometric Intelligence, which is redefining the boundaries of machine learning. By applying a deep understanding of the human mind to artificial intelligence, Marcus hopes to revolutionize the capabilities of modern technology and radically transform society.” This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx
Gary F. Marcus is a research psychologist whose work focuses on language, biology, and the mind. Marcus is a Professor in the Department of Psychology at New York University and Director of the NYU Infant Language Center. Recorded: May 2016
Gary Marcus (NYU) discusses neuroscience, deep learning, and the urgent need for an enriched set of computational primitives March 24, 2018, Cognitive Neuroscience Society annual conference, Boston http://www.cogneurosociety.org/
We have more data than ever before, by many orders of magnitude, yet “strong” artificial intelligence remains elusive. Some notorious difficult problems like speech recognition and the game of Go have recently seen spectacular advances, yet no machine can understand language as well as three-year-old child. Gary Marcus explores the gap between what machines do well and what people do well and what needs to happen before machines can match the flexibility and power of human cognition. Subscribe to O’Reilly on YouTube: http://goo.gl/n3QSYi Follow O’Reilly on Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Google: http://plus.google.com/+oreillymedia
Subscribe to O’Reilly on YouTube: http://goo.gl/n3QSYi Follow O’Reilly on Twitter: http://twitter.com/oreillymedia Facebook: http://facebook.com/OReilly Google: http://plus.google.com/+oreillymedia
Gary Marcus, CEO at Geometric Intelligence, presented at FirstMark’s Data Driven NYC on January 19, 2016. Marcus’ talk focused on ways A.I. is stuck. Geometric Intelligence is redefining the boundaries of machine learning through innovative, patent-pending techniques that learn more efficiently from less data. Data Driven NYC is a monthly event covering Big Data and data-driven products and startups, hosted by Matt Turck, partner at FirstMark. FirstMark is an early stage venture capital firm based in New York City. Find out more about Data Driven NYC at http://datadrivennyc.com and FirstMark Capital at http://firstmarkcap.com.
Distinguished Lecture: Gary Marcus Artificial General Intelligence: Why Aren’t We There Yet? Artificial General Intelligence: Why Aren’t We There Yet? All purpose, all-powerful AI systems, capable of catering to our every intellectual need, have been promised for six decades, but thus far still not arrived. What will it take to bring AI to something like human-level intelligence? And why haven’t we gotten there already? Scientist, author, and entrepreneur Gary Marcus (Founder and CEO of Geometric Intelligence, recently acquired by Uber) explains why deep learning is overrated, and what we need to do next to achieve genuine artificial intelligence.