Gary Marcus, NYU, Robust.ai 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.
The Center for Research on Foundation Models (CRFM), a new initiative of the Stanford Institute for Human-Centered Artificial Intelligence (HAI), hosted the Workshop on Foundation Models from August 23-24, 2021. The workshop convened experts and scholars reflecting a diverse array of perspectives and backgrounds to discuss opportunities, challenges, limitations, and societal impact of these emerging technologies. Speakers in this session: Introduction Fei-Fei Li, Sequoia Professor, Computer Science Department, Stanford University; Denning Co-Director, Stanford Institute for Human-Centered Artificial Intelligence Foundation Models Percy Liang, Associate Professor of Computer Science, Stanford University
We have completed this four weeks journey of building the foundations of Artificial Intelligence with passionate learners. This journey is just a start of taking you further on deeper understanding of concepts, hands-on projects, and datasets. A special closed session with Dr.Shahid will be conducted on 4th Oct, 2020 who has successfully completed the course and attempted quizzes of topics. Do share your course feedback here: https://forms.gle/2iQKoo8bASoNf2U46 We will love to bring more learning material. Keep Learning Stay tuned for upcoming phase “Models of Machine Learning” a hands on journey!
Dr. Joscha Bach talks with the Art of Inquiry students about his work. Attributions: Oscilloscope Music: Jerobeam Fenderson, 2017 (https://www.youtube.com/channel/UCECl4aNz5hvuRzW5fgCOHKQ) Nightingale and Canary: Animation by Andy Thomas, 2015 (https://www.youtube.com/watch?v=NtIHJSRQvvk) Motion capturing animation of martial arts: Tobias Gremmler, 2016 (https://www.youtube.com/channel/UCqkyIq9QxKHMh4Z6lKafjUg)
Keynote by Joscha Bach (AI Foundation) at 1E9 THE_CONFERENCE on July 11th 2019 in Munich. Today’s AI research is highly successful in automating statistics. It becomes increasingly similar to intelligence, when we understand it as the ability to create models. But how can machines become sentient, and make sense of themselves, and their relationship to the world? This question relates to how our own minds work, and how we can make sense of our own nature. Beyond giving us more powerful and autonomous tools, AI may well turn out the most productive perspective on what it means to be a mind.