Yoshua Bengio is one of the most prominent names in deep learning. What does he think about the future of artificial intelligence? This video was produced by The Tesseract Academy (http://tesseract.academy) We help decision makers understand data science, AI and Blockchain 📈 FOLLOW US ON INSTAGRAM https://www.instagram.com/thetesseractacademy/ 🤖 FOLLOW US ON TWITTER https://twitter.com/tesseractacade1
Ray Kurzweil explores how and when we might create human-level artificial intelligence at the January 2017 Asilomar conference organized by the Future of Life Institute. The Beneficial AI 2017 Conference: In our sequel to the 2015 Puerto Rico AI conference, we brought together an amazing group of AI researchers from academia and industry, and thought leaders in economics, law, ethics, and philosophy for five days dedicated to beneficial AI. We hosted a two-day workshop for our grant recipients and followed that with a 2.5-day conference, in which people from various AI-related fields hashed out opportunities and challenges related to the future of AI and steps we can take to ensure that the technology is beneficial. For more information on the BAI ‘17 Conference: AI Principles Beneficial AI 2017 A Principled AI Discussion in Asilomar
Talk at Czech Institute of Informatics, Robotics, and Cybernetics (https://www.ciirc.cvut.cz/) on May 21st, 2018 Abstract: AI technology has entered the mainstream of business and society, but there is still a large gap between the current crop of task-specific „narrow AI“ tools and the Artificial General Intelligences (AGIs) envisioned by futurists and SF authors. To get from here to true AGI will require advances in (at least) four different aspects. First, it will require coordination of different AI agents at various levels of specificity into an overall complex, adaptive AI network — which is the problem addressed by the SingularityNET blockchain-based AI framework. Second, it will require bridging of the algorithms used for low-level intelligence such as perception and movement (e.g. deep neural networks) with the algorithms used for high-level abstract reasoning (such as logic engines). Third, it will require embedding of AI systems in physical systems capable of interacting with the everyday human world in richly nuanced ways — such as the humanoid robots being developed at Hanson Robotics. Fourth, it will require the development of more sophisticated methods of guiding abstract reasoning algorithms based on history and context (an area lying at the intersection of AGI and automated theorem proving). Fortunately,while none of them are actually simple, all of these aspects of the AGI problem are topics of active research by outstanding teams around the world, making it plausible that AGI at the human level and beyond will be achieved during our lifetimes. Bio: Dr. Ben Goertzel is one [More]
——————Support the channel———— Patreon: https://www.patreon.com/thedissenter SubscribeStar: https://www.subscribestar.com/the-dissenter PayPal: paypal.me/thedissenter PayPal Subscription 1 Dollar: https://tinyurl.com/yb3acuuy PayPal Subscription 3 Dollars: https://tinyurl.com/ybn6bg9l PayPal Subscription 5 Dollars: https://tinyurl.com/ycmr9gpz PayPal Subscription 10 Dollars: https://tinyurl.com/y9r3fc9m PayPal Subscription 20 Dollars: https://tinyurl.com/y95uvkao ——————Follow me on——————— Facebook: https://www.facebook.com/thedissenteryt/ Twitter: https://twitter.com/TheDissenterYT Anchor (podcast): https://anchor.fm/thedissenter RECORDED ON NOVEMBER 20th 2020. Dr. Stuart Russell is a Professor of Computer Science at the University of California, Berkeley, where he also holds the Smith-Zadeh Chair in Engineering. He founded and leads the Center for Human-Compatible Artificial Intelligence there. His research covers a wide range of topics in artificial intelligence including machine learning, probabilistic reasoning, knowledge representation, planning, real-time decision making, multitarget tracking, computer vision, computational physiology, global seismic monitoring, and philosophical foundations. His current concerns include the threat of autonomous weapons and the long-term future of artificial intelligence and its relation to humanity. Dr. Russell is co-author of the most popular textbook in the field of artificial intelligence: Artificial Intelligence: A Modern Approach used in more than 1,400 universities in 128 countries. His most recent book is Human Compatible: Artificial Intelligence and the Problem of Control. In this episode, we talk about artificial intelligence. We start with what intelligence is, and what would human-level AI look like. We get into what is worrisome about advanced AI systems, and the issue with value alignment. We discuss different instances where AI is already impacting our lives, and where it will progress in the future, including the impact it will have on the job market. We also [More]
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
Yoshua Bengio, Yann LeCun, Demis Hassabis, Anca Dragan, Oren Etzioni, Guru Banavar, Jurgen Schmidhuber, and Tom Gruber discuss how and when we might create human-level AI. The Beneficial AI 2017 Conference: In our sequel to the 2015 Puerto Rico AI conference, we brought together an amazing group of AI researchers from academia and industry, and thought leaders in economics, law, ethics, and philosophy for five days dedicated to beneficial AI. We hosted a two-day workshop for our grant recipients and followed that with a 2.5-day conference, in which people from various AI-related fields hashed out opportunities and challenges related to the future of AI and steps we can take to ensure that the technology is beneficial. For more information on the BAI ‘17 Conference: AI Principles Beneficial AI 2017 A Principled AI Discussion in Asilomar
AI pioneer Yoshua Bengio explores paths forward to human-level artificial intelligence at the January 2017 Asilomar conference organized by the Future of Life Institute. The Beneficial AI 2017 Conference: In our sequel to the 2015 Puerto Rico AI conference, we brought together an amazing group of AI researchers from academia and industry, and thought leaders in economics, law, ethics, and philosophy for five days dedicated to beneficial AI. We hosted a two-day workshop for our grant recipients and followed that with a 2.5-day conference, in which people from various AI-related fields hashed out opportunities and challenges related to the future of AI and steps we can take to ensure that the technology is beneficial. For more information on the BAI ‘17 Conference: AI Principles Beneficial AI 2017 A Principled AI Discussion in Asilomar
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