It has been over three decades since the statistical revolution overtook AI by a storm and over two decades since deep learning (DL) helped usher the latest resurgence of artificial intelligence (AI). However, the disappointing progress in conversational agents, NLU, and self-driving cars, has made it clear that progress has not lived up to the promise of these empirical and data-driven methods. DARPA has suggested that it is time for a third wave in AI, one that would be characterized by hybrid models – models that combine knowledge-based approaches with data-driven machine learning techniques. Joining us on this panel discussion is polymath and linguist Walid Saba – Co-founder ONTOLOGIK.AI, Gadi Singer – VP & Director, Cognitive Computing Research, Intel Labs and J. Mark Bishop – Professor of Cognitive Computing (Emeritus), Goldsmiths, University of London and Scientific Adviser to FACT360. Moderated by Dr. Keith Duggar and Dr. Tim Scarfe Pod version:—Dr–Walid-Saba–Gadi-Singer–Prof–J–Mark-Bishop-Panel-discussion-e145bt0 Introduction [00:00:00] Bishop Intro: [00:03:09] Gadi Intro [00:05:06] Walid Intro [00:06:37] Gadi Opening Statement [00:08:30] Bishop opening statement [00:12:21] Walid Opening Statement [00:16:08] Round Robin Kickoff [00:18:49] Self-supervised categories as vectors [00:25:57] The context of understanding electric sheep? [00:28:12] Most unique human knowledge is not learnable [00:37:16] Two modes of learning: by observation and by deduction [00:41:09] Hybrid directions [00:46:24] Monte Carlo tree search and discrete overlays [00:51:44] What’s missing from artificial neural networks? [00:54:40] Closing Statement: Bishop [01:02:45] Closing Statement: Gadi [01:06:09] Closing Statement: Walid [01:08:48] Rapid Round: When will we have AGI? [01:10:55] #machinelearning [More]
Chris Bishop discusses the progress and opportunities of artificial intelligence research. Subscribe for weekly science videos: The last five years have witnessed a dramatic resurgence of excitement in the goal of creating intelligent machines. Technology companies are now investing billions of dollars in this field, new research laboratories are springing up around the globe, and competition for talent has become intense. In this Discourse Chris Bishop describes some of the recent technology breakthroughs which underpin this enthusiasm, and explores some of the many exciting opportunities which artificial intelligence offers. Chris Bishop is the Laboratory Director at Microsoft Research Cambridge and is a professor of computer science at the University of Edinburgh. He has extensive expertise in artificial intelligence and machine learning. This Discourse was filmed at the Royal Institution on 28 October 2016. Subscribe for regular science videos: The Ri is on Twitter: and Facebook: and Tumblr: Our editorial policy: Subscribe for the latest science videos: