Semantics, Deep Learning, and the Transformation of Business by Steve Omohundro, Ph.D.
Deep learning is likely to have a big impact on business. McKinsey predicts that AI and robotics will create $50 trillion of value over the next 10 years. Over $1 billion of venture investment has gone to 250 deep learning startups over the past year. Deep learning systems have recently broken records in speech recognition, image recognition, image captioning, translation, drug discovery and other tasks. Why is this happening now and how is it likely to play out? We review the development of AI and the pendulum swings between the "neats" and the "scruffies". We describe traditional approaches to semantics through logics and grammars and the new deep learning vector semantics. We relate it to Roger Shepard's cognitive geometry and the structure of biological networks. We also describe limitations of deep learning for safety and regulation. We show how it fits into the rational agent framework and discuss what the next steps may be.
About our speaker: Steve Omohundro has been a scientist, professor, author, software architect, and entrepreneur doing research that explores the interface between mind and matter. He has degrees in Physics and Mathematics from Stanford and a Ph.D. in Physics from U.C. Berkeley. He was a computer science professor at the University of Illinois at Champaign-Urbana and cofounded the Center for Complex Systems Research. He published the book “Geometric Perturbation Theory in Physics”, designed the programming languages StarLisp and Sather, wrote the 3D graphics system for Mathematica, and built systems which learn to read lips, control robots, and induce grammars. He is president of both Possibility Research and Self-Aware Systems, a think tank working to ensure that intelligent technologies have a positive impact. His work on positive intelligent technologies was featured in James Barrat's book "Our Final Invention" and has generated international interest. He serves on the advisory boards of the Cryptocurrency Research Group, the Institute for Blockchain Studies, and Pebble Cryptocurrency.