Artificial Intelligence – Potential and Risks
Thursday, September 24, 2015
Location: EMC Corporation
2421 Mission College Blvd.
Santa Clara, CA
All Stars Conference Room
Why did Peter Norvig, Elon Musk, Steve Wozniak, and Stephen Hawking all sign a letter about the “remarkable successes in … speech recognition, image classification, autonomous vehicles, machine translation, legged locomotion, and question-answering systems?” Because “we cannot predict what we might achieve when [human] intelligence is magnified by the tools Artificial Intelligence may provide.” Deep learning and Convolutional Neural Networks are revolutionizing search, natural language processing and computer vision. Join us to learn what every executive needs to know about Artificial Intelligence.
OUR DISTINGUISHED PANELISTS
Founder and CEO,
Richard Socher is the CEO and Founder of MetaMind, a startup that seeks to improve artificial intelligence and make it widely accessible. He obtained his PhD from Stanford working on deep learning with Chris Manning and Andrew Ng and won the best Stanford CS PhD thesis award. He is interested in developing new AI models that perform well across multiple different tasks in natural language processing and computer vision.
Richard was awarded the Distinguished Application Paper Award at the International Conference on Machine Learning (ICML) 2011, 2011 Yahoo! Key Scientific Challenges Award, a Microsoft Research PhD Fellowship in 2012 and a 2013 “Magic Grant” from the Brown Institute for Media Innovation and the 2014 GigaOM Structure Award.
Possibility Research and Self-Aware Systems
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 PhD in Physics from U.C. Berkeley. He was a computer science professor at the University of Illinois at Champaign-Urbana and co-founded 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 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, Dfinity Cryptocurrency, and the AI startup Cognitalk.
Dr. Moshe Looks
Inference Engine Project,
Dr. Moshe Looks is currently Team Lead for the Inference Engine project at Google, which applies techniques from deep learning and statistical inference to large-scale knowledge bases, and to Google’s Knowledge Graph in particular. Previously at Google, he has worked on applying machine learning to web ranking, and was Team Lead for two research projects spanning probablistic program induction and grammar induction, artificial general intelligence, and natural language processing.
Before joining Google, Moshe worked for Novamente, an artificial general intelligence start-up, where he applied program induction techniques to learn controllers for artificial agents and to problems in bioinformatics. He also previously worked for Object Sciences Corporation (acquired by Science Applications International Corporation) on applied natural language processing and anomaly detection.
Moshe has a PhD and MS from Washington University and a BSc from Hebrew University (magna cum laude at age 19). He has published over twenty peer-reviewed papers in venues such as IJCAI (International Joint Conference on AI) and ICCS (International Conference of the Cognitive Science), with over 400 citations. Moshe chaired the 2011 conference on Artificial General Intelligence, and has served as a reviewer for AGI, BICTA, GECCO, IEEE-TEC, IJCAI, JAGI, JMLR, and for the Google Research Awards program. He is currently a research advisor for the Machine Intelligence Research Institute and for Turing Solutions.
Douglas Summers Stay
AI & Computer Vision Researcher,
U.S. Army Research Laboratory
Dr. Summers Stay is an AI and Computer Vision Researcher for the U.S. Army Research Labs since 2007. Before that time he was a high school mathematics teacher for three years. Dr. Summers Stay received his Master’s degree from NYU in 2006, where he worked with Ken Perlin and Yann LeCun. As a PhD student at the University of Maryland, he worked with Yiannis Aloimonos on scene parsing and understanding actions like food preparation and toy assembly. He also participated in the POETICON project, an ambitious attempt to ground language understanding in android perception.
In 2011 he published “Machinamenta: The thousand year quest to build a creative machine.” The book explores the history (before computers) of attempts to make machines that could write poetry, compose melodies, understand language, prove theorems, and create artwork. His current work is in developing ways to perform deductive and analogical reasoning in order to tie together perception, language, and action.
OUR DISTINGUISHED MODERATOR
Author, Journalist, World-Renowned Technology Writer
Michael S. Malone is one of the world’s best-known technology writers. He has covered Silicon Valley and high-tech for more than 25 years, beginning with the San Jose Mercury News as the nation’s first daily high-tech reporter, where he was twice nominated for the Pulitzer Prize for investigative reporting. His articles and editorials have appeared in such publications as The Wall Street Journal, The Economist, and Fortune, and for two years he was a columnist for The New York Times. He was editor of Forbes ASAP, the world’s largest-circulation business-tech magazine, at the height of the dot-com boom. Malone is the author or co-author of nearly twenty award-winning books including “The Virtual Corporation,” “Bill and Dave,” and “The Future Arrived Yesterday,” “The Intel Trinity: How Robert Noyce, Gordon Moore, and Andy Grove Built the World’s Most Important Company,” “Learning Curve: A Novel of Silicon Valley.” Malone has also hosted three nationally syndicated public television interview series and co-produced the Emmy-nominated primetime PBS miniseries on social entrepreneurs, “The New Heroes.” As an entrepreneur, Malone was a founding shareholder of eBay, Siebel Systems (sold to Oracle) and Qik (sold to Skype). Malone holds an MBA from Santa Clara University, where he is currently an adjunct professor. He is also an associate fellow of the Said Business School at Oxford University, and is a Distinguished Friend of Oxford.