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In the year 2031, or 2040 and beyond, there are outstanding questions to consider to explore significant advances in learning and reasoning.
Join host and AFOSR program officer for the Science of Information, Computation, Learning, and Fusion, Doug Riecken, on October 27, 2021 from 2-4pm EDT for a lively discussion with A.I. leaders: Randall Davis, Yann LeCun, Tom Mitchell and Steven "Cap" Rogers as they debate the next big question in the science of artificial intelligence.
This is the first in a series of 2-hour sessions with thought leaders on the subject.
Guests are welcome to join on AFOSR's Facebook Live
Davis has been a seminal contributor to the fields of knowledge-based systems and human-computer interaction, publishing some more than 100 articles and playing a central role in the development of several systems. He and his research group are developing advanced tools that permit natural multi-modal interaction with computers by creating software that understands users as they sketch, gesture, and talk. Full bio
Yann LeCun, NYU Center for Data Science and Facebook
Current interests include AI, machine learning, computer perception, mobile robotics, and computational neuroscience. He has published over 180 technical papers and book chapters on these topics as well as on neural networks, handwriting recognition, image processing and compression, and on dedicated circuits and architectures for computer perception. The character recognition technology he developed at Bell Labs is used by several banks around the world to read checks and was reading between 10 and 20% of all the checks in the US in the early 2000s. His image compression technology, called DjVu, is used by hundreds of web sites and publishers and millions of users to access scanned documents on the Web. Since the late 80's he has been working on deep learning methods, particularly the convolutional network model, which is the basis of many products and services deployed by companies such as Facebook, Google, Microsoft, Baidu, IBM, NEC, AT&T and others for image and video understanding, document recognition, human-computer interaction, and speech recognition. Full Bio