Episode 59 | January 16, 2019
The entertainment industry has long offered us a vision of the perfect personal assistant: one that not only meets our stated needs but anticipates needs we didn’t even know we had. But these uber-assistants, from the preternaturally prescient Radar O’Reilly in the TV show M.A.S.H. to Tony Stark’s digital know-and-do-it-all Jarvis in Iron Man, have always lived in the realm of fiction or science fiction. That could all change, if Dr. Paul Bennett, Principal Researcher and Research Manager of the Information and Data Sciences group at Microsoft Research, has anything to say about it. He and his team are working to make machines “calendar and email aware,” moving intelligent assistance into the realm of science and onto your workstation.
Today, Dr. Bennett brings us up to speed on the science of contextually intelligent assistants, explains how what we think our machines can do actually shapes what we expect them to do, and shares how current research in machine learning and data science is helping machines reason on our behalf in the quest to help us find the right information effortlessly.
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