Harvesting randomness, HAIbrid algorithms and safe AI with Dr. Siddhartha Sen | Podcast
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237 дней – 6383:07:51Опубликовано 3 июня 2020, 10:22
Episode 116 | May 27, 2020
Dr. Siddhartha Sen is a Principal Researcher in MSR’s New York City lab, and his research interests are, if not impossible, at least impossible sounding: optimal decision making, universal data structures, and verifiably safe AI.
Today, he tells us how he’s using reinforcement learning and HAIbrid algorithms to tap the best of both human and machine intelligence and develop AI that’s minimally disruptive, synergistic with human solutions, and safe.
See more on this and other Microsoft Research podcast episodes: microsoft.com/en-us/research/b...
Dr. Siddhartha Sen is a Principal Researcher in MSR’s New York City lab, and his research interests are, if not impossible, at least impossible sounding: optimal decision making, universal data structures, and verifiably safe AI.
Today, he tells us how he’s using reinforcement learning and HAIbrid algorithms to tap the best of both human and machine intelligence and develop AI that’s minimally disruptive, synergistic with human solutions, and safe.
See more on this and other Microsoft Research podcast episodes: microsoft.com/en-us/research/b...
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