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Microsoft Research Podcast
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116 - Harvesting randomness, HAIbrid algorithms and safe AI with Dr. Siddhartha Sen

27 maj 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.

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Will machines ever be intelligent?
•1 tim 8 min
Trailer: The Shape of Things to Come
•2 min
Ideas: Community building, machine learning, and the future of AI
•56 min
Ideas: More AI-resilient biosecurity with the Paraphrase Project
•52 min
Coauthor roundtable: Reflecting on healthcare economics, biomedical research, and medical education
•1 tim 18 min
Reimagining healthcare delivery and public health with AI
•1 tim 16 min
Navigating medical education in the era of generative AI
•1 tim 16 min
AI Testing and Evaluation: Reflections
•29 min
AI Testing and Evaluation: Learnings from cybersecurity
•35 min
How AI will accelerate biomedical research and discovery
•1 tim 31 min

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