Neurips Archives - The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

Social Intelligence with Blaise Aguera y Arcas

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January 20, 2020

Today we’re joined by Blaise Aguera y Arcas, a Distinguished Scientist at Google. … Read the rest

Music & AI Plus A Geometric Perspective on Reinforcement Learning

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January 16, 2020

Today we’re joined by Pablo Samuel Castro, Staff Research Software Developer at Google. … Read the rest

Trends in Fairness and AI Ethics with Timnit Gebru

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January 6, 2020

Today we keep the 2019 AI Rewind series rolling with friend-of-the-show Timnit Gebru, a research scientist on the Ethical AI team at Google. … Read the rest

FaciesNet & Machine Learning Applications in Energy with Mohamed Sidahmed

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December 27, 2019

Today we close out our 2019 NeurIPS series with Mohamed Sidahmed, Machine Learning and Artificial Intelligence R&D Manager at Shell. … Read the rest

Machine Learning: A New Approach to Drug Discovery with Daphne Koller

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December 26, 2019

Today we continue our 2019 NeurIPS coverage joined by Daphne Koller, co-Founder and former co-CEO of Coursera and Founder and CEO of Insitro. … Read the rest

Sensory Prediction Error Signals in the Neocortex with Blake Richards

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December 24, 2019

Today we continue our 2019 NeurIPS coverage, this time around joined by Blake Richards, Assistant Professor at McGill University and a Core Faculty Member at Mila. … Read the rest

TWIML Presents: NeurIPS 2019

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December 23, 2019

Thanks to our sponsor!… Read the rest

How to Know with Celeste Kidd

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December 23, 2019

Today we begin our coverage of the 2019 NeurIPS conference with Celeste Kidd, Assistant Professor of Psychology at UC Berkeley. … Read the rest

Inspiring New Machine Learning Platforms with Bioelectric Computation with Michael Levin

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July 15, 2019

Today we’re joined by Michael Levin, Director of the Allen Discovery Institute at Tufts University. … Read the rest

Snorkel: A System for Fast Training Data Creation with Alex Ratner

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May 30, 2019

Today we’re joined by Alex Ratner, Ph.D. student at Stanford, to discuss his work on Snorkel, a framework for creating training data with weak supervised learning techniques. … Read the…