Ronald Coifman - Deeper Learning in Empirical Science, some requirements and needs @SacklerColloquia

Uploaded March 2019 | Updated September 2026, 3 days ago

Counterpoint: Ronald Coifman, Yale University, Deeper Learning in Empirical Science, some requirements and needs

This talk was presented during the National Academy of Sciences Arthur M. Sackler Colloquium: The Science of Deep Learning in Washington D.C. March 13-14, 2019.

Organized by: David Donoho, Maithra Raghu, Ali Rahimi, Ben Recht and Matan Gavish

Ronald Coifman - Deeper Learning in Empirical Science, some requirements and needs

K “Vish” Viswanath - Reaching Diverse Audiences

Michele Calos: How gene therapy can address the public health challenge of genetic disease

Konrad Kording - Why neuroscience needs deep learning theory

Discussion w Audience - Misinformation in the Context of Public Controversy

Overview talk Amnon Shashua - Successes and Challenges in Modern Artificial Intelligence

John H. Evans: Ethical and Social Issues in Human Germline Editing

Leon Bottou - From Machine Learning to Artificial Intelligence

Christie Aschwanden - Capitalizing on Opportunities of an Online World

David Lazer - Infrastructure and Systems for Reducing the Spread and Impact of Misinformation