Gaël Varoquaux

00:00:00 Intro. Gaels's journey from physics to AI through coding, then health and social science applications.00:06:17 Looking for impact. Are we using our energy to solve the best problems? How to estimate future impact?00:12:18 How did the interacting with a wide variety of sciences changes you as an AI researcher? Out-of-the box. Empirical research.00:13:19 Benchmarks. How they incorporate value and drive AI research. AI went from a mathematical to an empirical science. Fei-Fei Li and ImageNet.00:19:07 The Autism Challenge: predict the condition from brain imaging. How to avoid fooling ourselves?00:25:24 How did the medical community react? The clash between what is true and what is valuable.00:27:15 How do you measure your scientific impact?00:31:09 Scientific/technological and societal progress.00:33:01 Recommender AI and the 2007 Netflix challenge.00:35:14 How to deal with social media addiction.00:42:06 Scikit-learn. The Toyota of AI. Origin story.A well-designed tool for scientist is also useful for business. 00:47:03 Open source organizational structure. Ecosystem building.00:55:57 Deep learning and scikit-learn.00:59:37 Sociology ad psychology of scikit-learn.01:09:57 How to bring science home. AI has become an ice breaker.01:13:13 Gael's question: what excites me these days. Being seen; clarifying my thoughts through dialogs and writing; agency, RL, and putting AI in hardware we connect with; moving my body.I, scientist blog: https://balazskegl.substack.comTwitter: https://twitter.com/balazskeglArtwork: DALL-EMusic: Bea Palya https://www.youtube.com/channel/UCBDp3qcFZdU1yoWIRpMSaZw Hosted on Acast. See acast.com/privacy for more information.