How AI Predicted the Coronavirus Outbreak with Kamran Khan - #350
Turning Ideas into ML Powered Products with Emmanuel Ameisen - #349
Algorithmic Injustices and Relational Ethics with Abeba Birhane - #348
AI for Agriculture and Global Food Security with Nemo Semret - #347
Practical Differential Privacy at LinkedIn with Ryan Rogers - #346
Networking Optimizations for Multi-Node Deep Learning on Kubernetes with Erez Cohen - #345
Managing Research Needs at the University of Michigan using Kubernetes w/ Bob Killen - #344
Scalable and Maintainable Workflows at Lyft with Flyte w/ Haytham AbuelFutuh and Ketan Umare - #343
Causality 101 with Robert Osazuwa Ness - #342
PaccMann^RL: Designing Anticancer Drugs with Reinforcement Learning w/ Jannis Born - #341
Social Intelligence with Blaise Aguera y Arcas - #340
Music & AI Plus a Geometric Perspective on Reinforcement Learning with Pablo Samuel Castro - #339
Trends in Computer Vision with Amir Zamir - #338
Trends in Natural Language Processing with Nasrin Mostafazadeh - #337
Trends in Fairness and AI Ethics with Timnit Gebru - #336
Trends in Reinforcement Learning with Chelsea Finn - #335
Trends in Machine Learning & Deep Learning with Zack Lipton - #334
FaciesNet & Machine Learning Applications in Energy with Mohamed Sidahmed - #333
Machine Learning: A New Approach to Drug Discovery with Daphne Koller - #332
Sensory Prediction Error Signals in the Neocortex with Blake Richards - #331
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