RE•WORK

'Zero Shot Capabilities at Scale' by Nick Ryder, Member of Technical Staff, Open AI

Interview with Karl Cobbe, Open AI and George Lawton, Tech Target

'The Surprising Creativity of Evolutionary RL' by Joel Lehman, ML Research Scientist at Open AI

ANML Learning to Continually Learn - Jeff Clune, OpenAI

20 Questions with Jeff Clune, Research Team Lead, OpenAI

Aravind Srinivas, Research Scientist, OpenAI

Interview With Josh Tobin, OpenAI

RL2 - Fast & Slow Reinforcement Learning - Ilya Sutskever, OpenAI

#WOMEN IN #AI PODCAST Episode 02: Antonia Creswell #reworkAI

Towards Algorithmic Assurance of Governing Machine Learning Systems at Scale - Manuel Proissl, UBS

Fireside Chat with Andrew Ng, Founder, deeplearningAI & Landing AI

Deep Learning for Speech Recognition - Sébastien Bratières - Deep Learning Summit #reworkDL

Yoshua Bengio: Deep Learning Cognition | Full Keynote - AI in 2020 & Beyond

Hiding Kubernetes Complexity for ML Engineers Using Kubeflow

Yoshua Bengio, Yann LeCun & Geoffrey Hinton AI Keynote (Part 1)

Interview with Shalini Ghosh, Director of AI Research at Samsung Research America

Alex Patry, Senior Staff Software Engineer, LinkedIn

How Do You Know What A Deep Network Has Learned? - Simon Lucey of Carnegie Mellon University

Learning based Program Synthesis, Xinyun Chen, Google Research