The Measure and Mismeasure of Fairness with Sharad Goel - #363
Today we’re joined by Sharad Goel, Assistant Professor at Stanford. Sharad, who also has appointments in the computer science, sociology, and law departments, has spent recent years focused on applyin...
6 Huhti 202048min
Simulating the Future of Traffic with RL w/ Cathy Wu - #362
Today we’re joined by Cathy Wu, Assistant Professor at MIT. We had the pleasure of catching up with Cathy to discuss her work applying RL to mixed autonomy traffic, specifically, understanding the pot...
2 Huhti 202035min
Consciousness and COVID-19 with Yoshua Bengio - #361
Today we’re joined by one of, if not the most cited computer scientist in the world, Yoshua Bengio, Professor at the University of Montreal and the Founder and Scientific Director of MILA. We caught u...
30 Maalis 202049min
Geometry-Aware Neural Rendering with Josh Tobin - #360
Today we’re joined by Josh Tobin, Co-Organizer of the machine learning training program Full Stack Deep Learning. We had the pleasure of sitting down with Josh prior to his presentation of his paper G...
26 Maalis 202026min
The Third Wave of Robotic Learning with Ken Goldberg - #359
Today we’re joined by Ken Goldberg, professor of engineering at UC Berkeley, focused on robotic learning. In our conversation with Ken, we chat about some of the challenges that arise when working on ...
23 Maalis 20201h 1min
Learning Visiolinguistic Representations with ViLBERT w/ Stefan Lee - #358
Today we’re joined by Stefan Lee, an assistant professor at Oregon State University. In our conversation, we focus on his paper ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for V...
18 Maalis 202027min
Upside-Down Reinforcement Learning with Jürgen Schmidhuber - #357
Today we’re joined by Jürgen Schmidhuber, Co-Founder and Chief Scientist of NNAISENSE, the Scientific Director at IDSIA, as well as a Professor of AI at USI and SUPSI in Switzerland. Jürgen’s lab is w...
16 Maalis 202034min
SLIDE: Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning with Beidi Chen - #356
Beidi Chen is part of the team that developed a cheaper, algorithmic, CPU alternative to state-of-the-art GPU machines. They presented their findings at NeurIPS 2019 and have since gained a lot of att...
12 Maalis 202031min
