Big Science and Embodied Learning at Hugging Face 🤗 with Thomas Wolf - #564
Today we’re joined by Thomas Wolf, co-founder and chief science officer at Hugging Face 🤗. We cover a ton of ground In our conversation, starting with Thomas’ interesting backstory as a quantum physi...
21 Mar 202247min
Full-Stack AI Systems Development with Murali Akula - #563
Today we’re joined by Murali Akula, a Sr. director of Software Engineering at Qualcomm. In our conversation with Murali, we explore his role at Qualcomm, where he leads the corporate research team foc...
14 Mar 202244min
100x Improvements in Deep Learning Performance with Sparsity, w/ Subutai Ahmad - #562
Today we’re joined by Subutai Ahmad, VP of research at Numenta. While we’ve had numerous conversations about the biological inspirations of deep learning models with folks working at the intersection ...
7 Mar 202250min
Scaling BERT and GPT for Financial Services with Jennifer Glore - #561
Today we’re joined by Jennifer Glore, VP of customer engineering at SambaNova Systems. In our conversation with Jennifer, we discuss how, and why, Sambanova, who is primarily focused on building hardw...
28 Feb 202244min
Trends in Deep Reinforcement Learning with Kamyar Azizzadenesheli - #560
Today we’re joined by Kamyar Azizzadenesheli, an assistant professor at Purdue University, to close out our AI Rewind 2021 series! In this conversation, we focused on all things deep reinforcement lea...
21 Feb 20221h 17min
Deep Reinforcement Learning at the Edge of the Statistical Precipice with Rishabh Agarwal - #559
Today we’re joined by Rishabh Agarwal, a research scientist at Google Brain in Montreal. In our conversation with Rishabh, we discuss his recent paper Deep Reinforcement Learning at the Edge of the St...
14 Feb 202251min
Designing New Energy Materials with Machine Learning with Rafael Gomez-Bombarelli - #558
Today we’re joined by Rafael Gomez-Bombarelli, an assistant professor in the department of material science and engineering at MIT. In our conversation with Rafa, we explore his goal of fusing machi...
7 Feb 202253min
Differentiable Programming for Oceanography with Patrick Heimbach - #557
Today we’re joined by Patrick Heimbach, a professor at the University of Texas working at the intersection of ML and oceanography. In our conversation with Patrick, we explore some of the challenges o...
31 Jan 202234min
