AI Research at JPMorgan Chase with Manuela Veloso - #371
Today we’re joined by Manuela Veloso, Head of AI Research at J.P. Morgan Chase. Since moving from CMU to JP Morgan Chase, Manuela and her team established a set of seven lofty research goals. In this ...
30 Apr 202046min
Panel: Responsible Data Science in the Fight Against COVID-19 - #370
In this discussion, we explore how data scientists and ML/AI practitioners can responsibly contribute to the fight against coronavirus and COVID-19. Four experts: Rex Douglass, Rob Munro, Lea Shanley,...
29 Apr 202058min
Adversarial Examples Are Not Bugs, They Are Features with Aleksander Madry - #369
Today we’re joined by Aleksander Madry, Faculty in the MIT EECS Department, to discuss his paper “Adversarial Examples Are Not Bugs, They Are Features.” In our conversation, we talk through what we ex...
27 Apr 202041min
AI for Social Good: Why "Good" isn't Enough with Ben Green - #368
Today we’re joined by Ben Green, PhD Candidate at Harvard and Research Fellow at the AI Now Institute at NYU. Ben’s research is focused on the social and policy impacts of data science, with a focus...
23 Apr 202041min
The Evolution of Evolutionary AI with Risto Miikkulainen - #367
Today we’re joined by Risto Miikkulainen, Associate VP of Evolutionary AI at Cognizant AI. Risto joined us back on episode #47 to discuss evolutionary algorithms, and today we get an update on the lat...
20 Apr 202037min
Neural Architecture Search and Google’s New AutoML Zero with Quoc Le - #366
Today we’re super excited to share our recent conversation with Quoc Le, a research scientist at Google. Quoc joins us to discuss his work on Google’s AutoML Zero, semi-supervised learning, and the de...
16 Apr 202054min
Automating Electronic Circuit Design with Deep RL w/ Karim Beguir - #365
Today we’re joined by return guest Karim Beguir, Co-Founder and CEO of InstaDeep. In our conversation, we chat with Karim about InstaDeep’s new offering, DeepPCB, an end-to-end platform for automated ...
13 Apr 202035min
Neural Ordinary Differential Equations with David Duvenaud - #364
Today we’re joined by David Duvenaud, Assistant Professor at the University of Toronto, to discuss his research on Neural Ordinary Differential Equations, a type of continuous-depth neural network. In...
9 Apr 202049min
