Disrupting DeepFakes: Adversarial Attacks Against Conditional Image Translation Networks with Nataniel Ruiz - #375
Today we’re joined by Nataniel Ruiz, a PhD Student at Boston University. We caught up with Nataniel to discuss his paper “Disrupting DeepFakes: Adversarial Attacks Against Conditional Image Translat...
14 Maj 202042min
Understanding the COVID-19 Data Quality Problem with Sherri Rose - #374
Today we’re joined by Sherri Rose, Associate Professor at Harvard Medical School. We cover a lot of ground in our conversation, including the intersection of her research with the current COVID-19 pan...
11 Maj 202044min
The Whys and Hows of Managing Machine Learning Artifacts with Lukas Biewald - #373
Today we’re joined by Lukas Biewald, founder and CEO of Weights & Biases, to discuss their new tool Artifacts, an end to end pipeline tracker. In our conversation, we explore Artifacts’ place in the b...
7 Maj 202054min
Language Modeling and Protein Generation at Salesforce with Richard Socher - #372
Today we’re joined Richard Socher, Chief Scientist and Executive VP at Salesforce. Richard and his team have published quite a few great projects lately, including CTRL: A Conditional Transformer Lang...
4 Maj 202042min
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
