Trends in Reinforcement Learning with Pablo Samuel Castro - #443

Trends in Reinforcement Learning with Pablo Samuel Castro - #443

Today we kick off our annual AI Rewind series joined by friend of the show Pablo Samuel Castro, a Staff Research Software Developer at Google Brain. Pablo joined us earlier this year for a discussion about Music & AI, and his Geometric Perspective on Reinforcement Learning, as well our RL office hours during the inaugural TWIMLfest. In today’s conversation, we explore some of the latest and greatest RL advancements coming out of the major conferences this year, broken down into a few major themes, Metrics/Representations, Understanding and Evaluating Deep Reinforcement Learning, and RL in the Real World. This was a very fun conversation, and we encourage you to check out all the great papers and other resources available on the show notes page.

Avsnitt(779)

Evolution and Intelligence with Penousal Machado - #459

Evolution and Intelligence with Penousal Machado - #459

Today we’re joined by Penousal Machado, Associate Professor and Head of the Computational Design and Visualization Lab in the Center for Informatics at the University of Coimbra.  In our conversation...

25 Feb 202157min

Innovating Neural Machine Translation with Arul Menezes - #458

Innovating Neural Machine Translation with Arul Menezes - #458

Today we’re joined by Arul Menezes, a Distinguished Engineer at Microsoft.  Arul, a 30 year veteran of Microsoft, manages the machine translation research and products in the Azure Cognitive Services...

22 Feb 202144min

Building the Product Knowledge Graph at Amazon with Luna Dong - #457

Building the Product Knowledge Graph at Amazon with Luna Dong - #457

Today we’re joined by Luna Dong, Sr. Principal Scientist at Amazon. In our conversation with Luna, we explore Amazon’s expansive product knowledge graph, and the various roles that machine learning p...

18 Feb 202143min

Towards a Systems-Level Approach to Fair ML with Sarah M. Brown - #456

Towards a Systems-Level Approach to Fair ML with Sarah M. Brown - #456

Today we’re joined by Sarah Brown, an Assistant Professor of Computer Science at the University of Rhode Island. In our conversation with Sarah, whose research focuses on Fairness in AI, we discuss w...

15 Feb 202137min

AI for Digital Health Innovation with Andrew Trister - #455

AI for Digital Health Innovation with Andrew Trister - #455

Today we’re joined by Andrew Trister, Deputy Director for Digital Health Innovation at the Bill & Melinda Gates Foundation.  In our conversation with Andrew, we explore some of the AI use cases at th...

11 Feb 202141min

System Design for Autonomous Vehicles with Drago Anguelov - #454

System Design for Autonomous Vehicles with Drago Anguelov - #454

Today we’re joined by Drago Anguelov, Distinguished Scientist and Head of Research at Waymo.  In our conversation, we explore the state of the autonomous vehicles space broadly and at Waymo, includin...

8 Feb 202150min

Building, Adopting, and Maturing LinkedIn's Machine Learning Platform with Ya Xu - #453

Building, Adopting, and Maturing LinkedIn's Machine Learning Platform with Ya Xu - #453

Today we’re joined by Ya Xu, head of Data Science at LinkedIn, and TWIMLcon: AI Platforms 2021 Keynote Speaker. We cover a ton of ground with Ya, starting with her experiences prior to becoming Head ...

4 Feb 202149min

Expressive Deep Learning with Magenta DDSP w/ Jesse Engel - #452

Expressive Deep Learning with Magenta DDSP w/ Jesse Engel - #452

Today we’re joined by Jesse Engel, Staff Research Scientist at Google, working on the Magenta Project.  In our conversation with Jesse, we explore the current landscape of creativity AI, and the role...

1 Feb 202139min

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