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(778)

Four Key Tools for Robust Enterprise NLP with Yunyao Li - #537

Four Key Tools for Robust Enterprise NLP with Yunyao Li - #537

Today we’re joined by Yunyao Li, a senior research manager at IBM Research.  Yunyao is in a somewhat unique position at IBM, addressing the challenges of enterprise NLP in a traditional research envir...

18 Nov 202158min

Machine Learning at GSK with Kim Branson - #536

Machine Learning at GSK with Kim Branson - #536

Today we’re joined by Kim Branson, the SVP and global head of artificial intelligence and machine learning at GSK.  We cover a lot of ground in our conversation, starting with a breakdown of GSK’s cor...

15 Nov 20211h

The Benefit of Bottlenecks in Evolving Artificial Intelligence with David Ha - #535

The Benefit of Bottlenecks in Evolving Artificial Intelligence with David Ha - #535

Today we’re joined by David Ha, a research scientist at Google.  In nature, there are many examples of “bottlenecks”, or constraints, that have shaped our development as a species. Building upon this ...

11 Nov 202159min

Facebook Abandons Facial Recognition. Should Everyone Else Follow Suit? With Luke Stark - #534

Facebook Abandons Facial Recognition. Should Everyone Else Follow Suit? With Luke Stark - #534

Today we’re joined by Luke Stark, an assistant professor at Western University in London, Ontario.  In our conversation with Luke, we explore the existence and use of facial recognition technology, so...

8 Nov 202142min

Building Blocks of Machine Learning at LEGO with Francesc Joan Riera - #533

Building Blocks of Machine Learning at LEGO with Francesc Joan Riera - #533

Today we’re joined by Francesc Joan Riera, an applied machine learning engineer at The LEGO Group.  In our conversation, we explore the ML infrastructure at LEGO, specifically around two use cases, c...

4 Nov 202143min

Exploring the FastAI Tooling Ecosystem with Hamel Husain - #532

Exploring the FastAI Tooling Ecosystem with Hamel Husain - #532

Today we’re joined by Hamel Husain, Staff Machine Learning Engineer at GitHub.  Over the last few years, Hamel has had the opportunity to work on some of the most popular open source projects in the M...

1 Nov 202139min

Multi-task Learning for Melanoma Detection with Julianna Ianni - #531

Multi-task Learning for Melanoma Detection with Julianna Ianni - #531

In today’s episode, we are joined by Julianna Ianni, vice president of AI research & development at Proscia. In our conversation, Julianna shares her and her team’s research focused on developing app...

28 Okt 202137min

House Hunters: Machine Learning at Redfin with Akshat Kaul - #530

House Hunters: Machine Learning at Redfin with Akshat Kaul - #530

Today we’re joined by Akshat Kaul, the head of data science and machine learning at Redfin. We’re all familiar with Redfin, but did you know that redfin.com is the largest real estate brokerage site i...

26 Okt 202144min

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