Powering AI with the World's Largest Computer Chip with Joel Hestness - #684

Powering AI with the World's Largest Computer Chip with Joel Hestness - #684

Today we're joined by Joel Hestness, principal research scientist and lead of the core machine learning team at Cerebras. We discuss Cerebras’ custom silicon for machine learning, Wafer Scale Engine 3, and how the latest version of the company’s single-chip platform for ML has evolved to support large language models. Joel shares how WSE3 differs from other AI hardware solutions, such as GPUs, TPUs, and AWS’ Inferentia, and talks through the homogenous design of the WSE chip and its memory architecture. We discuss software support for the platform, including support by open source ML frameworks like Pytorch, and support for different types of transformer-based models. Finally, Joel shares some of the research his team is pursuing to take advantage of the hardware's unique characteristics, including weight-sparse training, optimizers that leverage higher-order statistics, and more. The complete show notes for this episode can be found at twimlai.com/go/684.

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Models for Human-Robot Collaboration with Julie Shah - #538

Models for Human-Robot Collaboration with Julie Shah - #538

Today we’re joined by Julie Shah, a professor at the Massachusetts Institute of Technology (MIT). Julie’s work lies at the intersection of aeronautics, astronautics, and robotics, with a specific focu...

22 Nov 202142min

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

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