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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Language (Technology) Is Power: Exploring the Inherent Complexity of NLP Systems with Hal Daumé III - #395

Language (Technology) Is Power: Exploring the Inherent Complexity of NLP Systems with Hal Daumé III - #395

Today we’re joined by Hal Daume III, professor at the University of Maryland and Co-Chair of the 2020 ICML Conference. We had the pleasure of catching up with Hal ahead of this year's ICML to discuss ...

27 Heinä 20201h 2min

Graph ML Research at Twitter with Michael Bronstein - #394

Graph ML Research at Twitter with Michael Bronstein - #394

Today we’re excited to be joined by return guest Michael Bronstein, Head of Graph Machine Learning at Twitter. In our conversation, we discuss the evolution of the graph machine learning space, his ne...

23 Heinä 202055min

Panel: The Great ML Language (Un)Debate! - #393

Panel: The Great ML Language (Un)Debate! - #393

Today we’re excited to bring ‘The Great ML Language (Un)Debate’ to the podcast! In the latest edition of our series of live discussions, we brought together experts and enthusiasts to discuss both pop...

20 Heinä 20201h 34min

What the Data Tells Us About COVID-19 with Eric Topol - #392

What the Data Tells Us About COVID-19 with Eric Topol - #392

Today we’re joined by Eric Topol, Director & Founder of the Scripps Research Translational Institute, and author of the book Deep Medicine. We caught up with Eric to talk through what we’ve learned ab...

16 Heinä 202042min

The Case for Hardware-ML Model Co-design	with Diana Marculescu - #391

The Case for Hardware-ML Model Co-design with Diana Marculescu - #391

Today we’re joined by Diana Marculescu, Professor of Electrical and Computer Engineering at UT Austin. We caught up with Diana to discuss her work on hardware-aware machine learning. In particular, ...

13 Heinä 202045min

Computer Vision for Remote AR with Flora Tasse - #390

Computer Vision for Remote AR with Flora Tasse - #390

Today we conclude our CVPR coverage joined by Flora Tasse, Head of Computer Vision & AI Research at Streem. Flora, a keynote speaker at the AR/VR workshop, walks us through some of the interesting use...

9 Heinä 202040min

Deep Learning for Automatic Basketball Video Production with Julian Quiroga - #389

Deep Learning for Automatic Basketball Video Production with Julian Quiroga - #389

Today we're Julian Quiroga, a Computer Vision Team Lead at Genius Sports, to discuss his recent paper “As Seen on TV: Automatic Basketball Video Production using Gaussian-based Actionness and Game Sta...

6 Heinä 202041min

How External Auditing is Changing the Facial Recognition Landscape with Deb Raji - #388

How External Auditing is Changing the Facial Recognition Landscape with Deb Raji - #388

Today we’re taking a break from our CVPR coverage to bring you this interview with Deb Raji, a Technology Fellow at the AI Now Institute. Recently there have been quite a few major news stories in th...

2 Heinä 20201h 20min

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