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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Machine Learning for Earthquake Seismology with Karianne Bergen - #554

Machine Learning for Earthquake Seismology with Karianne Bergen - #554

Today we’re joined by Karianne Bergen, an assistant professor at Brown University. In our conversation with Karianne, we explore her work at the intersection of earthquake seismology and machine learn...

20 Jan 202235min

The New DBfication of ML/AI with Arun Kumar - #553

The New DBfication of ML/AI with Arun Kumar - #553

Today we’re joined by Arun Kumarm, an associate professor at UC San Diego. We had the pleasure of catching up with Arun prior to the Workshop on Databases and AI at NeurIPS 2021, where he delivered th...

17 Jan 202246min

Building Public Interest Technology with Meredith Broussard - #552

Building Public Interest Technology with Meredith Broussard - #552

Today we’re joined by Meredith Broussard, an associate professor at NYU & research director at the NYU Alliance for Public Interest Technology. Meredith was a keynote speaker at the recent NeurIPS con...

13 Jan 202230min

A Universal Law of Robustness via Isoperimetry with Sebastien Bubeck - #551

A Universal Law of Robustness via Isoperimetry with Sebastien Bubeck - #551

Today we’re joined by Sebastian Bubeck a sr principal research manager at Microsoft, and author of the paper A Universal Law of Robustness via Isoperimetry, a NeurIPS 2021 Outstanding Paper Award reci...

10 Jan 202239min

Trends in NLP with John Bohannon - #550

Trends in NLP with John Bohannon - #550

Today we’re joined by friend of the show John Bohannon, the director of science at Primer AI, to help us showcase all of the great achievements and accomplishments in NLP in 2021! In our conversation,...

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Trends in Computer Vision with Georgia Gkioxari - #549

Trends in Computer Vision with Georgia Gkioxari - #549

Happy New Year! We’re excited to kick off 2022 joined by Georgia Gkioxari, a research scientist at Meta AI, to showcase the best advances in the field of computer vision over the past 12 months, and w...

3 Jan 202258min

Kids Run the Darndest Experiments: Causal Learning in Children with Alison Gopnik - #548

Kids Run the Darndest Experiments: Causal Learning in Children with Alison Gopnik - #548

Today we close out the 2021 NeurIPS series joined by Alison Gopnik, a professor at UC Berkeley and an invited speaker at the Causal Inference & Machine Learning: Why now? Workshop. In our conversation...

27 Dec 202136min

Hypergraphs, Simplicial Complexes and Graph Representations of Complex Systems with Tina Eliassi-Rad - #547

Hypergraphs, Simplicial Complexes and Graph Representations of Complex Systems with Tina Eliassi-Rad - #547

Today we continue our NeurIPS coverage joined by Tina Eliassi-Rad, a professor at Northeastern University, and an invited speaker at the I Still Can't Believe It's Not Better! Workshop. In our convers...

23 Dec 202135min

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