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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Neural Network Quantization and Compression with Tijmen Blankevoort - TWIML Talk #292

Neural Network Quantization and Compression with Tijmen Blankevoort - TWIML Talk #292

Today we’re joined by Tijmen Blankevoort, a staff engineer at Qualcomm, who leads their compression and quantization research teams. In our conversation with Tijmen we discuss:  • The ins and outs of...

19 Aug 201950min

Identifying New Materials with NLP with Anubhav Jain - TWIML Talk #291

Identifying New Materials with NLP with Anubhav Jain - TWIML Talk #291

Today we are joined by Anubhav Jain, Staff Scientist & Chemist at Lawrence Berkeley National Lab. We discuss his latest paper, ‘Unsupervised word embeddings capture latent knowledge from materials sci...

15 Aug 201939min

The Problem with Black Boxes with Cynthia Rudin - TWIML Talk #290

The Problem with Black Boxes with Cynthia Rudin - TWIML Talk #290

Today we are joined by Cynthia Rudin, Professor of Computer Science, Electrical and Computer Engineering, and Statistical Science at Duke University. In this episode we discuss her paper, ‘Please Stop...

14 Aug 201948min

Human-Robot Interaction and Empathy with Kate Darling - TWIML Talk #289

Human-Robot Interaction and Empathy with Kate Darling - TWIML Talk #289

Today we’re joined by Dr. Kate Darling, Research Specialist at the MIT Media Lab. Kate’s focus is on robot ethics, the social implication of how people treat robots and the purposeful design of robots...

8 Aug 201943min

Automated ML for RNA Design with Danny Stoll - TWIML Talk #288

Automated ML for RNA Design with Danny Stoll - TWIML Talk #288

Today we’re joined by Danny Stoll, Research Assistant at the University of Freiburg. Danny’s current research can be encapsulated in his latest paper, ‘Learning to Design RNA’. In this episode, Danny ...

5 Aug 201937min

Developing a brain atlas using deep learning with Theofanis Karayannis - TWIML Talk #287

Developing a brain atlas using deep learning with Theofanis Karayannis - TWIML Talk #287

Today we’re joined by Theofanis Karayannis, Assistant Professor at the Brain Research Institute of the University of Zurich. Theo’s research is focused on brain circuit development and uses Deep Learn...

1 Aug 201937min

Environmental Impact of Large-Scale NLP Model Training with Emma Strubell - TWIML Talk #286

Environmental Impact of Large-Scale NLP Model Training with Emma Strubell - TWIML Talk #286

Today we’re joined by Emma Strubell, currently a visiting scientist at Facebook AI Research. Emma’s focus is bringing state of the art NLP systems to practitioners by developing efficient and robust m...

29 Juli 201937min

“Fairwashing” and the Folly of ML Solutionism with Zachary Lipton - TWIML Talk #285

“Fairwashing” and the Folly of ML Solutionism with Zachary Lipton - TWIML Talk #285

Today we’re joined by Zachary Lipton, Assistant Professor in the Tepper School of Business. With a theme of data interpretation, Zachary’s research is focused on machine learning in healthcare, with t...

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