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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AI and the Responsible Data Economy with Dawn Song - #403

AI and the Responsible Data Economy with Dawn Song - #403

Today we’re joined by Professor of Computer Science at UC Berkeley, Dawn Song. Dawn’s research is centered at the intersection of AI, deep learning, security, and privacy. She’s currently focused on b...

24 Aug 202053min

Relational, Object-Centric Agents for Completing Simulated Household Tasks with Wilka Carvalho - #402

Relational, Object-Centric Agents for Completing Simulated Household Tasks with Wilka Carvalho - #402

Today we’re joined by Wilka Carvalho, a PhD student at the University of Michigan, Ann Arbor. In our conversation, we focus on his paper ‘ROMA: A Relational, Object-Model Learning Agent for Sample-Eff...

20 Aug 202041min

Model Explainability Forum - #401

Model Explainability Forum - #401

Today we bring you the latest Discussion Series: The Model Explainability Forum. Our group of experts and researchers explore the current state of explainability and discuss the key emerging ideas sha...

17 Aug 20201h 27min

What NLP Tells Us About COVID-19 and Mental Health with Johannes Eichstaedt - #400

What NLP Tells Us About COVID-19 and Mental Health with Johannes Eichstaedt - #400

Today we’re joined by Johannes Eichstaedt, an Assistant Professor of Psychology at Stanford University. In our conversation, we explore how Johannes applies his physics background to a career as a com...

13 Aug 202058min

Human-AI Collaboration for Creativity with Devi Parikh - #399

Human-AI Collaboration for Creativity with Devi Parikh - #399

Today we’re joined by Devi Parikh, Associate Professor at the School of Interactive Computing at Georgia Tech, and research scientist at Facebook AI Research (FAIR). In our conversation, we touch on D...

10 Aug 202044min

Neural Augmentation for Wireless Communication with Max Welling - #398

Neural Augmentation for Wireless Communication with Max Welling - #398

Today we’re joined by Max Welling, Vice President of Technologies at Qualcomm Netherlands, and Professor at the University of Amsterdam. In our conversation, we explore Max’s work in neural augmentati...

6 Aug 202048min

Quantum Machine Learning: The Next Frontier? with Iordanis Kerenidis - #397

Quantum Machine Learning: The Next Frontier? with Iordanis Kerenidis - #397

Today we're joined by Iordanis Kerenidis, Research Director CNRS Paris and Head of Quantum Algorithms at QC Ware. Iordanis was an ICML main conference Keynote speaker on the topic of Quantum ML, and...

4 Aug 20201h

ML and Epidemiology with Elaine Nsoesie - #396

ML and Epidemiology with Elaine Nsoesie - #396

Today we continue our ICML series with Elaine Nsoesie, assistant professor at Boston University. In our conversation, we discuss the different ways that machine learning applications can be used to ad...

30 Juli 202046min

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