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: A New Approach to Drug Discovery with Daphne Koller - #332

Machine Learning: A New Approach to Drug Discovery with Daphne Koller - #332

Today we’re joined by Daphne Koller, co-Founder and former co-CEO of Coursera and Founder and CEO of Insitro. In our conversation, discuss the current landscape of pharmaceutical drugs and drug discov...

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Sensory Prediction Error Signals in the Neocortex with Blake Richards - #331

Sensory Prediction Error Signals in the Neocortex with Blake Richards - #331

Today we continue our 2019 NeurIPS coverage, this time around joined by Blake Richards, Assistant Professor at McGill University and a Core Faculty Member at Mila. Blake was an invited speaker at the ...

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How to Know with Celeste Kidd - #330

How to Know with Celeste Kidd - #330

Today we’re joined by Celeste Kidd, Assistant Professor at UC Berkeley, to discuss her invited talk “How to Know” which details her lab’s research about the core cognitive systems people use to guide ...

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Using Deep Learning to Predict Wildfires with Feng Yan - #329

Using Deep Learning to Predict Wildfires with Feng Yan - #329

Today we’re joined by Feng Yan, Assistant Professor at the University of Nevada, Reno to discuss ALERTWildfire, a camera-based network infrastructure that captures satellite imagery of wildfires. In o...

20 Dec 201951min

Advancing Machine Learning at Capital One with Dave Castillo - #328

Advancing Machine Learning at Capital One with Dave Castillo - #328

Today we’re joined by Dave Castillo, Managing VP for ML at Capital One and head of their Center for Machine Learning. In our conversation, we explore Capital One’s transition from “lab-based” ML to en...

19 Dec 201947min

Helping Fish Farmers Feed the World with Deep Learning w/ Bryton Shang - #327

Helping Fish Farmers Feed the World with Deep Learning w/ Bryton Shang - #327

Today we’re joined by Bryton Shang, Founder & CEO at Aquabyte, a company focused on the application of computer vision to various fish farming use cases. In our conversation, we discuss how Bryton ide...

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Metaflow, a Human-Centric Framework for Data Science with Ville Tuulos - #326

Metaflow, a Human-Centric Framework for Data Science with Ville Tuulos - #326

Today we kick off our re:Invent 2019 series with Ville Tuulos, Machine Learning Infrastructure Manager at Netflix. At re:Invent, Netflix announced the open-sourcing of Metaflow, their “human-centric f...

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Single Headed Attention RNN: Stop Thinking With Your Head with Stephen Merity - #325

Single Headed Attention RNN: Stop Thinking With Your Head with Stephen Merity - #325

Today we’re joined by Stephen Merity, an independent researcher focused on NLP and Deep Learning. In our conversation, we discuss Stephens latest paper, Single Headed Attention RNN: Stop Thinking With...

12 Dec 201959min

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