Keynote: The Potential of Machine Learning for Hardware Design - Jeff Dean

Keynote: GPUs, Machine Learning, and EDA - Bill Dally

Yann LeCun, Chief AI Scientist at Meta AI: From Machine Learning to Autonomous Intelligence

62DAC Exhibitor Forum: Derren Dunn, IBM

Jeff Dean: AI will Reshape Chip Design — NeurIPS 2024

A Techno-optimist Look at AI - Jeff Dean | Endgame #166 (Luminaries)

Обучение с подкреплением для проектирования оборудования с участием Анны Голди | Стэнфордский сем...

AI Hardware w/ Jim Keller

Jeff Dean: "Achieving Rapid Response Times in Large Online Services" Keynote - Velocity 2014

Keynote: AI, Machine Learning, Deep Learning - Kurt Keutzer

Шульман: точка невозврата пройдена? | Интервью про 2025-й год: Пугачева, Кадыров, Наки, Дзюба, ПАСЕ

Trends in Deep Learning Hardware: Bill Dally (NVIDIA)

62DAC TechTalk: Beyond Automation: How Agentic AI is Reinventing Chip Design and Verification

TPU V4 and Trends in Accelerator Hardware - Mike Hutton

ASPLOS Keynote: The Golden Age of Compiler Design in an Era of HW/SW Co-design by Dr. Chris Lattner

Jeff Dean, Google's Chief Scientist, speaks on five exciting trends in machine learning. #atAshesi

An Intro to GPU Architecture and Programming Models I Tim Warburton, Virginia Tech

The Turing Lectures: The future of generative AI

Keynote (TensorFlow Dev Summit 2017)

Jeff Dean (Google): Exciting Trends in Machine Learning

"Performance Matters" by Emery Berger