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Curiosity Unbounded, Ep. 18 (VIDEO): Inside Efficient AI: From GPUs to GPTs

Автор: Massachusetts Institute of Technology (MIT)

Загружено: 2026-03-11

Просмотров: 4439

Описание: Song Han is an associate professor in Electrical Engineering and Computer Science whose research focuses on efficient AI computing. He also leads the Efficient AI team at NVIDIA Research, focused on optimizing GPU-accelerated AI systems. In this episode, President Sally Kornbluth speaks with Song Han about efficient AI, why it’s so energy-hungry in the first place, and the benefits of lighter models.

Show notes: https://news.mit.edu/podcast/podcast-...

The Curiosity Unbounded podcast brings you behind the scenes at MIT through conversations between MIT President Sally Kornbluth and the people working in its labs and in the field. Along the way, Sally and her guests discuss pressing issues, as well as what inspires the people running at the world’s toughest challenges at one of the most innovative institutions on the planet.

Watch more videos from MIT: http://www.youtube.com/user/MITNewsOf...

The Massachusetts Institute of Technology is an independent, coeducational, privately endowed university in Cambridge, Massachusetts. Our mission is to advance knowledge; to educate students in science, engineering, technology, humanities and social sciences; and to tackle the most pressing problems facing the world today. We are a community of hands-on problem-solvers in love with fundamental science and eager to make the world a better place.

The MIT YouTube channel features videos about all types of MIT research, including the robot cheetah, LIGO, gravitational waves, mathematics, and bombardier beetles, as well as videos on origami, time capsules, and other aspects of life and culture on the MIT campus. Our goal is to open the doors of MIT and bring the Institute to the world through video.

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Curiosity Unbounded, Ep. 18 (VIDEO): Inside Efficient AI: From GPUs to GPTs

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