Curiosity Unbounded
Curiosity Unbounded
Massachusetts Institute of Technology (MIT)
Inside Efficient AI: From GPUs to GPTs — Song Han
27 minutes Posted Mar 11, 2026 at 4:00 am.
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Song Han is an associate professor in Electrical Engineering and Computer Science whose research focuses on efficient AI computing. His work spans high-resolution computer vision for autonomous vehicles, more efficient image generation, improved GPT performance, and novel methods for training machine learning models. He also leads the Efficient AI team at NVIDIA Research, focused on optimizing GPU-accelerated AI systems.Show notes and transcript:https://news.mit.edu/podcast/podcast-curiosity-unbounded-episode-18-inside-efficient-ai-gpus-gpts (https://news.mit.edu/podcast/podcast-curiosity-unbounded-episode-18-inside-efficient-ai-gpus-gpts)Join the mailing list or send us feedback:https://eepurl.com/ixPQPA (https://eepurl.com/ixPQPA)