Inside Efficient AI: From GPUs to GPTs — Song Han
Mar 11, 2026•27 min
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Episode description
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
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