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Song Han's research interest is efficient deep learning computing. He received his PhD degree from Stanford University advised by Prof. Bill Dally. He is also an Associate Professor at MIT (songhan.mit.edu). Song proposed the “Deep Compression” techniq
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Song Han is an assistant professor at MIT’s EECS. His research focuses on efficient deep learning computing and TinyML techniques, including model compression, hardware-aware neural architecture search, and AI accelerators. 开发中心 Authors
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Song Han is an associate professor at MIT EECS and distinguished scientist at NVIDIA. His research interest is efficient AI computing. - songhan
Song Han is an associate professor at MIT EECS and distinguished scientist at NVIDIA. His research interest is efficient AI computing. - songhan
Welcome to Songhan Technology (Shenzhen) Co., LTD At Songhan Technology (Shenzhen) Co., LTD, we are dedicated to providing high-quality automotive accessories that enhance both functionality and safety for drivers worldwide. Our flagship store on AliExpress is your go-to destination for a wide...
Song Han Badges 20 Trophies 2 Reputation point 1 Accepted answers 0 Followers 0 Level 694%31,725/32,299 XP Learning Paths Trophy Realize Integrated Analytical Solutions with Azure Synapse Analytics Completed on8/30/2021 Modules Badge Understand data warehouse developer features of Azure Synapse Analyti...