13:14
TEDxMIT: Efficient AI Computing
40:16
TinyML and Efficient Deep Learning
58:49
TinyML and Efficient Deep Learning on IoT Devices
56:31
MIT Prof Song Han on TinyML: Reducing AIs Carbon Footprint. Stanford MLSys Seminar Episode 9
35:47
Efficient AI: Reducing the Carbon Footprint of AI in the Internet of Things (IoT)
31:50
"Once-for-All" DNNs: Simplifying Design of Efficient Models for Diverse Hardware
41:58
Lite Transformer and Hardware-aware Transformer, Invited Talk @ Microsoft Research:
39:35
CVPR'20 tutorial: AutoML for TinyML with Once-for-All Network
55:46
Song Han's PhD Defense. June 1, 2017 @Stanford
33:53
FPGA'17 tutorial
36:39
Toward Efficient Deep Neural Network Deployment: Deep Compression and EIE, Song Han
17:39
EIE: Efficient Inference Engine on Compressed Deep Neural Network
21:22
ICLR 2016 Best Paper Award: Deep Compression by Song Han
33:32
Techniques for Efficient Implementation of Deep Neural Networks, Song Han @ Embedded vision summit
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