Skip to content
March 2020: “Faster, Power-Efficient Video Recognition ” @ EmTech Digital. April 2020: “AutoML for TinyML with Once-for-all-Network ” @ ICLR’20 NAS workshop April 2020: “Once-for-All: Train One Network and Specialize it for Efficient Deployment ” @ TinyML Webinar. Nov 2020: “Putting AI on a Diet: TinyML and Efficient Deep Learning” @ MIT ILP webinar session on low power/edge/efficient computing Jan 2021: “Putting AI on a Diet: TinyML and Efficient Deep Learning” @ Microsoft Jan 2021: “Putting AI on a Diet: TinyML and Efficient Deep Learning ” @ Stanford MLSys seminar Jan 2021: “Putting AI on a Diet: TinyML and Efficient Deep Learning” @ Boeing Jan 2021: “Efficient AI: Reducing the Carbon Footprint of AI in the Internet of Things (IoT) ” @ MIT ILP Japan conference March 2021: “Putting AI on a Diet: TinyML and Efficient Deep Learning” @ TinyML Summit as Keynote. April 2021: “Putting AI on a Diet: TinyML and Efficient Deep Learning” @ ISQED’21 Embedded Tutorials . April 2021: “Putting AI on a Diet: TinyML and Efficient Deep Learning” @ MLSys’21 On-Device Intelligence Workshop . April 2021: “Putting AI on a Diet: TinyML and Efficient Deep Learning” @ Apple’s On-Device ML Workshop . May 2021: “Putting AI on a Diet: TinyML and Efficient Deep Learning” @ Princeton University. June 2021, “Putting AI on a Diet: TinyML and Efficient Deep Learning” @ Shanghai Jiaotong University, Shanghai, China. June 2021: “Putting AI on a Diet: TinyML and Efficient Deep Learning” @ Princeton University. June 2021: “Putting AI on a Diet: TinyML and Efficient Deep Learning” @ Ford. June 2021: “Putting AI on a Diet: TinyML and Efficient Deep Learning” @ Samsung June 2021: “Putting AI on a Diet: TinyML and Efficient Deep Learning” @ MLOps World – Machine Learning in Production . June 2021: “Putting AI on a Diet: TinyML and Efficient Deep Learning” @ Efficient Deep Learning for Computer Vision Workshop at CVPR . June 2021: “Machine Learning for Analog and Digital Design” @ VLSI symposia workshop on AI/Machine Learning for Circuit Design and Optimization . June 2021: “NAAS: Neural-Accelerator Architecture Search” @ 4th International Workshop on AI-assisted Design for Architecture at ISCA . June 2021: “MCUNet and Tiny Machine Learning for Mobile Devices” @ Apple. July 2021, “TinyML and Efficient Deep Learning”, Alibaba. August 2021, “TinyML and Efficient Deep Learning”, Machine Learning Summer School 2021 Taiwan. August 2021, “Putting AI On A Diet: TinyML and Efficient Deep Learning”, Silicon Research Cooperation (SRC) AI Hardware E-Workshops. August 2021, “Frontiers of AI Accelerators: Technologies, Circuits and Applications”, Hong Kong University of Science and Technology, AI Chip Center for Emerging Smart Systems. August 2021, “AutoML for Tiny Machine Learning”, Keynote at AutoML Workshop at Knowledge Discovery and Data Mining (KDD) Conference . September 2021, “One-For-All Network on FPGAs”, Xilinx Adaptive Computing Conference . September 2021, “TinyML and Efficient Deep Learning”, Keynote at Synopsys ARC Processor Summit . Virtual Due to Covid-19. October 2021, “Today’s AI is Too Big”, Industry-Academia Partnership. October 2021, “Challenges and Directions of Low-Power Computer Vision”, International Conference on Computer Vision (ICCV) Workshop Panel . October 2021, “TinyML Techniques for Greener, Faster and Sustainable AI”, IBM IEEE CAS/EDS – AI Compute Symposium , distinguished speaker. October 2021, “Computationally Efficient Large-Scale AI”, Microsoft Research Summit . October 2021, “Efficient Methods & Hardware for TinyML”, Sony Professor Lecture Series. November 2021, “Plenary: Putting AI on a Diet: TinyML and Efficient Deep Learning”, TinyML Technical Forum Asia . November 2021, “TinyML and Efficient Deep Learning for Automotive Applications”, Hyundai Motor Group Developers Conference .
Scroll Up Scroll Up
