Efficient Computing for AI and Robotics
June 4, 2019
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Mit Eems Group Pi Vivienne Sze Episodes Around June 4, 2019
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50:51Now PlayingEfficient Computing for AI and Robotics
YouTube Description
as posted by the channelIn this talk, we will describe how the joint algorithm and hardware design can be used to reduce energy consumption while delivering real-time and robust performance for applications including deep learning, computer vision, autonomous navigation/exploration, and video/image processing.
This talk has a greater emphasis on our AI work compared to "Efficient Computing for Robotics and AI" which focuses more on our robotics work.
Works highlighted in this talk include
* A. Suleiman, Z. Zhang, L. Carlone, S. Karaman, V. Sze, “NavionA 2mW Fully Integrated RealTime VisualInertial Odometry Accelerator for Autonomous Navigation of Nano Drones,” IEEE Journal of SolidState Circuits (JSSC), VLSI Symposia Special Issue, Vol. 54, No. 4, pp. 11061119, April 2019. [Project website ]
* Y.H. Chen, T. Krishna, J. Emer, V. Sze, “EyerissAn EnergyEfficient Reconfigurable Accelerator for Deep Convolutional Neural Networks,” IEEE Journal of SolidState Circuits (JSSC), ISSCC Special Issue, Vol. 52, No. 1, pp. 127138, January 2017. [Project website ]
* A. Suleiman*, Y.H. Chen*, J. Emer, V. Sze, “Towards Closing the Energy Gap Between HOG and CNN Features for Embedded Vision,” IEEE International Symposium of Circuits and Systems (ISCAS), Invited Paper, May 2017.
* T.J. Yang, Y.H. Chen, V. Sze, “Designing EnergyEfficient Convolutional Neural Networks using EnergyAware Pruning,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 2017.
* T.J. Yang, A. Howard, B. Chen, X. Zhang, A. Go, M. Sandler, V. Sze, H. Adam, “NetAdaptPlatformAware Neural Network Adaptation for Mobile Applications,” European Conference on Computer Vision (ECCV), September 2018.
*D. Wofk*, F. Ma*, T.J. Yang, S. Karaman, V. Sze, “FastDepthFast Monocular Depth Estimation on Embedded Systems,” IEEE International Conference on Robotics and Automation (ICRA), May 2019.
*Y.H. Chen, T.J Yang, J. Emer, V. Sze, “Eyeriss v2A Flexible Accelerator for Emerging Deep Neural Networks on Mobile Devices,” to appear in IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), June 2019.
* P. Z. X. Li*, Z. Zhang*, S. Karaman, V. Sze, “Highthroughput Computation of Shannon Mutual Information on Chip,” RoboticsScience and Systems (RSS), June 2019.
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