Energy-Efficient AI

Talk at MIT College of Computing celebration event: Computing at the Crossroads Intersections of Research and Education. For more on the event, please see https://helloworld.mit.edu/ For more about our research in the Energy-Efficient Multimedia Systems Group, please visit http://www.rle.mit.edu/eems/ Works highlighted in this talk include * Y.-H. Chen, T. Krishna, J. Emer, V. Sze, “Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks,” IEEE Journal of Solid State Circuits (JSSC), ISSCC Special Issue, Vol. 52, No. 1, pp. 127-138, January 2017. [Project website http://eyeriss.mit.edu] * A. Suleiman, Z. Zhang, L. Carlone, S. Karaman, V. Sze, “Navion: A 2mW Fully Integrated Real-Time Visual-Inertial Odometry Accelerator for Autonomous Navigation of Nano Drones,” IEEE Journal of Solid State Circuits (JSSC), VLSI Symposia Special Issue, Vol. 54, No. 4, pp. 1106-1119, April 2019. [Project website http://navion.mit.edu] * H.-Y. Lai, G. Saavedra Peña, C. Sodini, T. Heldt, V. Sze, “Enabling Saccade Latency Measurements with Consumer-Grade Cameras,” IEEE International Conference on Image Processing (ICIP), October 2018. http://www.rle.mit.edu/eems/wp-content/uploads/2018/10/2018_icip_saccades.pdf