December 12, 2018 MTL Seminar Series Scalable Solid State Quantum Information Processing Sara Mouradian, MIT November 28, 2018 MTL Executive Seminar Age of Accelerated Innovation: From Quantum to Systems and Beyond Ahmad Bahai, CTO, Texas Instruments November 14, 2018 MTL Seminar Series xDNN - Xilinx DNN Processor for Deep Convolution Neural Networks Ashish Sirasao, Xilinx November 7, 2018 MTL Seminar Series More Moore: A call to superheroes across the stack Parthasarathy Ranganathan, Google October 3, 2018 MTL Seminar Series Materials for STT-MRAM Applications Guohan Hu, IBM Research September 12, 2018 MTL Seminar Series All-Mechanical Micro-Scale Radios Clark T.-C. Nguyen, UC Berkeley May 9, 2018 MTL Seminar Series The Uncommon Nature of Point Defects in Organic-Inorganic Perovskite Solar Cells Olivia Hentz, MIT May 2, 2018 EECS Doctoral Dissertations Architecture Design for Highly Flexible and Energy-Efficient Deep Neural Network Accelerators Yu-Hsin Chen, MIT April 27, 2018 The Future of Nanoscale Electronics Symposium Closing Remarks Dimitri Antoniadis, MIT April 27, 2018 The Future of Nanoscale Electronics Symposium Panel Discussion Chaired by Dr. Mark Rodder, includes Dr. Ghavam Shahidi, IBM, and all other invited speakers Load More
December 12, 2018 MTL Seminar Series Scalable Solid State Quantum Information Processing Sara Mouradian, MIT
November 28, 2018 MTL Executive Seminar Age of Accelerated Innovation: From Quantum to Systems and Beyond Ahmad Bahai, CTO, Texas Instruments
November 14, 2018 MTL Seminar Series xDNN - Xilinx DNN Processor for Deep Convolution Neural Networks Ashish Sirasao, Xilinx
November 7, 2018 MTL Seminar Series More Moore: A call to superheroes across the stack Parthasarathy Ranganathan, Google
September 12, 2018 MTL Seminar Series All-Mechanical Micro-Scale Radios Clark T.-C. Nguyen, UC Berkeley
May 9, 2018 MTL Seminar Series The Uncommon Nature of Point Defects in Organic-Inorganic Perovskite Solar Cells Olivia Hentz, MIT
May 2, 2018 EECS Doctoral Dissertations Architecture Design for Highly Flexible and Energy-Efficient Deep Neural Network Accelerators Yu-Hsin Chen, MIT
April 27, 2018 The Future of Nanoscale Electronics Symposium Panel Discussion Chaired by Dr. Mark Rodder, includes Dr. Ghavam Shahidi, IBM, and all other invited speakers
