Samantha Smiley

Wednesday, September 15, 2021 | 1 pm ET Speaker: Alberto Salleo, Stanford University

Adam Zewe | MIT News Office New chip eliminates the need for specific decoding hardware, could boost efficiency of gaming systems, 5G networks, the internet of things, and more.

Kim Martineau | MIT Schwarzman College of Computing MIT professor is designing the next generation of smart wireless devices that will sit in the background, gathering and…

Microsystems Technology Laboratories (MTL) Annual report encompassing the many research areas and disciplines housed in the Microsystems Technology Laboratories.

Song Han, Anantha Chandrakasan This project aims to develop efficient processors for natural language processing directly on an edge device to ensure privacy, low latency and…

Anantha Chandrakasan Many edge machine learning accelerators are responsible for processing and storing sensitive data that could be of value to attackers. This project plans to…

Jeehwan Kim This research group works on AI hardware based on memristor neural networks with emphasis on ultra-low power operation for inference and online training and 3D…

Jennifer Chu | MIT News Office The design could help restore motor function after stroke, enhance virtual gaming experiences.

Luqiao Liu, Marc Baldo Networks formed by devices with intrinsic stochastic switching properties can be used to build Boltzmann machine, which has great efficiencies compared with…

Song Han This project pursues efficient machine learning for mobile devices where hardware resources and energy budgets are very limited.