Samantha Smiley

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.

Elizabeth A. Thomson | Materials Research Laboratory A collaboration between MIT and Ericsson will explore new materials for computer chips that mimic the structure of the human…

Jennifer Chu | MIT News Office New findings might help inform the design of more powerful MRI machines or robust quantum computers.

Bilge Yildiz, Ju Li Electrochemical ionic-electronic devices have an immense potential to enable a new domain of programmable hardware for machine intelligence.

Vivienne Sze, Joel Emer This project pursues an integrated framework that includes energy-modeling and performance evaluation tools to systematically explore and estimate the…