Climate Implications of Computing & Communications

Thursday, March 3 & Friday, March 4, 2022 | 10:00am - 2:00pm ET Multiple Speakers


0 Comments2 Minutes

Memristor-based Hybrid Analog-Digital Computing Platform for Mobile Robotics

Monday, February 28, 2022 | 1:00 PM – 2:00 PM ET Speaker: Wei Wu, University of Southern California


0 Comments2 Minutes

Brain-inspired Computing and Haptic Intelligence

Thursday, February 24, 2022 | 2:00 pm ET Speaker: Shriram Ramanathan, Purdue University


0 Comments1 Minutes

Semiconductor Technology Translation & Hard-Tech Startups

Tuesday, February 15, 2022 | Full Day Organized by State University of New York, Massachusetts Institute of Technology, and Rensselaer Polytechnic Institute


0 Comments1 Minutes

Tiny Materials Lead to a Big Advance in Quantum Computing

Adam Zewe | MIT News Office MIT researchers are able to shrink the footprint of a qubit by two orders of magnitude without sacrificing performance.


0 Comments1 Minute

How MIT’s Muriel Medard Pioneered the Universal Decoder

Kathy Pretz | IEEE Spectrum Researchers developed a new algorithm and created an efficient silicon chip that eliminates the need for custom decoding hardware to spot signal…


0 Comments1 Minute

A New Language for Quantum Computing

Rachel Gordon | MIT CSAIL Twist is an MIT-developed programming language that can describe and verify which pieces of data are entangled to prevent bugs and properly compute in a…


0 Comments1 Minute

Education and Workforce Development for the U.S. Microelectronics Industry

Thursday, February 3, 2022 | 9:45am - 5:00pm EST Organized by State University of New York, Massachusetts Institute of Technology, and Rensselaer Polytechnic Institute


0 Comments1 Minutes

Reasserting U.S. Leadership in Microelectronics

Adam Zewe | MIT News Office MIT researchers lay out a strategy for how universities can help the U.S. regain its place as a semiconductor superpower.


0 Comments1 Minute

TinyML is Bringing Neural Networks to Small Microcontrollers

Ben Dickson | TechTalks Tiny machine learning, or TinyML, suited for devices with limited memory and processing power, and in which internet connectivity is either non-present or…


0 Comments1 Minutes

Privacy Preference Center