This New Startup has Built a Record-breaking 256-qubit Quantum Computer
Siobhan Roberts | MIT Technology Review
QuEra Computing, launched by physicists at Harvard and MIT, is trying a different quantum approach to tackle impossibly hard computational tasks.
Amplifying Human Potential: Responsible AI & Human-AI Collaboration Research
Friday, November 19, 2021 | 12:00pm ET
Lama Nachman, Intel Corporation
Perspectives and Opportunities in AI Hardware
Friday, November 5, 2021 | 11:00am-12:00pm ET
Speaker: Dr. Jeffrey L. Burns, IBM Research
From Smaller Transistors to Cleaner Qubits: The Continuous Quest for Higher Performance in Computing
Wednesday, October 20, 2021 | 12:00pm ET
Speaker: Iuliana Radu, IMEC
Atomic-layer-deposited Atomically Thin In2O3 Channel for BEOL Logic and Memory Applications
Wednesday, October 13, 2021 | 1 pm ET
Speaker: Peide (Peter) Ye, Purdue University
MIT Quest with AI @ MIT Research Blitz
Tuesday, October 12, 2021 | 12pm – 1pm ET
Speakers: Bilge Yildiz (MIT) and Jacob Andreas (MIT)
Mixed Conduction in Polymeric Materials: Electrochemical Devices from Biosensing to Neuromorphic Computing
Wednesday, September 15, 2021 | 1 pm ET
Speaker: Alberto Salleo, Stanford University
A Universal System for Decoding Any Type of Data Sent Across a Network
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.
Microsystems Technology Laboratories (MTL) Annual Research Report
Microsystems Technology Laboratories (MTL)
Annual report encompassing the many research areas and disciplines housed in the Microsystems Technology Laboratories.
In-Memory Compute Accelerators
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 investigate side channel vulnerabilities and develop protections for at-edge custom in-memory computing (IMC) integrated circuits.