PointAcc: Efficient Point Cloud Accelerator

Tuesday, October 19, 2021 | 3:00pm – 4:15pm ET Speakers: Yujun Lin and Song Han, MIT


0 Comments3 Minutes

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


0 Comments2 Minutes

MIT Quest with AI @ MIT Research Blitz

Tuesday, October 12, 2021 | 12pm – 1pm ET Speakers: Bilge Yildiz (MIT) and Jacob Andreas (MIT)


0 Comments2 Minutes

Mixed Conduction in Polymeric Materials: Electrochemical Devices from Biosensing to Neuromorphic Computing

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


0 Comments3 Minutes

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.


0 Comments1 Minutes

Q&A: Dina Katabi on a “Smart” Home with Actual Intelligence

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…


0 Comments1 Minutes

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.


0 Comments1 Minutes

Natural Language Processing Accelerator for Transformer Models

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…


0 Comments1 Minutes

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…


0 Comments1 Minutes

3D Integration of AI Hardware with Direct Analog Input from Sensor Arrays

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…


0 Comments1 Minute