September 20, 2021
PointAcc: Efficient Point Cloud Accelerator
Tuesday, October 19, 2021 | 3:00pm – 4:15pm ET Speakers: Yujun Lin and Song Han, MIT
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September 20, 2021
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
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September 19, 2021
MIT Quest with AI @ MIT Research Blitz
Tuesday, October 12, 2021 | 12pm – 1pm ET Speakers: Bilge Yildiz (MIT) and Jacob Andreas (MIT)
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September 15, 2021
Mixed Conduction in Polymeric Materials: Electrochemical Devices from Biosensing to Neuromorphic Computing
Wednesday, September 15, 2021 | 1 pm ET Speaker: Alberto Salleo, Stanford University
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September 9, 2021
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.
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September 7, 2021
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…
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August 30, 2021
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.
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August 19, 2021
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…
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August 17, 2021
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…
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August 16, 2021
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…
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