MADE with Machine Learning: Utilizing AI to Design the Next Generation of Semiconductor Devices
With the help of advanced, physics-informed machine learning (PIML) techniques, Professors Enrico Bellotti & Luca Dal Negro are setting out to transform the status quo of electronic device design, with the support of a $2.5M grant from the Army Research Office.
Faster, Greener, Cheaper, More Secure: Yazicigil’s GRAND Project Pushes Forward with New Funding
Professor Rabia Yazicigil and her MIT collaborators are on a roll. The multi-institutional team behind the GRAND universal decoder algorithm and its first realization in hardware have been awarded $5M in funding by the Defense Advanced Research Program Agency (DARPA) to continue developing revolutionary improvements to wireless communications.
Arslan Riaz awarded COMSNETS 2022 Best Research Demo Award
Arslan Riaz, PhD candidate (ECE), won the “Best Research Demo” award at the 14th International Conference on COMmunication Systems & NETworkS (COMSNETS 2022) January 3-8, 2022. Riaz demonstrated the first fully-integrated universal Maximum Likelihood Decoder in 40 nm CMOS using the Guessing Random Additive Noise Decoding (GRAND) algorithm. This novel technology provides a universal system for […]
A GRAND Endeavor: Building the Future of Wireless Communication
We live in a wireless society. With the advent of 5G communications and the ever more ubiquitous Internet of Things (IoT), the invisible traffic across wireless networks will only increase exponentially … and with this increased traffic looms the inevitable threat of traffic jams.
The Universal Decoder That Works in One Microsecond
By Patrick L. Kennedy Assistant Professor Rabia Yazicigil (ECE) and colleagues from MIT and Maynooth have developed the first silicon chip that can decode any error-correcting code—even codes that don’t yet exist— potentially leading to faster and more efficient 5G networks and connected devices. “This could change the way we communicate and store information,” says […]