by RLE at MIT | Sep 28, 2022 | RLE News Articles
Jane Halpern | Department of Electrical Engineering and Computer Science One of the most critical components of our technological future is easy to overlook. Microelectronics, the devices and circuits at the core of computer and communication chips, are aptly...
by RLE at MIT | Aug 10, 2022 | RLE Recent Papers
Murat Onen, Nicolas Emond, Baoming Wang, Difei Zhang, Frances M. Ross, Ju Li,Bilge Yildiz2, Jesús A. del Alamo DOI: 10.1126/science.abp8064 Abstract: Nanoscale ionic programmable resistors for analog deep learning are 1000 times smaller than biological cells, but...
by RLE at MIT | Aug 10, 2022 | News Links
Engineers working on “analog deep learning” have found a way to propel protons through solids at unprecedented speeds. «more» Related Links: New hardware offers faster computation for artificial intelligence, with much less energy (MIT News) Professor Jesus...
by RLE at MIT | Jan 19, 2022 | RLE News Articles
This image shows the CMOS THz-ID chip. The chip is a collaboration between Profs. Ruonan Han and Anantha P. Chandrakasan. Image courtesy of the researchers; edited by MIT News. By Adam Zewe | MIT News Office The global semiconductor shortage has...
