• Home
  • About
    • News
    • Mission Statement
    • Research Today
    • History
      • The RLE Incubator
      • Timeline: 1946–1959
      • Timeline: 1960–1979
      • Timeline: 1980–1999
      • Timeline: 2000-Today
      • Past Directors
  • People
    • Principal Investigators
    • RLE Headquarters
    • Administrative Assistants
    • General Staff Directory
  • Research
    • Major Themes
    • Research Groups
    • Sponsors
    • RLE Research Services
  • Services
    • Online Resources
    • Finance and Sponsored Programs
    • Administration and Human Resources
    • Office of the Director
    • Information Systems and Networking
    • EHS
    • Strategic Communications & Media Design
    • T.J. Rodgers RLE Laboratory
    • FAQ
  • Contact
    • Maps and Directions
Massachusetts Microelectronics Internship Program: a big focus on critical tiny components

Massachusetts Microelectronics Internship Program: a big focus on critical tiny components

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...
Nanosecond protonic programmable resistors for analog deep learning

Nanosecond protonic programmable resistors for analog deep learning

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...
Nanosecond protonic programmable resistors for analog deep learning

New hardware offers faster computation for artificial intelligence, with much less energy

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...
Reasserting U.S. leadership in microelectronics

Reasserting U.S. leadership in microelectronics

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...
Copyright © 2025 – RLE at MIT – all rights reserved – Accessibility
  • Follow
  • Follow
  • Follow
  • Follow