III-Nitride Ferroelectrics for Integrated Low-Power and Extreme-Environment Memory
Monday, May 5, 2025 | 4:00 - 5:00pm ET
Hybrid
Zoom & MIT Campus
Collaborating to Advance Research and Innovation on Essential Chips for AI
Microsystems Technology Laboratories
Agreement between MIT Microsystems Technology Laboratories and GlobalFoundries aims to deliver power efficiencies for data centers and ultra-low power consumption for intelligent devices at the edge.
IAP 2025: Expanding Horizons in Computing
January 28–31, 2025
In-person
MIT Schwarzman College of Computing
51 Vassar Street (Bldg 45, 8th floor)
Karl Berggren Named Faculty Head of Electrical Engineering in EECS
Zach Goodale | School of Engineering
Professor who develops technologies to push the envelope of what is possible with photonics and electronic devices succeeds Joel Voldman.
MIT Engineers Create a Chip-based Tractor Beam for Biological Particles
Adam Zewe | MIT News
The tiny device uses a tightly focused beam of light to capture and manipulate cells.
3Qs: Jelena Notaros on the new Silicon Photonics class within 6-5, Electrical Engineering With Computing
Jane Halpern | Department of Electrical Engineering and Computer Science
Professor Jelena Notaros shares more about the new electromagnetics and photonics curriculum within electrical engineering.
Researchers Demonstrate the First Chip-based 3D Printer
Adam Zewe | MIT News
Smaller than a coin, this optical device could enable rapid prototyping on the go.
System Combines Light and Electrons to Unlock Faster, Greener Computing
Alex Shipps | MIT CSAIL
“Lightning” system connects photons to the electronic components of computers using a novel abstraction, creating the first photonic computing prototype to serve real-time machine-learning inference requests.
Machine-learning System Based on Light Could Yield More Powerful, Efficient Large Language Models
Elizabeth A. Thomson | Materials Research Laboratory
MIT system demonstrates greater than 100-fold improvement in energy efficiency and a 25-fold improvement in compute density compared with current systems.
Nano Explorations: Delocalized Photonic Deep Learning on the Internet’s Edge
Monday, March 7, 2023 | 11:00am - 11:45am ET
Speaker: Alex Sludds, MIT PhD Candidate