Microsystems Technology Laboratories
Microsystems Technology Laboratories

Microsystems Technology Laboratories

Artificial Intelligence Computer chips Computer science and technology Electrical engineering and computer science (EECS) Electronics Energy Materials science and engineering Microsystems Technology Laboratories MIT Schwarzman College of Computing MIT.nano Nanoscience and nanotechnology Research School of Engineering Sustainable computing

New materials could boost the energy efficiency of microelectronics

By stacking multiple active components based on new materials on the back end of a computer chip, this new approach reduces the amount of energy wasted during computation.

Artificial Intelligence Arts Automation computer-vision machine learning Mechanical engineering Microsystems Technology Laboratories MIT Libraries MIT.nano Research School of Engineering Visual arts

Have a damaged painting? Restore it in just hours with an AI-generated “mask”

A new method can physically restore original paintings using digitally constructed films, which can be removed if desired.

Artificial Intelligence Cleaner industry Collaboration Computer chips Electrical engineering and computer science (EECS) Electronics Energy efficiency Industry Microsystems Technology Laboratories MIT.nano Photonics Research Research Laboratory of Electronics School of Engineering Semiconductors Silicon Sustainable computing

Collaborating to advance research and innovation on essential chips for AI

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.

Artificial Intelligence Computer science and technology DMSE Electrical engineering and computer science (EECS) Electronics Energy machine learning Materials science and engineering Microsystems Technology Laboratories MIT Schwarzman College of Computing MIT.nano Nanoscience and nanotechnology Nuclear science and engineering Research School of Engineering

Nanoscale transistors could enable more efficient electronics

Researchers are leveraging quantum mechanical properties to overcome the limits of silicon semiconductor technology.