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.
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.
With insect-like speed and agility, the tiny robot could someday aid in search-and-rescue missions.
Groundbreaking MIT concert, featuring electronic and computer-generated music, was a part of the 2025 International Computer Music Conference.
By performing deep learning at the speed of light, this chip could give edge devices new capabilities for real-time data analysis.
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.
An electronic stacking technique could exponentially increase the number of transistors on chips, enabling more efficient AI hardware.
This new device uses light to perform the key operations of a deep neural network on a chip, opening the door to high-speed processors that can learn in real-time.
Researchers are leveraging quantum mechanical properties to overcome the limits of silicon semiconductor technology.
The technique leverages quantum properties of light to guarantee security while preserving the accuracy of a deep-learning model.
Fifteen new faculty members join six of the school’s academic departments.