To study how chips really work, MIT researchers built their own operating system
A new kernel called Fractal gives researchers a cleaner view of what’s happening inside a processor, and has already surfaced previously unknown behavior in Apple’s M1.
A new kernel called Fractal gives researchers a cleaner view of what’s happening inside a processor, and has already surfaced previously unknown behavior in Apple’s M1.
By using a thin layer of diamond to manage excessive heat, researchers can boost the speed and energy-efficiency of next-generation wireless devices.
With a novel design, MIT researchers overcame a stubborn problem that has limited the effectiveness of chip-based systems for lidar.
Ultra-efficient chip design enables extremely strong cryptography algorithms to run on energy-constrained edge devices.
In “Priority Technologies,” MIT faculty examine key areas of innovation that can drive American prosperity and security — now and in the decades ahead.
By enabling two chips to authenticate each other using a shared fingerprint, this technique can improve privacy and energy efficiency.
New technique could improve the scalability of trapped-ion quantum computers, an essential step toward making them practically useful.
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.
Researchers designed a tiny receiver chip that is more resilient to interference, which could enable smaller 5G “internet of things” devices with longer battery lives.
Preventing 3D integrated circuits from overheating is key to enabling their widespread use.
Speakers described challenges and potential solutions for producing materials to meet demands associated with data centers, infrastructure, and other technology.
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.
Researchers developed a scalable, low-cost device that can generate high-power terahertz waves on a chip, without bulky silicon lenses.
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.