Scientists observe record-setting electron mobility in a new crystal film
The newly synthesized material could be the basis for wearable thermoelectric and spintronic devices.
Two MIT teams selected for NSF sustainable materials cooperative agreements
The MIT-led projects will investigate novel high-performance designs, materials, processes, and assessment methods for an environmentally sustainable microchip industry.
Propelling atomically layered magnets toward green computers
MIT scientists have tackled key obstacles to bringing 2D magnetic materials into practical use, setting the stage for the next generation of energy-efficient computers.
Startup accelerates progress toward light-speed computing
Lightmatter, founded by three MIT alumni, is using photonic computing to reinvent how chips communicate and calculate.
Learning to grow machine-learning models
New LiGO technique accelerates training of large machine-learning models, reducing the monetary and environmental cost of developing AI applications.
MIT-led teams win National Science Foundation grants to research sustainable materials
The teams will work toward sustainable microchips and topological materials as well as socioresilient materials design.
A new chip for decoding data transmissions demonstrates record-breaking energy efficiency
The chip, which can decipher any encoded signal, could enable lower-cost devices that perform better while requiring less hardware.
Computers that power self-driving cars could be a huge driver of global carbon emissions
Study shows that if autonomous vehicles are widely adopted, hardware efficiency will need to advance rapidly to keep computing-related emissions in check.
Busy GPUs: Sampling and pipelining method speeds up deep learning on large graphs
New technique significantly reduces training and inference time on extensive datasets to keep pace with fast-moving data in finance, social networks, and fraud detection in cryptocurrency.
Breaking the scaling limits of analog computing
New technique could diminish errors that hamper the performance of super-fast analog optical neural networks.
Green computing is super
MIT Lincoln Laboratory's new supercomputing facility reduces energy impacts