MIT spinout Gradiant reduces companies’ water use and waste by billions of gallons each day
The company builds water recycling, treatment, and purification solutions for some of the world’s largest brands.
The multifaceted challenge of powering AI
Providing electricity to power-hungry data centers is stressing grids, raising prices for consumers, and slowing the transition to clean energy.
Explained: Generative AI’s environmental impact
Rapid development and deployment of powerful generative AI models comes with environmental consequences, including increased electricity demand and water consumption.
Q&A: The climate impact of generative AI
As the use of generative AI continues to grow, Lincoln Laboratory's Vijay Gadepally describes what researchers and consumers can do to help mitigate its environmental impact.
A nonflammable battery to power a safer, decarbonized future
The startup Alsym Energy, co-founded by Professor Kripa Varanasi, is hoping its batteries can link renewables with the industrial sector and beyond.
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.