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Explained: Generative AI’s environmental impact - MIT News Plus, generative AI models have an especially short shelf-life, driven by rising demand for new AI applications Companies release new models every few weeks, so the energy used to train prior versions goes to waste, Bashir adds New models often consume more energy for training, since they usually have more parameters than their predecessors
Using liquid air for grid-scale energy storage - MIT News The model then draws on state-of-the-art pricing data that’s released every year by the National Renewable Energy Laboratory (NREL) and is widely used by energy modelers worldwide The NREL dataset forecasts prices, construction and retirement of specific types of electricity generation and storage facilities, and more, assuming eight
A new approach could fractionate crude oil using much less energy “Roughly 1 percent of global energy use goes into separating crude oil into gasoline, diesel, and heating oil,” writes Aamir Khollam for Interesting Engineering This new membrane “excelled in lab tests…[and] effectively separated real industrial oil samples containing naphtha, kerosene, and diesel ”
A nonflammable battery to power a safer, decarbonized future Now Alsym Energy has developed a nonflammable, nontoxic alternative to lithium-ion batteries to help renewables like wind and solar bridge the gap in a broader range of sectors The company’s electrodes use relatively stable, abundant materials, and its electrolyte is primarily water with some nontoxic add-ons
New facility to accelerate materials solutions for fusion energy By utilizing this approach, the PSFC is executing a major public-private partnership in fusion energy, realizing a research model that the U S fusion community has only recently started to explore, and demonstrating the crucial role that universities can play in the acceleration of the materials and technology required for fusion energy
Engineers develop an efficient process to make fuel from carbon dioxide “The MIT process gets closer to an ambitious dream: turning captured CO2 into a feedstock for clean fuel that replaces conventional batteries and stores electricity for months or years,” writes Fialka “That could fill gaps in the nation's power grids as they transition from fossil fuels to intermittent solar and wind energy ”
Photonic processor could enable ultrafast AI computations with extreme . . . Researchers developed a fully integrated photonic processor that can perform all the key computations of a deep neural network on a photonic chip, using light This advance could improve the speed and energy-efficiency of running intensive deep learning models for applications like lidar, astronomical research, and navigation
Confronting the AI energy conundrum - MIT News “The energy demands of AI are a significant challenge, but we also have an opportunity to harness these vast computational capabilities to contribute to climate change solutions,” said Evelyn Wang, MIT vice president for energy and climate and the former director at the Advanced Research Projects Agency-Energy (ARPA-E) at the U S
Unlocking the secrets of fusion’s core with AI-enhanced simulations . . . It only took three additional iterations of CGYRO to explore an alternate scenario that predicted ITER could produce almost the same amount of energy with about half the input power The surrogate-enhanced CGYRO model revealed that the temperature of the plasma core — and thus the fusion reactions — wasn’t overly affected by less power
Energy | MIT News | Massachusetts Institute of Technology A new approach could fractionate crude oil using much less energy MIT researchers’ new membrane separates different types of fuel based on their molecular size, eliminating the need for energy-intensive crude oil distillation May 22, 2025 Read full story →