EAPS

Auto Added by WPeMatico

MIT projects selected for funding under US Department of Energy’s Genesis Mission

Administration, ai, AI (Artificial Intelligence), Artificial Intelligence, Chemical engineering, Department of Energy (DoE), EAPS, Faculty, Funding, Industry, Laboratory for Nuclear Science, manufacturing, Mechanical engineering, Nuclear science and engineering, Physics, Plasma Science and Fusion Center, Quantum Computing, Research Laboratory of Electronics, School of Engineering, School of Science

MIT researchers are set to contribute to the U.S. Department of Energy’s (DOE) Genesis Mission, with 15 collaborative projects among those selected for funding under Genesis Phase I, DOE announced Wednesday.The Genesis Mission, a national initiative, intends to build “the world’s most powerful integrated science discovery platform” by incentivizing cross-sector collaborations that leverage AI, supercomputing, quantum systems, […]

MIT projects selected for funding under US Department of Energy’s Genesis Mission Read More »

Simpler models can outperform deep learning at climate prediction

Algorithms, Artificial Intelligence, Climate change, Computer modeling, data, EAPS, Earth and atmospheric sciences, Emissions, IDSS, Machine Learning, MIT Schwarzman College of Computing, Pollution, Public health, Research, School of Science, Sustainability

Environmental scientists are increasingly using enormous artificial intelligence models to make predictions about changes in weather and climate, but a new study by MIT researchers shows that bigger models are not always better.The team demonstrates that, in certain climate scenarios, much simpler, physics-based models can generate more accurate predictions than state-of-the-art deep-learning models.Their analysis also

Simpler models can outperform deep learning at climate prediction Read More »