Scientists use generative AI to answer complex questions in physics
A new technique that can automatically classify phases of physical systems could help scientists investigate novel materials.
A new technique that can automatically classify phases of physical systems could help scientists investigate novel materials.
Despite these challenges, the successful Starship launch is a monumental achievement. It represents a significant leap forward in space exploration technology and has the potential to revolutionize how we interact with space. Elon Musk, whether admired…
The MIT seniors will pursue graduate studies at Cambridge University.
MIT researchers propose “PEDS” method for developing models of complex physical systems in mechanics, optics, thermal transport, fluid dynamics, physical chemistry, climate, and more.
Inspired by physics, a new generative model PFGM++ outperforms diffusion models in image generation.
MIT Plasma Science and Fusion Center will receive DoE support to improve access to fusion data and increase workforce diversity.
The MIT Schwarzman College of Computing awards seed grants to seven interdisciplinary projects exploring AI-augmented management.
Researchers develop a machine-learning technique that can efficiently learn to control a robot, leading to better performance with fewer data.
String Theory seeks to unify quantum mechanics and describes how extremely small particles behave and how gravity works in very large dimensions. It has also led to the proposal of other related ideas, such as supersymmetry, which suggests the existenc…
Recipients Luis Antonio Benítez, Carolina Cuesta-Lazaro, and Fernando Romero López receive support for their scientific research.