From physics to generative AI: An AI model for advanced pattern generation
Inspired by physics, a new generative model PFGM++ outperforms diffusion models in image generation.
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.
Martin Luther King Jr. Scholar Brian Nord trains machines to explore the cosmos and fights for equity in research.
To achieve a complete understanding of natural events, it is important to thoroughly look into the characteristics and behaviours of matter in the space and time domain – with the fascinating precision of a detective tracking down clues and mastermind-…
The sensor is responsible for transforming optical images into digital versions. The conversion of light into electrical signals is what allows for a transformation to create magic. Ultimately resulting in the development of a component known as a sens…