TheStaff Ecologists find computer vision models’ blind spots in retrieving wildlife images
Biodiversity researchers tested vision systems on how well they could retrieve relevant nature images. More...
Unlocking the hidden power of boiling — for energy, space, and beyond
Associate Professor Matteo Bucci’s research sheds new light on an ancient process, to improve the...
A new computational model can predict antibody structures more accurately
Using this model, researchers may be able to identify antibody drugs that can target a...
Teaching AI to communicate sounds like humans do
Inspired by the human vocal tract, a new AI model can produce and understand vocal...
Q&A: The climate impact of generative AI
As the use of generative AI continues to grow, Lincoln Laboratory’s Vijay Gadepally describes what...
For healthy hearing, timing matters
Machine-learning models let neuroscientists study the impact of auditory processing on real-world hearing. Fonte: https://news.mit.edu/2025/for-healthy-hearing-timing-matters-0114
New computational chemistry techniques accelerate the prediction of molecules and materials
With their recently-developed neural network architecture, MIT researchers can wring more information out of electronic...
Making the art world more accessible
The startup NALA, which began as an MIT class project, directly matches art buyers with...
Algorithms and AI for a better world
Assistant Professor Manish Raghavan wants computational techniques to help solve societal problems. Fonte: https://news.mit.edu/2025/algorithms-ai-better-world-manish-raghavan-0116
Explained: Generative AI’s environmental impact
Rapid development and deployment of powerful generative AI models comes with environmental consequences, including increased...