TheStaff The multifaceted challenge of powering AI
Providing electricity to power-hungry data centers is stressing grids, raising prices for consumers, and slowing...
Toward video generative models of the molecular world
Starting with a single frame in a simulation, a new system uses generative AI to...
A platform to expedite clean energy projects
Station A, founded by MIT alumni, makes the process of buying clean energy simple for...
Expanding robot perception
Associate Professor Luca Carlone is working to give robots a more human-like awareness of their...
New training approach could help AI agents perform better in uncertain conditions
Sometimes, it might be better to train a robot in an environment that’s different from...
MIT students’ works redefine human-AI collaboration
Projects from MIT course 4.043/4.044 (Interaction Intelligence) were presented at NeurIPS, showing how AI transforms...
3 Questions: Modeling adversarial intelligence to exploit AI’s security vulnerabilities
MIT CSAIL Principal Research Scientist Una-May O’Reilly discusses how she develops agents that reveal AI...
With generative AI, MIT chemists quickly calculate 3D genomic structures
A new approach, which takes minutes rather than days, predicts how a specific DNA sequence...
User-friendly system can help developers build more efficient simulations and AI models
By automatically generating code that leverages two types of data redundancy, the system saves bandwidth,...
Introducing the MIT Generative AI Impact Consortium
The consortium will bring researchers and industry together to focus on impact. Fonte: https://news.mit.edu/2025/introducing-mit-generative-ai-impact-consortium-0203