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 creativity, education, and interaction in unexpected ways.
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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 the one where it will be deployed.
Expanding robot perception
Associate Professor Luca Carlone is working to give robots a more human-like awareness of their environment.
How to make small modular reactors more cost-effective
Youyeon Choi is leaning on her work experience in South Korea — a leading nation in nuclear energy — and her love of multi-physics modeling as she pursues her doctoral research.
A platform to expedite clean energy projects
Station A, founded by MIT alumni, makes the process of buying clean energy simple for property owners.
Toward video generative models of the molecular world
Starting with a single frame in a simulation, a new system uses generative AI to emulate the dynamics of molecules, connecting static molecular structures and developing blurry pictures into videos.
“Forever grateful for MIT Open Learning for making knowledge accessible and fostering a network of curious minds”
Psychologist and former professional dancer Bia Adams discovered a passion for computational neuroscience thanks to open-access MIT educational resources.
Bryan Reimer named to FAA Rulemaking Committee
CTL research scientist will provide recommendations to the Federal Aviation Administration focused on the most significant human-factor risks to aviation safety.
The multifaceted challenge of powering AI
Providing electricity to power-hungry data centers is stressing grids, raising prices for consumers, and slowing the transition to clean energy.
Explained: Generative AI’s environmental impact
Rapid development and deployment of powerful generative AI models comes with environmental consequences, including increased electricity demand and water consumption.
Algorithms and AI for a better world
Assistant Professor Manish Raghavan wants computational techniques to help solve societal problems.
Making the art world more accessible
The startup NALA, which began as an MIT class project, directly matches art buyers with artists.
Three MIT students named 2026 Schwarzman Scholars
Yutao Gong, Brandon Man, and Andrii Zahorodnii will spend 2025-26 at Tsinghua University in China studying global affairs.
Fast control methods enable record-setting fidelity in superconducting qubit
The advance holds the promise to reduce error-correction resource overhead.
Q&A: The climate impact of generative AI
As the use of generative AI continues to grow, Lincoln Laboratory's Vijay Gadepally describes what researchers and consumers can do to help mitigate its environmental impact.