“FUTURE PHASES” showcases new frontiers in music technology and interactive performance
Groundbreaking MIT concert, featuring electronic and computer-generated music, was a part of the 2025 International Computer Music Conference.
Groundbreaking MIT concert, featuring electronic and computer-generated music, was a part of the 2025 International Computer Music Conference.
Neural Jacobian Fields, developed by MIT CSAIL researchers, can learn to control any robot from a single camera, without any other sensors.
A computer vision study compares changes in pedestrian behavior since 1980, providing information for urban designers about creating public spaces.
ChemXploreML makes advanced chemical predictions easier and faster — without requiring deep programming skills.
The faculty members’ work comprises multifaceted research and scholarship across a wide range of disciplines.
MIT researchers found that special kinds of neural networks, called encoders or “tokenizers,” can do much more than previously realized.
The AI-enabled platform serves as a hub for MIT’s lifelong learning opportunities.
Language models follow changing situations using clever arithmetic, instead of sequential tracking. By controlling when these approaches are used, engineers could improve the systems’ capabilities.
The simulations matched results from an underground lab experiment in Switzerland, suggesting modeling could be used to validate the safety of nuclear disposal sites.
The CodeSteer system could boost large language models’ accuracy when solving complex problems, such as scheduling shipments in a supply chain.
A team of researchers has mapped the challenges of AI in software development, and outlined a research agenda to move the field forward.
A new approach for testing multiple treatment combinations at once could help scientists develop drugs for cancer or genetic disorders.
CellLENS reveals hidden patterns in cell behavior within tissues, offering deeper insights into cell heterogeneity — vital for advancing cancer immunotherapy.
The Language/AI Incubator, an MIT Human Insight Collaborative project, is investigating how AI can improve communications among patients and practitioners.
An AI pipeline developed by CSAIL researchers enables unique hydrodynamic designs for bodyboard-sized vehicles that glide underwater and could help scientists gather marine data.