Helping data storage keep up with the AI revolution
Storage systems from Cloudian, co-founded by an MIT alumnus, are helping businesses feed data-hungry AI models and agents at scale.
Search Stories
MIT tool visualizes and edits “physically impossible” objects
By visualizing Escher-like optical illusions in 2.5 dimensions, the “Meschers” tool could help scientists understand physics-defying shapes and spark new designs.
School of Humanities, Arts, and Social Sciences welcomes 14 new faculty for 2025
New professors join Comparative Media Studies/Writing, History, Linguistics and Philosophy, Music and Theater Arts, and Political Science.
New algorithms enable efficient machine learning with symmetric data
This new approach could lead to enhanced AI models for drug and materials discovery.
Robot, know thyself: New vision-based system teaches machines to understand their bodies
Neural Jacobian Fields, developed by MIT CSAIL researchers, can learn to control any robot from a single camera, without any other sensors.
New machine-learning application to help researchers predict chemical properties
ChemXploreML makes advanced chemical predictions easier and faster — without requiring deep programming skills.
Professor Emeritus Keith Johnson, pioneering theorist in materials science and independent filmmaker, dies at 89
Longtime MIT solid-state physicist brought theoretical insights to an experiment-driven discipline — and later, to film.
School of Architecture and Planning recognizes faculty with academic promotions in 2025
The faculty members’ work comprises multifaceted research and scholarship across a wide range of disciplines.
A new way to edit or generate images
MIT researchers found that special kinds of neural networks, called encoders or “tokenizers,” can do much more than previously realized.
The unique, mathematical shortcuts language models use to predict dynamic scenarios
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.
New tool gives anyone the ability to train a robot
MIT engineers designed a versatile interface that allows users to teach robots new skills in intuitive ways.
Can AI really code? Study maps the roadblocks to autonomous software engineering
A team of researchers has mapped the challenges of AI in software development, and outlined a research agenda to move the field forward.
Five MIT faculty elected to the National Academy of Sciences for 2025
Rodney Brooks, Parag Pathak, Scott Sheffield, Benjamin Weiss, Yukiko Yamashita, and 13 MIT alumni are recognized by their peers for their outstanding contributions to research.
Simulation-based pipeline tailors training data for dexterous robots
The PhysicsGen system, developed by MIT researchers, helps robots handle items in homes and factories by tailoring training data to a particular machine.
Changing the conversation in health care
The Language/AI Incubator, an MIT Human Insight Collaborative project, is investigating how AI can improve communications among patients and practitioners.