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.
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How MIT LGO alumni are powering Amazon’s global operations
With dual degrees and a passion for leadership, Leaders for Global Operations graduates transform Amazon’s fulfillment network while mentoring future leaders.
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.
New transmitter could make wireless devices more energy-efficient
The flexible chip could boost the performance of current electronics and meet the more stringent efficiency requirements of future 6G technologies.
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.
This “smart coach” helps LLMs switch between text and code
The CodeSteer system could boost large language models’ accuracy when solving complex problems, such as scheduling shipments in a supply chain.
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.