Helping machines understand visual content with AI
Coactive, founded by two MIT alumni, has built an AI-powered platform to unlock new insights from content of all types.
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Animation technique simulates the motion of squishy objects
The approach could help animators to create realistic 3D characters or engineers to design elastic products.
Former MIT researchers advance a new model for innovation
Focused research organizations (FROs) undertake large research efforts and have begun to yield scientific advances.
Teaching AI models what they don’t know
A team of MIT researchers founded Themis AI to quantify AI model uncertainty and address knowledge gaps.
At MIT, Lindsay Caplan reflects on artistic crossroads where humans and machines meet
In the inaugural STUDIO.nano Resonance Lecture, the Brown University assistant professor traced how artists in the 1960s delved into early computer science, cybernetics, and AI.
AI stirs up the recipe for concrete in MIT study
With demand for cement alternatives rising, an MIT team uses machine learning to hunt for new ingredients across the scientific literature.
Teaching AI models the broad strokes to sketch more like humans do
SketchAgent, a drawing system developed by MIT CSAIL researchers, sketches up concepts stroke-by-stroke, teaching language models to visually express concepts on their own and collaborate with humans.
Eight with MIT ties win 2025 Hertz Foundation Fellowships
The fellowships recognize doctoral students who have “the extraordinary creativity and principled leadership necessary to tackle problems others can’t solve.”
3 Questions: How to help students recognize potential bias in their AI datasets
Courses on developing AI models for health care need to focus more on identifying and addressing bias, says Leo Anthony Celi.
Commencement address by Hank Green
“Do not forget how special and bizarre it is to get to live a human life,” the science communicator and video creator told the Class of 2025.
3 Questions: Hank Green on science, communication, and curiosity
“There’s no better use of a day than learning something new,” Green reflected before delivering MIT’s 2025 Commencement address.
An anomaly detection framework anyone can use
PhD student Sarah Alnegheimish wants to make machine learning systems accessible.
Building networks of data science talent
Through collaborations with organizations like BREIT in Peru, the MIT Institute for Data, Systems, and Society is upskilling hundreds of learners around the world in data science and machine learning.
Overlooked cells might explain the human brain’s huge storage capacity
MIT researchers developed a new model of memory that includes critical contributions from astrocytes, a class of brain cells.
MIT announces the Initiative for New Manufacturing
The Institute-wide effort aims to bolster industry and create jobs by driving innovation across vital manufacturing sectors.