For this computer scientist, MIT Open Learning was the start of a life-changing journey
Ana Trišović, who studies the democratization of AI, reflects on a career path that she began as a student downloading free MIT resources in Serbia.
A new way to make graphs more accessible to blind and low-vision readers
The Tactile Vega-Lite system, developed at MIT CSAIL, streamlines the tactile chart design process; could help educators efficiently create these graphics and aid designers in making precise changes.
Device enables direct communication among multiple quantum processors
MIT researchers developed a photon-shuttling “interconnect” that can facilitate remote entanglement, a key step toward a practical quantum computer.
AI tool generates high-quality images faster than state-of-the-art approaches
Researchers fuse the best of two popular methods to create an image generator that uses less energy and can run locally on a laptop or smartphone.
At the core of problem-solving
Stuart Levine ’97, director of MIT’s BioMicro Center, keeps departmental researchers at the forefront of systems biology.
“An AI future that honors dignity for everyone”
As artificial intelligence develops, we must ask vital questions about ourselves and our society, Ben Vinson III contends in the 2025 Compton Lecture.
3D printing approach strings together dynamic objects for you
“Xstrings” method enables users to produce cable-driven objects, automatically assembling bionic robots, sculptures, and dynamic fashion designs.
High-performance computing, with much less code
The Exo 2 programming language enables reusable scheduling libraries external to compilers.
QS World University Rankings rates MIT No. 1 in 11 subjects for 2025
The Institute also ranks second in seven subject areas.
Robotic helper making mistakes? Just nudge it in the right direction
New research could allow a person to correct a robot’s actions in real-time, using the kind of feedback they’d give another human.
A leg up for STEM majors
MIT undergraduates broaden their perspectives and prospects through political science.
AI system predicts protein fragments that can bind to or inhibit a target
FragFold, developed by MIT Biology researchers, is a computational method with potential for impact on biological research and therapeutic applications.
Like human brains, large language models reason about diverse data in a general way
A new study shows LLMs represent different data types based on their underlying meaning and reason about data in their dominant language.
AI model deciphers the code in proteins that tells them where to go
Whitehead Institute and CSAIL researchers created a machine-learning model to predict and generate protein localization, with implications for understanding and remedying disease.
Gift from Sebastian Man ’79, SM ’80 supports MIT Stephen A. Schwarzman College of Computing building
Alumnus is the first major donor to support the building since Stephen A. Schwarzman’s foundational gift.