MIT graduate engineering and business programs ranked highly by U.S. News for 2025-26
Graduate engineering program is No. 1 in the nation; MIT Sloan is No. 5.
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Graduate engineering program is No. 1 in the nation; MIT Sloan is No. 5.
“InteRecon” enables users to capture items in a mobile app and reconstruct their interactive features in mixed reality. The tool could assist in education, medical environments, museums, and more.
The framework helps clinicians choose phrases that more accurately reflect the likelihood that certain conditions are present in X-rays.
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.
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.
MIT researchers developed a photon-shuttling “interconnect” that can facilitate remote entanglement, a key step toward a practical quantum computer.
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.
“Xstrings” method enables users to produce cable-driven objects, automatically assembling bionic robots, sculptures, and dynamic fashion designs.
The Exo 2 programming language enables reusable scheduling libraries external to compilers.
The Institute also ranks second in seven subject areas.
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.
MIT undergraduates broaden their perspectives and prospects through political science.
A first history of the document security technology, co-authored by MIT Libraries’ Jana Dambrogio, provides new tools for interdisciplinary research.
Agreement between MIT Microsystems Technology Laboratories and GlobalFoundries aims to deliver power efficiencies for data centers and ultra-low power consumption for intelligent devices at the edge.
MIT researchers developed a fiber computer and networked several of them into a garment that learns to identify physical activities.