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.
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“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.
High-performance computing, with much less code
The Exo 2 programming language enables reusable scheduling libraries external to compilers.
Building trust in science through conversation and empathy
Conference at MIT brings together scientific experts and communicators to discuss the path toward a more informed, science-supportive public.
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.
3 Questions: Visualizing research in the age of AI
Felice Frankel discusses the implications of generative AI when communicating science visually.
Markus Buehler receives 2025 Washington Award
Materials scientist is honored for his academic leadership and innovative research that bridge engineering and nature.
A personalized heart implant wins MIT Sloan health care prize
Spheric Bio’s implants are designed to grow in a channel of the heart to better fit the patient’s anatomy and prevent strokes.
Collaborating to advance research and innovation on essential chips for AI
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.
Fiber computer allows apparel to run apps and “understand” the wearer
MIT researchers developed a fiber computer and networked several of them into a garment that learns to identify physical activities.
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.
MIT faculty, alumni named 2025 Sloan Research Fellows
Annual award honors early-career researchers for creativity, innovation, and research accomplishments.
MIT spinout maps the body’s metabolites to uncover the hidden drivers of disease
ReviveMed uses AI to gather large-scale data on metabolites — molecules like lipids, cholesterol, and sugar — to match patients with therapeutics.
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.
Unlocking the secrets of fusion’s core with AI-enhanced simulations
Fusion’s future depends on decoding plasma’s mysteries. Simulations can help keep research on track and reveal more efficient ways to generate fusion energy.