Designing a more resilient future for plants, from the cell up
Foray Bioscience, founded by Ashley Beckwith SM ’18, PhD ’22, is engineering single plant cells to create new materials and meet growing demand.
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New method could increase LLM training efficiency
By leveraging idle computing time, researchers can double the speed of model training while preserving accuracy.
Mixing generative AI with physics to create personal items that work in the real world
To help generative AI models create durable, real-world accessories and decor, the PhysiOpt system runs physics simulations and makes subtle tweaks to its 3D blueprints.
AI to help researchers see the bigger picture in cell biology
By providing holistic information on a cell, an AI-driven method could help scientists better understand disease mechanisms and plan experiments.
Enhancing maritime cybersecurity with technology and policy
Strahinja Janjusevic brings an international perspective and US Naval Academy education to his graduate research in the MIT Technology and Policy Program.
MIT’s delta v accelerator receives $6M gift to supercharge startups being built by student founders
Ed Hallen MBA ’12 and Andrew Bialecki, co-founders of tech firm Klaviyo, will help to meet increased student demand for building impactful ventures.
More trees where they matter, please
An international study reveals disparities in urban shade levels, exacerbating the “heat island” effect in big cities.
Study: AI chatbots provide less-accurate information to vulnerable users
Research from the MIT Center for Constructive Communication finds leading AI models perform worse for users with lower English proficiency, less formal education, and non-US origins.
MIT faculty, alumni named 2026 Sloan Research Fellows
Annual award honors early-career researchers for creativity, innovation, and research accomplishments.
Exposing biases, moods, personalities, and abstract concepts hidden in large language models
A new method developed at MIT could root out vulnerabilities and improve LLM safety and performance.
A neural blueprint for human-like intelligence in soft robots
An AI control system co-developed by SMART researchers enables soft robotic arms to learn a broad set of motions once and adapt instantly to changing conditions without retraining.
Personalization features can make LLMs more agreeable
The context of long-term conversations can cause an LLM to begin mirroring the user’s viewpoints, possibly reducing accuracy or creating a virtual echo-chamber.
New AI model could cut the costs of developing protein drugs
MIT researchers used a large language model to optimize the genetic sequences of proteins manufactured by yeast, making production more efficient.
New J-PAL research and policy initiative to test and scale AI innovations to fight poverty
Project AI Evidence will connect governments, tech companies, and nonprofits with world-class economists at MIT and across J-PAL's global network to evaluate and improve AI solutions.
Accelerating science with AI and simulations
Associate Professor Rafael Gómez-Bombarelli has spent his career applying AI to improve scientific discovery. Now he believes we are at an inflection point.