To reduce waste, the Refashion program helps users create outlines for adaptable clothing, such as pants that can be reconfigured into a dress. Each component of these pieces can be replaced, rearranged, or restyled.

After being trained with this technique, vision-language models can better identify a unique item in a new scene.

The former department chair was an early innovator in the use of artificial intelligence to both study and influence how children learn music.

Media Lab PhD student Kimaya Lecamwasam researches how music can shape well-being.

An algorithm can change the face of food assistance policy in the Global South, says MIT assistant professor and J-WAFS researcher Ali Aouad.

Acting as a “virtual spectrometer,” SpectroGen generates spectroscopic data in any modality, such as X-ray or infrared, to quickly assess a material’s quality.

Co-founded by an MIT alumnus, Watershed Bio offers researchers who aren’t software engineers a way to run large-scale analyses to accelerate biology.

Receiving the Robert A. Muh award, the technologist and author heralded a bright future for AI, breakthroughs in longevity, and more.

The MIT–MBZUAI Collaborative Research Program will unite faculty and students from both institutions to advance AI and accelerate its use in pressing scientific and societal challenges.

New tool from MIT CSAIL creates realistic virtual kitchens and living rooms where simulated robots can interact with models of real-world objects, scaling up training data for robot foundation models.

Assistant Professor Priya Donti’s research applies machine learning to optimize renewable energy.

The approach combines physics and machine learning to avoid damaging disruptions when powering down tokamak fusion machines.

Incorporating machine learning, MIT engineers developed a way to 3D print alloys that are much stronger than conventionally manufactured versions.

MIT CSAIL and McMaster researchers used a generative AI model to reveal how a narrow-spectrum antibiotic attacks disease-causing bacteria, speeding up a process that normally takes years.

Bakshi will help shape and scale entrepreneurship education and platform at MIT.

Optimized for generative AI, TX-GAIN is driving innovation in biodefense, materials discovery, cybersecurity, and other areas of research and development.

Explosive growth of AI data centers is expected to increase greenhouse gas emissions. Researchers are now seeking solutions to reduce these environmental harms.

The new “CRESt” platform could help find solutions to real-world energy problems that have plagued the materials science and engineering community for decades.

By enabling rapid annotation of areas of interest in medical images, the tool can help scientists study new treatments or map disease progression.

Economics doctoral student Whitney Zhang investigates how technologies and organizational decisions shape labor markets.

Department of Mathematics researchers David Roe and Andrew Sutherland seek to advance automated theorem proving; four additional MIT alumni also awarded.

With SCIGEN, researchers can steer AI models to create materials with exotic properties for applications like quantum computing.

This year’s delta v summer accelerator offered an up-close look at how AI is changing the process of building a startup.

At the inaugural MIT Generative AI Impact Consortium Symposium, researchers and business leaders discussed potential advancements centered on this powerful technology.

MIT-IBM Watson AI Lab researchers have developed a universal guide for estimating how large language models will perform based on smaller models in the same family.

MIT CSAIL researchers developed a tool that can model the shape and movements of fetuses in 3D, potentially assisting doctors in finding abnormalities and making diagnoses.

The research center, sponsored by the DOE’s National Nuclear Security Administration, will advance the simulation of extreme environments, such as those in hypersonic flight and atmospheric reentry.

Popular mechanical engineering course applies machine learning and AI theory to real-world engineering design.

MIT CSAIL researchers developed SustainaPrint, a system that reinforces only the weakest zones of eco-friendly 3D prints, achieving strong results with less plastic.

System developed at MIT could provide realistic predictions for a wide variety of reactions, while maintaining real-world physical constraints.

Artificially created data offer benefits from cost savings to privacy preservation, but their limitations require careful planning and evaluation, Kalyan Veeramachaneni says.

Professor Caroline Uhler discusses her work at the Schmidt Center, thorny problems in math, and the ongoing quest to understand some of the most complex interactions in biology.

VaxSeer uses machine learning to predict virus evolution and antigenicity, aiming to make vaccine selection more accurate and less reliant on guesswork.

New research shows the natural variability in climate data can cause AI models to struggle at predicting local temperature and rainfall.

Tools build on years of research at Lincoln Laboratory to develop a rapid brain health screening capability and may also be applicable to civilian settings such as sporting events and medical offices.

New test could help determine if AI systems that make accurate predictions in one area can understand it well enough to apply that ability to a different area.

Solubility predictions could make it easier to design and synthesize new drugs, while minimizing the use of more hazardous solvents.

A new approach can reveal the features AI models use to predict proteins that might make good drug or vaccine targets.

MIT engineers used a machine-learning model to design nanoparticles that can deliver RNA to cells more efficiently.

The team used two different AI approaches to design novel antibiotics, including one that showed promise against MRSA.

The Initiative for New Manufacturing is convening experts across the Institute to drive a transformation of production across the U.S. and the world.

As large language models increasingly dominate our everyday lives, new systems for checking their reliability are more important than ever.

New research shows automatically controlling vehicle speeds to mitigate traffic at intersections can cut carbon emissions between 11 and 22 percent.

Four new professors join the Department of Architecture and MIT Media Lab.

Storage systems from Cloudian, co-founded by an MIT alumnus, are helping businesses feed data-hungry AI models and agents at scale.

By visualizing Escher-like optical illusions in 2.5 dimensions, the “Meschers” tool could help scientists understand physics-defying shapes and spark new designs.

This new approach could lead to enhanced AI models for drug and materials discovery.

Groundbreaking MIT concert, featuring electronic and computer-generated music, was a part of the 2025 International Computer Music Conference.

A computer vision study compares changes in pedestrian behavior since 1980, providing information for urban designers about creating public spaces.

ChemXploreML makes advanced chemical predictions easier and faster — without requiring deep programming skills.