MIT CSAIL researchers combined GenAI and a physics simulation engine to refine robot designs. The result: a machine that out-jumped a robot designed by humans.

Presentations targeted high-impact intersections of AI and other areas, such as health care, business, and education.

In a new study, researchers discover the root cause of a type of bias in LLMs, paving the way for more accurate and reliable AI systems.

The winning essay of the Envisioning the Future of Computing Prize puts health care disparities at the forefront.

The approach could help animators to create realistic 3D characters or engineers to design elastic products.

Researchers developed an algorithm that lets a robot “think ahead” and consider thousands of potential motion plans simultaneously.

A team of MIT researchers founded Themis AI to quantify AI model uncertainty and address knowledge gaps.

SketchAgent, a drawing system developed by MIT CSAIL researchers, sketches up concepts stroke-by-stroke, teaching language models to visually express concepts on their own and collaborate with humans.

This new machine-learning model can match corresponding audio and visual data, which could someday help robots interact in the real world.

The color-correcting tool, known as “SeaSplat,” reveals more realistic colors of underwater features.

Words like “no” and “not” can cause this popular class of AI models to fail unexpectedly in high-stakes settings, such as medical diagnosis.

With a novel simulation method, robots can guess the weight, softness, and other physical properties of an object just by picking it up.

The CausVid generative AI tool uses a diffusion model to teach an autoregressive (frame-by-frame) system to rapidly produce stable, high-resolution videos.

New type of “state-space model” leverages principles of harmonic oscillators.

A new method helps convey uncertainty more precisely, which could give researchers and medical clinicians better information to make decisions.

New phase will support continued exploration of ideas and solutions in fields ranging from AI to nanotech to climate — with emphasis on educational exchanges and entrepreneurship.

Researchers have created a unifying framework that can help scientists combine existing ideas to improve AI models or create new ones.

TactStyle, a system developed by CSAIL researchers, uses image prompts to replicate both the visual appearance and tactile properties of 3D models.

A new technique automatically guides an LLM toward outputs that adhere to the rules of whatever programming language or other format is being used.

A new method from the MIT-IBM Watson AI Lab helps large language models to steer their own responses toward safer, more ethical, value-aligned outputs.

The approach maintains an AI model’s accuracy while ensuring attackers can’t extract secret information.

A new method lets users ask, in plain language, for a new molecule with certain properties, and receive a detailed description of how to synthesize it.

“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 American Association for the Advancement of Science recognizes six current affiliates and 27 additional MIT alumni for their efforts to advance science and related fields.

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.

Stuart Levine ’97, director of MIT’s BioMicro Center, keeps departmental researchers at the forefront of systems biology.

“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.

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 first history of the document security technology, co-authored by MIT Libraries’ Jana Dambrogio, provides new tools for interdisciplinary research.

Annual award honors early-career researchers for creativity, innovation, and research accomplishments.

A new study shows LLMs represent different data types based on their underlying meaning and reason about data in their dominant language.

Whitehead Institute and CSAIL researchers created a machine-learning model to predict and generate protein localization, with implications for understanding and remedying disease.

New “Oreo” method from MIT CSAIL researchers removes footprints that reveal where code is stored before a hacker can see them.

New faculty member Kaiming He discusses AI’s role in lowering barriers between scientific fields and fostering collaboration across scientific disciplines.

MIT researchers developed a new approach for assessing predictions with a spatial dimension, like forecasting weather or mapping air pollution.

The consortium will bring researchers and industry together to focus on impact.

By automatically generating code that leverages two types of data redundancy, the system saves bandwidth, memory, and computation.

MIT CSAIL Principal Research Scientist Una-May O’Reilly discusses how she develops agents that reveal AI models’ security weaknesses before hackers do.

Starting with a single frame in a simulation, a new system uses generative AI to emulate the dynamics of molecules, connecting static molecular structures and developing blurry pictures into videos.

Rapid development and deployment of powerful generative AI models comes with environmental consequences, including increased electricity demand and water consumption.

The Thermochromorph printmaking technique developed by CSAIL researchers allows images to transition into each other through changes in temperature.

Using this model, researchers may be able to identify antibody drugs that can target a variety of infectious diseases.

Five MIT faculty and staff, along with 19 additional alumni, are honored for electrical engineering and computer science advances.

With models like AlphaFold3 limited to academic research, the team built an equivalent alternative, to encourage innovation more broadly.

The MIT senior will pursue graduate studies in the UK at Cambridge University and Imperial College London.

Five MIT faculty members and two additional alumni are honored with fellowships to advance research on beneficial AI.

A new technique identifies and removes the training examples that contribute most to a machine-learning model’s failures.