With support from the Siegel Family Endowment, the newly renamed MIT Siegel Family Quest for Intelligence investigates how brains produce intelligence and how it can be replicated to solve problems.

“MechStyle” allows users to personalize 3D models, while ensuring they’re physically viable after fabrication, producing unique personal items and assistive technology.

While the growing energy demands of AI are worrying, some techniques can also help make power grids cleaner and more efficient.

With the help of AI, MIT Research Scientist Judah Cohen is reshaping subseasonal forecasting, with the goal of extending the lead time for predicting impactful weather.

Recent launch event for the center featured discussions on pro-worker AI, wealth inequality, and the future of liberal democracy.

New research demonstrates how AI models can be tested to ensure they don’t cause harm by revealing anonymized patient health data.

MIT graduate student C Jacob Payne reimagines historic architecture and invents new possibilities at the intersection of AI and design.

MIT community members made headlines with key research advances and their efforts to tackle pressing challenges.

CSAIL researchers find even “untrainable” neural nets can learn effectively when guided by another network’s built-in biases using their guidance method.

MIT-IBM Watson AI Lab researchers developed an expressive architecture that provides better state tracking and sequential reasoning in LLMs over long texts.

The AI-powered tool could inform the design of better sensors and cameras for robots or autonomous vehicles.

An AI-driven system lets users design and build simple, multicomponent objects by describing them with words.

Assistant Professor Yunha Hwang utilizes microbial genomes to examine the language of biology. Her appointment reflects MIT’s commitment to exploring the intersection of genetics research and AI.

Nuclear waste continues to be a bottleneck in the widespread use of nuclear energy, so doctoral student Dauren Sarsenbayev is developing models to address the problem.

The approach could apply to more complex tissues and organs, helping researchers to identify early signs of disease.

The “self-steering” DisCIPL system directs small models to work together on tasks with constraints, like itinerary planning and budgeting.

The new certificate program will equip naval officers with skills needed to solve the military’s hardest problems.

The technique can help scientists in economics, public health, and other fields understand whether to trust the results of their experiments.

By stacking multiple active components based on new materials on the back end of a computer chip, this new approach reduces the amount of energy wasted during computation.

Postdoc Zongyi Li, Associate Professor Tess Smidt, and seven additional alumni will be supported in the development of AI against difficult problems.

The speech-to-reality system combines 3D generative AI and robotic assembly to create objects on demand.

Founded by MIT alumni, the Pickle Robot Company has developed machines that can autonomously load and unload trucks inside warehouses and logistic centers.

This new technique enables LLMs to dynamically adjust the amount of computation they use for reasoning, based on the difficulty of the question.

With insect-like speed and agility, the tiny robot could someday aid in search-and-rescue missions.

Macro, a modeling tool developed by the MIT Energy Initiative, enables energy-system planners to explore options for developing infrastructure to support decarbonized, reliable, and low-cost power grids.

MIT CSAIL and LIDS researchers developed a mathematically grounded system that lets soft robots deform, adapt, and interact with people and objects, without violating safety limits.

AquaCulture Shock program, in collaboration with MIT-Scandinavia MISTI, offers international internships for AI and autonomy in aquaculture

At MITEI’s Fall Colloquium, General Motors’ battery development expert emphasized how affordability, accessibility, and commercialization can position the US as a leader in battery tech.

For PhD student Benjamin Manning, the future of work means grasping AI’s role on our behalf while transforming and accelerating social scientific discovery.

Large language models can learn to mistakenly link certain sentence patterns with specific topics — and may then repeat these patterns instead of reasoning.

BoltzGen generates protein binders for any biological target from scratch, expanding AI’s reach from understanding biology toward engineering it.

AI supports the clean energy transition as it manages power grid operations, helps plan infrastructure investments, guides development of novel materials, and more.

MIT neuroscientists find a surprising parallel in the ways humans and new AI models solve complex problems.

The virtual VideoCAD tool could boost designers’ productivity and help train engineers learning computer-aided design.

Industry leaders agree collaboration is key to advancing critical technologies.

Associate Professor Phillip Isola studies the ways in which intelligent machines “think,” in an effort to safely integrate AI into human society.

MIT faculty and MITEI member company experts address power demand from data centers.

MIT PhD students who interned with the MIT-IBM Watson AI Lab Summer Program are pushing AI tools to be more flexible, efficient, and grounded in truth.

A new approach developed at MIT could help a search-and-rescue robot navigate an unpredictable environment by rapidly generating an accurate map of its surroundings.

MIT’s Teaching Systems Lab, led by Associate Professor Justin Reich, is working to help educators by listening to and sharing their stories.

MIT PhD student and CSAIL researcher Justin Kay describes his work combining AI and computer vision systems to monitor the ecosystems that support our planet.

The FSNet system, developed at MIT, could help power grid operators rapidly find feasible solutions for optimizing the flow of electricity.

Professors Facundo Batista and Dina Katabi, along with three additional MIT alumni, are honored for their outstanding professional achievement and commitment to service.

How the MIT-IBM Watson AI Lab is shaping AI-sociotechnical systems for the future.

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.

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.