A new approach could help users know whether to trust a model’s predictions in safety-critical applications like health care and autonomous driving.

The approach could help engineers tackle extremely complex design problems, from power grid optimization to vehicle design.

Lincoln Laboratory intern Ivy Mahncke developed and tested algorithms to help human divers and robots navigate underwater.

By leveraging idle computing time, researchers can double the speed of model training while preserving accuracy.

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.

By providing holistic information on a cell, an AI-driven method could help scientists better understand disease mechanisms and plan experiments.

Strahinja Janjusevic brings an international perspective and US Naval Academy education to his graduate research in the MIT Technology and Policy Program.

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.

A new method developed at MIT could root out vulnerabilities and improve LLM safety and performance.

By minimizing the need to drive around looking for a parking spot, this technique can save drivers up to 35 minutes — and give them a realistic estimate of total travel time.

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.

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.

Associate Professor Rafael Gómez-Bombarelli has spent his career applying AI to improve scientific discovery. Now he believes we are at an inflection point.

Driven by overuse and misuse of antibiotics, drug-resistant infections are on the rise, while development of new antibacterial tools has slowed.

Opening a new window on the brainstem, a new tool reliably and finely resolves distinct nerve bundles in live diffusion MRI scans, revealing signs of injury or disease.

MIT Sports Lab researchers are applying AI technologies to help figure skaters improve. They also have thoughts on whether five-rotation jumps are humanly possible.

Removing just a tiny fraction of the crowdsourced data that informs online ranking platforms can significantly change the results.

MIT faculty join The Curiosity Desk to discuss football, math, Olympic figure skating, AI and the quest to cure ovarian cancer.

EnCompass executes AI agent programs by backtracking and making multiple attempts, finding the best set of outputs generated by an LLM. It could help coders work with AI agents more efficiently.

He joins Nikos Trichakis in guiding the cross-cutting initiative of the MIT Schwarzman College of Computing.

Torralba’s research focuses on computer vision, machine learning, and human visual perception.

Professor James Collins discusses how collaboration has been central to his research into combining computational predictions with new experimental platforms.

The MIT senior will pursue a master’s degree at Cambridge University in the U.K. this fall.

Architecture students bring new forms of human-machine interaction into the kitchen.

WITEC is working to develop the first wearable ultrasound imaging system to monitor chronic conditions in real-time, with the goal of enabling earlier detection and timely intervention.

MIT researchers’ DiffSyn model offers recipes for synthesizing new materials, enabling faster experimentation and a shorter journey from hypothesis to use.

As AI technology advances, a new interdisciplinary course seeks to equip students with foundational critical thinking skills in computing.

New research detects hidden evidence of mistaken correlations — and provides a method to improve accuracy.

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 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.

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.

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