Category
Computer science and technology
-
-
How MIT students are helping to prevent cyberattacks
-
AI agents create virtual playgrounds to help robots get crucial training data
-
New method aims to keep kids safe from illegal AI-generated content
-
Tiny robot boats build floating structures
-
How novice coders can develop AI programs for military applications
-
Q&A: What is agentic AI today, and what do we want it to be?
-
3 Questions: Beyond data-driven aesthetics
-
LLMs help robots understand vague instructions and focus on key details
-
Improving the speed and energy-efficiency of AI agents
-
New chip could help tiny robots traverse complex environments
-
A better way to model the behavior of metal alloys
-
MIT in the media: For the future of tech, « Massachusetts can absolutely lead »
-
Could AI tell you where you left your keys?
-
When it comes to predicting people’s preferences, it pays to consider “the power of three”
-
MIT affiliates win 2026 Hertz Foundation Fellowships
-
Startup’s nuclear-inspired cooling system could make data centers more sustainable
-
NSF renews support for MIT-led AI and physics institute, expanding a new model for discovery
-
Teaching AI agents to ask better questions by playing “Battleship”
-
MIT researchers teach AI models to interpret charts
-
Building AI models that understand chemical principles
-
Justin Solomon appointed associate dean of engineering education
-
Games people — and machines — play: Untangling strategic reasoning to advance AI
-
Solving the “Whac-a-mole dilemma”: A smarter way to debias AI vision models
-
The MIT-IBM Computing Research Lab launches to shape the future of AI and quantum computing
-
Enabling privacy-preserving AI training on everyday devices
-
A faster way to estimate AI power consumption
-
MIT scientists build the world’s largest collection of Olympiad-level math problems, and open it to everyone
-
Teaching AI models to say “I’m not sure”
-
Human-machine teaming dives underwater
-
New technique makes AI models leaner and faster while they’re still learning
-
Sixteen new START.nano companies are developing hard-tech solutions with the support of MIT.nano
-
Helping data centers deliver higher performance with less hardware
-
Preview tool helps makers visualize 3D-printed objects
-
AI system learns to keep warehouse robot traffic running smoothly
-
Augmenting citizen science with computer vision for fish monitoring
-
A better method for identifying overconfident large language models
-
Generative AI improves a wireless vision system that sees through obstructions
-
MIT-IBM Watson AI Lab seed to signal: Amplifying early-career faculty impact
-
Can AI help predict which heart-failure patients will worsen within a year?
-
3 Questions: On the future of AI and the mathematical and physical sciences
-
A better method for planning complex visual tasks
-
Improving AI models’ ability to explain their predictions
-
A “ChatGPT for spreadsheets” helps solve difficult engineering challenges faster
-
New method could increase LLM training efficiency
-
Mixing generative AI with physics to create personal items that work in the real world
-
AI to help researchers see the bigger picture in cell biology
-
Exposing biases, moods, personalities, and abstract concepts hidden in large language models
-
Parking-aware navigation system could prevent frustration and emissions
-
Personalization features can make LLMs more agreeable
-
Study: Platforms that rank the latest LLMs can be unreliable
-
Helping AI agents search to get the best results out of large language models
-
Antonio Torralba, three MIT alumni named 2025 ACM fellows
-
3 Questions: Using AI to accelerate the discovery and design of therapeutic drugs
-
How generative AI can help scientists synthesize complex materials
-
Why it’s critical to move beyond overly aggregated machine-learning metrics
-
Generative AI tool helps 3D print personal items that sustain daily use
-
3 Questions: How AI could optimize the power grid
-
Decoding the Arctic to predict winter weather
-
MIT scientists investigate memorization risk in the age of clinical AI
-
Guided learning lets “untrainable” neural networks realize their potential
-
A new way to increase the capabilities of large language models
-
A “scientific sandbox” lets researchers explore the evolution of vision systems
-
“Robot, make me a chair”
-
Enabling small language models to solve complex reasoning tasks
-
New MIT program to train military leaders for the AI age
-
New method improves the reliability of statistical estimations
-
New materials could boost the energy efficiency of microelectronics
-
MIT researchers “speak objects into existence” using AI and robotics
-
A smarter way for large language models to think about hard problems
-
New control system teaches soft robots the art of staying safe
-
Researchers discover a shortcoming that makes LLMs less reliable
-
MIT scientists debut a generative AI model that could create molecules addressing hard-to-treat diseases
-
The cost of thinking
-
Understanding the nuances of human-like intelligence
-
Charting the future of AI, from safer answers to faster thinking
-
MIT researchers propose a new model for legible, modular software
-
Teaching robots to map large environments
-
3 Questions: How AI is helping us monitor and support vulnerable ecosystems
-
A faster problem-solving tool that guarantees feasibility
-
The brain power behind sustainable AI
-
Creating AI that matters
-
New software designs eco-friendly clothing that can reassemble into new items
-
Method teaches generative AI models to locate personalized objects
-
MIT Schwarzman College of Computing and MBZUAI launch international collaboration to shape the future of AI
-
Using generative AI to diversify virtual training grounds for robots
-
Fighting for the health of the planet with AI
-
AI maps how a new antibiotic targets gut bacteria
-
Responding to the climate impact of generative AI
-
New AI system could accelerate clinical research
-
MIT affiliates win AI for Math grants to accelerate mathematical discovery
-
How to build AI scaling laws for efficient LLM training and budget maximization
-
Machine-learning tool gives doctors a more detailed 3D picture of fetal health
-
DoE selects MIT to establish a Center for the Exascale Simulation of Coupled High-Enthalpy Fluid–Solid Interactions