Category
Computer science and technology
-
-
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
-
A greener way to 3D print stronger stuff
-
A new generative AI approach to predicting chemical reactions
-
3 Questions: The pros and cons of synthetic data in AI
-
MIT researchers develop AI tool to improve flu vaccine strain selection
-
A new model predicts how molecules will dissolve in different solvents
-
Eco-driving measures could significantly reduce vehicle emissions
-
Helping data storage keep up with the AI revolution
-
MIT tool visualizes and edits “physically impossible” objects
-
New algorithms enable efficient machine learning with symmetric data
-
Robot, know thyself: New vision-based system teaches machines to understand their bodies
-
A new way to edit or generate images
-
The unique, mathematical shortcuts language models use to predict dynamic scenarios
-
This “smart coach” helps LLMs switch between text and code
-
Can AI really code? Study maps the roadblocks to autonomous software engineering
-
How to more efficiently study complex treatment interactions
-
AI shapes autonomous underwater “gliders”
-
Study could lead to LLMs that are better at complex reasoning
-
Robotic probe quickly measures key properties of new materials
-
Using generative AI to help robots jump higher and land safely
-
LLMs factor in unrelated information when recommending medical treatments
-
Unpacking the bias of large language models
-
Photonic processor could streamline 6G wireless signal processing
-
Inroads to personalized AI trip planning
-
How we really judge AI
-
AI-enabled control system helps autonomous drones stay on target in uncertain environments
-
Helping machines understand visual content with AI
-
Teaching AI models what they don’t know
-
Teaching AI models the broad strokes to sketch more like humans do
-
An anomaly detection framework anyone can use
-
AI learns how vision and sound are connected, without human intervention
-
Learning how to predict rare kinds of failures
-
With AI, researchers predict the location of virtually any protein within a human cell
-
Study shows vision-language models can’t handle queries with negation words
-
Hybrid AI model crafts smooth, high-quality videos in seconds
-
New tool evaluates progress in reinforcement learning
-
Novel AI model inspired by neural dynamics from the brain
-
Making AI models more trustworthy for high-stakes settings
-
Merging design and computer science in creative ways