Category
MIT IA
Toute l’actualité IA du MIT
-
-
A better method for planning complex visual tasks
-
3 Questions: Building predictive models to characterize tumor progression
-
How Joseph Paradiso’s sensing innovations bridge the arts, medicine, and ecology
-
Improving AI models’ ability to explain their predictions
-
A “ChatGPT for spreadsheets” helps solve difficult engineering challenges faster
-
Featured video: Coding for underwater robotics
-
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
-
Study: AI chatbots provide less-accurate information to vulnerable users
-
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
-
Accelerating science with AI and simulations
-
Using synthetic biology and AI to address global antimicrobial resistance threat
-
AI algorithm enables tracking of vital white matter pathways
-
3 Questions: Using AI to help Olympic skaters land a quint
-
Study: Platforms that rank the latest LLMs can be unreliable
-
“This is science!” – MIT president talks about the importance of America’s research enterprise on GBH’s Boston Public Radio
-
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
-
Katie Spivakovsky wins 2026 Churchill Scholarship
-
Counter intelligence
-
SMART launches new Wearable Imaging for Transforming Elderly Care research group
-
SMART launches new Wearable Imaging for Transforming Elderly Care research group
-
How generative AI can help scientists synthesize complex materials
-
Why it’s critical to move beyond overly aggregated machine-learning metrics
-
At MIT, a continued commitment to understanding intelligence
-
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
-
Using design to interpret the past and envision the future
-
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”
-
3 Questions: Using computation to study the world’s best single-celled chemists
-
Working to eliminate barriers to adopting nuclear energy
-
Deep-learning model predicts how fruit flies form, cell by cell
-
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
-
Robots that spare warehouse workers the heavy lifting
-
A smarter way for large language models to think about hard problems
-
MIT engineers design an aerial microrobot that can fly as fast as a bumblebee
-
Helping power-system planners prepare for an unknown future
-
New control system teaches soft robots the art of staying safe
-
Driving American battery innovation forward
-
Exploring how AI will shape the future of work
-
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
-
How artificial intelligence can help achieve a clean energy future
-
The cost of thinking
-
New AI agent learns to use CAD to create 3D objects from sketches
-
MIT Energy Initiative conference spotlights research priorities amidst a changing energy landscape
-
MIT Energy Initiative conference spotlights research priorities amidst a changing energy landscape
-
Understanding the nuances of human-like intelligence
-
MIT Energy Initiative launches Data Center Power Forum
-
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
-
Five with MIT ties elected to National Academy of Medicine for 2025
-
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
-
Optimizing food subsidies: Applying digital platforms to maximize nutrition
-
Checking the quality of materials just got easier with a new AI tool
-
Helping scientists run complex data analyses without writing code
-
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
-
Printable aluminum alloy sets strength records, may enable lighter aircraft parts
-
New prediction model could improve the reliability of fusion power plants
-
AI maps how a new antibiotic targets gut bacteria
-
Martin Trust Center for MIT Entrepreneurship welcomes Ana Bakshi as new executive director
-
Lincoln Lab unveils the most powerful AI supercomputer at any US university
-
Responding to the climate impact of generative AI
-
AI system learns from many types of scientific information and runs experiments to discover new materials
-
New AI system could accelerate clinical research