Category
MIT IA
Toute l’actualité IA du MIT
-
-
Building AI models that understand chemical principles
-
Justin Solomon appointed associate dean of engineering education
-
Universal AI is “a pathway to AI fluency that’s accessible and approachable to anyone, anywhere”
-
Q&A: Expanding MIT’s global reach through Universal Learning
-
Games people — and machines — play: Untangling strategic reasoning to advance AI
-
Beacon Biosignals is mapping the brain during sleep
-
Making the case for curiosity-driven science
-
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”
-
Jacob Andreas and Brett McGuire named Edgerton Award winners
-
Bringing AI-driven protein-design tools to biologists everywhere
-
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
-
Working to advance the nuclear renaissance
-
Evaluating the ethics of autonomous systems
-
Preview tool helps makers visualize 3D-printed objects
-
MIT researchers use AI to uncover atomic defects in materials
-
MIT engineers design proteins by their motion, not just their shape
-
AI system learns to keep warehouse robot traffic running smoothly
-
Augmenting citizen science with computer vision for fish monitoring
-
Wristband enables wearers to control a robotic hand with their own movements
-
How to create “humble” AI
-
On algorithms, life, and learning
-
MIT and Hasso Plattner Institute establish collaborative hub for AI and creativity
-
A better method for identifying overconfident large language models
-
Generative AI improves a wireless vision system that sees through obstructions
-
Sustaining diplomacy amid competition in US-China relations
-
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
-
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