Category
MIT IA
Toute l’actualité IA du MIT
-
-
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