Category
MIT IA
Toute l’actualité IA du MIT
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Universal AI is “a pathway to AI fluency that’s accessible and approachable to anyone, anywhere”
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Q&A: Expanding MIT’s global reach through Universal Learning
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Games people — and machines — play: Untangling strategic reasoning to advance AI
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Beacon Biosignals is mapping the brain during sleep
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Making the case for curiosity-driven science
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Solving the “Whac-a-mole dilemma”: A smarter way to debias AI vision models
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The MIT-IBM Computing Research Lab launches to shape the future of AI and quantum computing
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Enabling privacy-preserving AI training on everyday devices
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A faster way to estimate AI power consumption
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MIT scientists build the world’s largest collection of Olympiad-level math problems, and open it to everyone
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Teaching AI models to say “I’m not sure”
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Jacob Andreas and Brett McGuire named Edgerton Award winners
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Bringing AI-driven protein-design tools to biologists everywhere
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Human-machine teaming dives underwater
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New technique makes AI models leaner and faster while they’re still learning
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Sixteen new START.nano companies are developing hard-tech solutions with the support of MIT.nano
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Helping data centers deliver higher performance with less hardware
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Working to advance the nuclear renaissance
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Evaluating the ethics of autonomous systems
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Preview tool helps makers visualize 3D-printed objects
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MIT researchers use AI to uncover atomic defects in materials
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MIT engineers design proteins by their motion, not just their shape
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AI system learns to keep warehouse robot traffic running smoothly
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Augmenting citizen science with computer vision for fish monitoring
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Wristband enables wearers to control a robotic hand with their own movements
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How to create “humble” AI
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On algorithms, life, and learning
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MIT and Hasso Plattner Institute establish collaborative hub for AI and creativity
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A better method for identifying overconfident large language models
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Generative AI improves a wireless vision system that sees through obstructions
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Sustaining diplomacy amid competition in US-China relations
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MIT-IBM Watson AI Lab seed to signal: Amplifying early-career faculty impact
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Can AI help predict which heart-failure patients will worsen within a year?
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3 Questions: On the future of AI and the mathematical and physical sciences
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A better method for planning complex visual tasks
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3 Questions: Building predictive models to characterize tumor progression
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How Joseph Paradiso’s sensing innovations bridge the arts, medicine, and ecology
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Improving AI models’ ability to explain their predictions
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A “ChatGPT for spreadsheets” helps solve difficult engineering challenges faster
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Featured video: Coding for underwater robotics
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New method could increase LLM training efficiency
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Mixing generative AI with physics to create personal items that work in the real world
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AI to help researchers see the bigger picture in cell biology
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Study: AI chatbots provide less-accurate information to vulnerable users
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Exposing biases, moods, personalities, and abstract concepts hidden in large language models
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Parking-aware navigation system could prevent frustration and emissions
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Personalization features can make LLMs more agreeable
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Accelerating science with AI and simulations
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Using synthetic biology and AI to address global antimicrobial resistance threat
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AI algorithm enables tracking of vital white matter pathways
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3 Questions: Using AI to help Olympic skaters land a quint
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Study: Platforms that rank the latest LLMs can be unreliable
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“This is science!” – MIT president talks about the importance of America’s research enterprise on GBH’s Boston Public Radio
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Helping AI agents search to get the best results out of large language models
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Antonio Torralba, three MIT alumni named 2025 ACM fellows
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3 Questions: Using AI to accelerate the discovery and design of therapeutic drugs
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Katie Spivakovsky wins 2026 Churchill Scholarship
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Counter intelligence
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SMART launches new Wearable Imaging for Transforming Elderly Care research group
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SMART launches new Wearable Imaging for Transforming Elderly Care research group
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How generative AI can help scientists synthesize complex materials
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Why it’s critical to move beyond overly aggregated machine-learning metrics
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At MIT, a continued commitment to understanding intelligence
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Generative AI tool helps 3D print personal items that sustain daily use
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3 Questions: How AI could optimize the power grid
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Decoding the Arctic to predict winter weather
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MIT scientists investigate memorization risk in the age of clinical AI
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Using design to interpret the past and envision the future
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Guided learning lets “untrainable” neural networks realize their potential
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A new way to increase the capabilities of large language models
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A “scientific sandbox” lets researchers explore the evolution of vision systems
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“Robot, make me a chair”
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3 Questions: Using computation to study the world’s best single-celled chemists
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Working to eliminate barriers to adopting nuclear energy
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Deep-learning model predicts how fruit flies form, cell by cell
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Enabling small language models to solve complex reasoning tasks
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New MIT program to train military leaders for the AI age
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New method improves the reliability of statistical estimations
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New materials could boost the energy efficiency of microelectronics
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MIT researchers “speak objects into existence” using AI and robotics
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Robots that spare warehouse workers the heavy lifting
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A smarter way for large language models to think about hard problems
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MIT engineers design an aerial microrobot that can fly as fast as a bumblebee
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Helping power-system planners prepare for an unknown future