Category
MIT IA
Toute l’actualité IA du MIT
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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