Category
MIT IA
Toute l’actualité IA du MIT
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Puzzling out climate change
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Can deep learning transform heart failure prevention?
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Creating a common language
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Validation technique could help scientists make more accurate forecasts
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Streamlining data collection for improved salmon population management
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User-friendly system can help developers build more efficient simulations and AI models
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With generative AI, MIT chemists quickly calculate 3D genomic structures
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3 Questions: Modeling adversarial intelligence to exploit AI’s security vulnerabilities
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MIT students’ works redefine human-AI collaboration
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New training approach could help AI agents perform better in uncertain conditions
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Expanding robot perception
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A platform to expedite clean energy projects
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Toward video generative models of the molecular world
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The multifaceted challenge of powering AI
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Explained: Generative AI’s environmental impact
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New computational chemistry techniques accelerate the prediction of molecules and materials
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For healthy hearing, timing matters
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Q&A: The climate impact of generative AI
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Teaching AI to communicate sounds like humans do
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A new computational model can predict antibody structures more accurately
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Unlocking the hidden power of boiling — for energy, space, and beyond
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Ecologists find computer vision models’ blind spots in retrieving wildlife images
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Startup’s autonomous drones precisely track warehouse inventories
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Need a research hypothesis? Ask AI.
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MIT engineers grow “high-rise” 3D chips
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When MIT’s interdisciplinary NEET program is a perfect fit
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MIT researchers introduce Boltz-1, a fully open-source model for predicting biomolecular structures
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Lara Ozkan named 2025 Marshall Scholar
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Teaching a robot its limits, to complete open-ended tasks safely
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AI in health should be regulated, but don’t forget about the algorithms, researchers say