Category
MIT IA
Toute l’actualité IA du MIT
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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
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Researchers reduce bias in AI models while preserving or improving accuracy
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Study: Some language reward models exhibit political bias
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Enabling AI to explain its predictions in plain language
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Daniela Rus wins John Scott Award
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Citation tool offers a new approach to trustworthy AI-generated content
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Want to design the car of the future? Here are 8,000 designs to get you started.
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MIT delegation mainstreams biodiversity conservation at the UN Biodiversity Convention, COP16
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A new way to create realistic 3D shapes using generative AI
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Photonic processor could enable ultrafast AI computations with extreme energy efficiency
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A data designer driven to collaborate with communities
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Improving health, one machine learning system at a time
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New AI tool generates realistic satellite images of future flooding
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Building an understanding of how drivers interact with emerging vehicle technologies
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A vision for U.S. science success
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MIT researchers develop an efficient way to train more reliable AI agents
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Advancing urban tree monitoring with AI-powered digital twins
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A model of virtuosity
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Can robots learn from machine dreams?
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Ensuring a durable transition
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Graph-based AI model maps the future of innovation
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3 Questions: Inverting the problem of design
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A causal theory for studying the cause-and-effect relationships of genes
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A portable light system that can digitize everyday objects
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Nanoscale transistors could enable more efficient electronics
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A faster, better way to train general-purpose robots
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Making it easier to verify an AI model’s responses
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Combining next-token prediction and video diffusion in computer vision and robotics
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Equipping doctors with AI co-pilots
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Artificial intelligence meets “blisk” in new DARPA-funded collaboration
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How AI is improving simulations with smarter sampling techniques
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AI pareidolia: Can machines spot faces in inanimate objects?
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Helping robots zero in on the objects that matter
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New security protocol shields data from attackers during cloud-based computation
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Fifteen Lincoln Laboratory technologies receive 2024 R&D 100 Awards
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3 Questions: Should we label AI systems like we do prescription drugs?
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Accelerating particle size distribution estimation
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New AI JetPack accelerates the entrepreneurial process
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AI model can reveal the structures of crystalline materials
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Study: AI could lead to inconsistent outcomes in home surveillance
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Enhancing LLM collaboration for smarter, more efficient solutions
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A fast and flexible approach to help doctors annotate medical scans
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Study: Transparency is often lacking in datasets used to train large language models
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A framework for solving parabolic partial differential equations
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New open-source tool helps to detangle the brain
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LLMs develop their own understanding of reality as their language abilities improve
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MIT researchers use large language models to flag problems in complex systems
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Helping robots practice skills independently to adapt to unfamiliar environments
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Dimitris Bertsimas named vice provost for open learning
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Precision home robots learn with real-to-sim-to-real
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Helping Olympic athletes optimize their performance, one stride at a time
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Method prevents an AI model from being overconfident about wrong answers
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Study: When allocating scarce resources with AI, randomization can improve fairness
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MIT researchers advance automated interpretability in AI models
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Proton-conducting materials could enable new green energy technologies
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AI model identifies certain breast tumor stages likely to progress to invasive cancer
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Creating and verifying stable AI-controlled systems in a rigorous and flexible way
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AI method radically speeds predictions of materials’ thermal properties
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How to assess a general-purpose AI model’s reliability before it’s deployed
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Marking a milestone: Dedication ceremony celebrates the new MIT Schwarzman College of Computing building
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Reasoning skills of large language models are often overestimated
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When to trust an AI model
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MIT ARCLab announces winners of inaugural Prize for AI Innovation in Space
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MIT researchers introduce generative AI for databases
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Melissa Choi named director of MIT Lincoln Laboratory
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Helping nonexperts build advanced generative AI models
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Eric Evans receives Department of Defense Medal for Distinguished Public Service
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MIT-Takeda Program wraps up with 16 publications, a patent, and nearly two dozen projects completed
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Researchers leverage shadows to model 3D scenes, including objects blocked from view
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Understanding the visual knowledge of language models
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A smarter way to streamline drug discovery