Category
MIT IA
Toute l’actualité IA du MIT
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AI shapes autonomous underwater “gliders”
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Study could lead to LLMs that are better at complex reasoning
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New postdoctoral fellowship program to accelerate innovation in health care
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Robotic probe quickly measures key properties of new materials
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Confronting the AI/energy conundrum
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Accelerating scientific discovery with AI
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Using generative AI to help robots jump higher and land safely
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MIT and Mass General Brigham launch joint seed program to accelerate innovations in health
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Merging AI and underwater photography to reveal hidden ocean worlds
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LLMs factor in unrelated information when recommending medical treatments
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Combining technology, education, and human connection to improve online learning
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Unpacking the bias of large language models
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Celebrating an academic-industry collaboration to advance vehicle technology
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Photonic processor could streamline 6G wireless signal processing
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Have a damaged painting? Restore it in just hours with an AI-generated “mask”
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Inroads to personalized AI trip planning
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How we really judge AI
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AI-enabled control system helps autonomous drones stay on target in uncertain environments
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Helping machines understand visual content with AI
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Teaching AI models what they don’t know
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AI stirs up the recipe for concrete in MIT study
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Teaching AI models the broad strokes to sketch more like humans do
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3 Questions: How to help students recognize potential bias in their AI datasets
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Rationale engineering generates a compact new tool for gene therapy
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An anomaly detection framework anyone can use
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Building networks of data science talent
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MIT announces the Initiative for New Manufacturing
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AI learns how vision and sound are connected, without human intervention
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Learning how to predict rare kinds of failures
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With AI, researchers predict the location of virtually any protein within a human cell
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Study shows vision-language models can’t handle queries with negation words
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Hybrid AI model crafts smooth, high-quality videos in seconds
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New tool evaluates progress in reinforcement learning
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Novel AI model inspired by neural dynamics from the brain
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Making AI models more trustworthy for high-stakes settings
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The MIT-Portugal Program enters Phase 4
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Merging design and computer science in creative ways
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Novel method detects microbial contamination in cell cultures
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Artificial intelligence enhances air mobility planning
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Designing a new way to optimize complex coordinated systems
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New model predicts a chemical reaction’s point of no return
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“Periodic table of machine learning” could fuel AI discovery
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3D modeling you can feel
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Norma Kamali is transforming the future of fashion with AI
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MIT’s McGovern Institute is shaping brain science and improving human lives on a global scale
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Making AI-generated code more accurate in any language
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A faster way to solve complex planning problems
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Training LLMs to self-detoxify their language
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New method efficiently safeguards sensitive AI training data
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Could LLMs help design our next medicines and materials?
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New method assesses and improves the reliability of radiologists’ diagnostic reports
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Taking the “training wheels” off clean energy
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Vana is letting users own a piece of the AI models trained on their data
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Researchers teach LLMs to solve complex planning challenges
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Pattie Maes receives ACM SIGCHI Lifetime Research Award
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For this computer scientist, MIT Open Learning was the start of a life-changing journey
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Making higher education more accessible to students in Pakistan
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MIT Maritime Consortium sets sail
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AI tool generates high-quality images faster than state-of-the-art approaches
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At the core of problem-solving
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“An AI future that honors dignity for everyone”
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Making airfield assessments automatic, remote, and safe
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Robotic helper making mistakes? Just nudge it in the right direction
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3 Questions: Visualizing research in the age of AI
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Markus Buehler receives 2025 Washington Award
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Collaborating to advance research and innovation on essential chips for AI
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An ancient RNA-guided system could simplify delivery of gene editing therapies
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AI system predicts protein fragments that can bind to or inhibit a target
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MIT spinout maps the body’s metabolites to uncover the hidden drivers of disease
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Like human brains, large language models reason about diverse data in a general way
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AI model deciphers the code in proteins that tells them where to go
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Gift from Sebastian Man ’79, SM ’80 supports MIT Stephen A. Schwarzman College of Computing building
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Puzzling out climate change
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Can deep learning transform heart failure prevention?