Category
Computer science and technology
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Using generative AI to help robots jump higher and land safely
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LLMs factor in unrelated information when recommending medical treatments
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Unpacking the bias of large language models
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Photonic processor could streamline 6G wireless signal processing
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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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Teaching AI models the broad strokes to sketch more like humans do
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An anomaly detection framework anyone can use
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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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Merging design and computer science in creative ways
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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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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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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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For this computer scientist, MIT Open Learning was the start of a life-changing journey
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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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Robotic helper making mistakes? Just nudge it in the right direction
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AI system predicts protein fragments that can bind to or inhibit a target
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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?
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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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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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New training approach could help AI agents perform better in uncertain conditions
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Toward video generative models of the molecular world
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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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Q&A: The climate impact of generative AI
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Teaching AI to communicate sounds like humans do
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Ecologists find computer vision models’ blind spots in retrieving wildlife images
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Need a research hypothesis? Ask AI.
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MIT researchers introduce Boltz-1, a fully open-source model for predicting biomolecular structures
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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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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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Improving health, one machine learning system at a time
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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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Can robots learn from machine dreams?
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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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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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3 Questions: Should we label AI systems like we do prescription drugs?
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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