Category
Research
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Sharing AI progress in mathematics
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Our framework for reporting model misalignment
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On the Navier–Stokes Millennium Prize Problem
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Research acceleration: The view inside OpenAI
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GPT-6 Astra: A new generation of intelligence
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Solving the solvent problem
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The benefits of medical AI assistance vary based on user expertise
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How enabling two settings tripled our scores on the ARC-AGI-3 benchmark
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Working to automate nuclear plant operations
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Working to automate nuclear plant operations
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A better way to turn 2D designs into 3D models for rapid prototyping
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3 Questions: Neural transparency and the future of AI design
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Helping AI models to meet the real world
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Helping AI models to meet the real world
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AI agents create virtual playgrounds to help robots get crucial training data
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New method aims to keep kids safe from illegal AI-generated content
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Tiny robot boats build floating structures
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Separating signal from noise in coding evaluations
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How novice coders can develop AI programs for military applications
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How Open Models Are Driving AI Research
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MIT in the media: Innovating and educating for the next 250 years of America
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Introducing GeneBench-Pro
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LLMs help robots understand vague instructions and focus on key details
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Improving the speed and energy-efficiency of AI agents
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New chip could help tiny robots traverse complex environments
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A better way to model the behavior of metal alloys
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MIT in the media: For the future of tech, « Massachusetts can absolutely lead »
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In game theory, generalists sometimes win out over specialists
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A near-autonomous AI chemist improves a challenging reaction in medicinal chemistry
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Could AI tell you where you left your keys?
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Introducing LifeSciBench
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Predicting model behavior before release by simulating deployment
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When it comes to predicting people’s preferences, it pays to consider “the power of three”
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The consequences of relying on AI for accurate news
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NSF renews support for MIT-led AI and physics institute, expanding a new model for discovery
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Dreaming: Better memory for a more helpful ChatGPT
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Teaching AI agents to ask better questions by playing “Battleship”
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NVIDIA Research Unlocks Advanced Grasping, Smarter Autonomous Driving and Agent Training at Scale
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MIT researchers teach AI models to interpret charts
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Media Advisory: MIT to establish regional quantum hub
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NVIDIA Research Advances Robotics From Simulation to the Real World
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An OpenAI model has disproved a central conjecture in discrete geometry
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What Parameter Golf taught us about AI-assisted research
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Powering the Next American Century: US Energy Secretary Chris Wright and NVIDIA’s Ian Buck on the Genesis Mission
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Making the case for curiosity-driven science
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Solving the “Whac-a-mole dilemma”: A smarter way to debias AI vision models
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The MIT-IBM Computing Research Lab launches to shape the future of AI and quantum computing
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Enabling privacy-preserving AI training on everyday devices
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A faster way to estimate AI power consumption
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Making Sense of the Early Universe
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Teaching AI models to say “I’m not sure”
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Introducing OpenAI Privacy Filter
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Introducing GPT-Rosalind for life sciences research
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Human-machine teaming dives underwater
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New technique makes AI models leaner and faster while they’re still learning
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Helping data centers deliver higher performance with less hardware
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Evaluating the ethics of autonomous systems
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Preview tool helps makers visualize 3D-printed objects
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MIT researchers use AI to uncover atomic defects in materials
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MIT engineers design proteins by their motion, not just their shape
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AI system learns to keep warehouse robot traffic running smoothly
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Augmenting citizen science with computer vision for fish monitoring
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Wristband enables wearers to control a robotic hand with their own movements
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Inside our approach to the Model Spec
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How to create “humble” AI
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MIT and Hasso Plattner Institute establish collaborative hub for AI and creativity
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A better method for identifying overconfident large language models
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Generative AI improves a wireless vision system that sees through obstructions
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MIT-IBM Watson AI Lab seed to signal: Amplifying early-career faculty impact
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Can AI help predict which heart-failure patients will worsen within a year?
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3 Questions: On the future of AI and the mathematical and physical sciences
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A better method for planning complex visual tasks
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Improving instruction hierarchy in frontier LLMs
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Improving AI models’ ability to explain their predictions
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Reasoning models struggle to control their chains of thought, and that’s good
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Extending single-minus amplitudes to gravitons
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A “ChatGPT for spreadsheets” helps solve difficult engineering challenges faster
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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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Our First Proof submissions
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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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Introducing EVMbench
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GPT-5.2 derives a new result in theoretical physics
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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