Category
Research
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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
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Helping AI agents search to get the best results out of large language models
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GPT-5 lowers the cost of cell-free protein synthesis
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SMART launches new Wearable Imaging for Transforming Elderly Care research group
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SMART launches new Wearable Imaging for Transforming Elderly Care research group
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How generative AI can help scientists synthesize complex materials
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Why it’s critical to move beyond overly aggregated machine-learning metrics
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At MIT, a continued commitment to understanding intelligence
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3 Questions: How AI could optimize the power grid
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Decoding the Arctic to predict winter weather
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Japan Science and Technology Agency Develops NVIDIA-Powered Moonshot Robot for Elderly Care
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MIT scientists investigate memorization risk in the age of clinical AI
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Google’s year in review: 8 areas with research breakthroughs in 2025
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Marine Biological Laboratory Explores Human Memory With AI and Virtual Reality
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Guided learning lets “untrainable” neural networks realize their potential
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A new way to increase the capabilities of large language models
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A “scientific sandbox” lets researchers explore the evolution of vision systems
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UC San Diego Lab Advances Generative AI Research With NVIDIA DGX B200 System
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“Robot, make me a chair”
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Deep-learning model predicts how fruit flies form, cell by cell
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Enabling small language models to solve complex reasoning tasks
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New method improves the reliability of statistical estimations
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4 highlights from Google Beam in 2025
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New materials could boost the energy efficiency of microelectronics
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MIT researchers “speak objects into existence” using AI and robotics
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NVIDIA Awards up to $60,000 Research Fellowships to PhD Students
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A smarter way for large language models to think about hard problems
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MIT engineers design an aerial microrobot that can fly as fast as a bumblebee
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Helping power-system planners prepare for an unknown future
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New control system teaches soft robots the art of staying safe
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At NeurIPS, NVIDIA Advances Open Model Development for Digital and Physical AI
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Researchers discover a shortcoming that makes LLMs less reliable
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MIT scientists debut a generative AI model that could create molecules addressing hard-to-treat diseases
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How artificial intelligence can help achieve a clean energy future
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The Largest Digital Zoo: Biology Model Trained on NVIDIA GPUs Identifies Over a Million Species
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The cost of thinking
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At our Research@ Poland event we shared how AI is helping us solve big challenges.
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New AI agent learns to use CAD to create 3D objects from sketches
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The Great Flip: How Accelerated Computing Redefined Scientific Systems — and What Comes Next
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NVIDIA Accelerated Computing Enables Scientific Breakthroughs for Materials Discovery
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WeatherNext 2: Our most advanced weather forecasting model
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MIT Energy Initiative launches Data Center Power Forum
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Charting the future of AI, from safer answers to faster thinking
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MIT researchers propose a new model for legible, modular software
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Teaching robots to map large environments
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The latest AI news we announced in October
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3 Questions: How AI is helping us monitor and support vulnerable ecosystems
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A faster problem-solving tool that guarantees feasibility
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The brain power behind sustainable AI
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New updates and more access to Google Earth AI
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Creating AI that matters
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New software designs eco-friendly clothing that can reassemble into new items
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10 years of genomics research at Google
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DeepSomatic, an open-source AI model, is speeding up genetic analysis for cancer research.
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Method teaches generative AI models to locate personalized objects
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Optimizing food subsidies: Applying digital platforms to maximize nutrition
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Checking the quality of materials just got easier with a new AI tool
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MIT Schwarzman College of Computing and MBZUAI launch international collaboration to shape the future of AI
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Using generative AI to diversify virtual training grounds for robots
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Googler Michel Devoret awarded the Nobel Prize in Physics
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Printable aluminum alloy sets strength records, may enable lighter aircraft parts
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New prediction model could improve the reliability of fusion power plants
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AI maps how a new antibiotic targets gut bacteria
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Responding to the climate impact of generative AI
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AI system learns from many types of scientific information and runs experiments to discover new materials
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New AI system could accelerate clinical research
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MIT affiliates win AI for Math grants to accelerate mathematical discovery
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New tool makes generative AI models more likely to create breakthrough materials