Category
Research
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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
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Learn Your Way uses AI to transform textbook materials into interactive guides.
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How to build AI scaling laws for efficient LLM training and budget maximization
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Machine-learning tool gives doctors a more detailed 3D picture of fetal health
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How AI is helping 38 million farmers with advance weather predictions
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DoE selects MIT to establish a Center for the Exascale Simulation of Coupled High-Enthalpy Fluid–Solid Interactions
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AI Quests: Bringing AI literacy to the classroom
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How Simplify in the Google app makes complex text easier to understand
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A greener way to 3D print stronger stuff
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A new generative AI approach to predicting chemical reactions
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3 Questions: The pros and cons of synthetic data in AI
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MIT researchers develop AI tool to improve flu vaccine strain selection
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Simpler models can outperform deep learning at climate prediction
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A new model predicts how molecules will dissolve in different solvents
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Researchers glimpse the inner workings of protein language models
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How AI could speed the development of RNA vaccines and other RNA therapies
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Using generative AI, researchers design compounds that can kill drug-resistant bacteria
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A new way to test how well AI systems classify text
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Applications Now Open for $60,000 NVIDIA Graduate Fellowship Awards
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NVIDIA Research Shapes Physical AI
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Eco-driving measures could significantly reduce vehicle emissions
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MIT tool visualizes and edits “physically impossible” objects
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How we’re using AI to help track and predict cyclones
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Google Earth AI: Our state-of-the-art geospatial AI models
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New algorithms enable efficient machine learning with symmetric data
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Robot, know thyself: New vision-based system teaches machines to understand their bodies
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New machine-learning application to help researchers predict chemical properties
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A new way to edit or generate images
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The unique, mathematical shortcuts language models use to predict dynamic scenarios
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Model predicts long-term effects of nuclear waste on underground disposal systems
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This “smart coach” helps LLMs switch between text and code
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Can AI really code? Study maps the roadblocks to autonomous software engineering
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How to more efficiently study complex treatment interactions
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New AI system uncovers hidden cell subtypes, boosts precision medicine
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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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The latest AI news we announced in June
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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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LLMs factor in unrelated information when recommending medical treatments
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Unpacking the bias of large language models
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Behind “ANCESTRA:” combining Veo with live-action filmmaking
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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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NVIDIA Scores Consecutive Win for End-to-End Autonomous Driving Grand Challenge at CVPR
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NVIDIA Research Casts New Light on Scenes With AI-Powered Rendering for Physical AI Development
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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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How we built one of the most ambitious datasets in brain activity research