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Research

  • A philosophy of work

    9 Avr
  • New technique makes AI models leaner and faster while they’re still learning

    9 Avr
  • Helping data centers deliver higher performance with less hardware

    9 Avr
  • Evaluating the ethics of autonomous systems

    9 Avr
  • Preview tool helps makers visualize 3D-printed objects

    9 Avr
  • MIT researchers use AI to uncover atomic defects in materials

    9 Avr
  • MIT engineers design proteins by their motion, not just their shape

    9 Avr
  • AI system learns to keep warehouse robot traffic running smoothly

    9 Avr
  • Augmenting citizen science with computer vision for fish monitoring

    9 Avr
  • Wristband enables wearers to control a robotic hand with their own movements

    9 Avr
  • Inside our approach to the Model Spec

    9 Avr
  • How to create “humble” AI

    9 Avr
  • MIT and Hasso Plattner Institute establish collaborative hub for AI and creativity

    9 Avr
  • A better method for identifying overconfident large language models

    9 Avr
  • Generative AI improves a wireless vision system that sees through obstructions

    9 Avr
  • MIT-IBM Watson AI Lab seed to signal: Amplifying early-career faculty impact

    9 Avr
  • Can AI help predict which heart-failure patients will worsen within a year?

    9 Avr
  • 3 Questions: On the future of AI and the mathematical and physical sciences

    9 Avr
  • A better method for planning complex visual tasks

    9 Avr
  • Improving instruction hierarchy in frontier LLMs

    9 Avr
  • Improving AI models’ ability to explain their predictions

    9 Avr
  • Reasoning models struggle to control their chains of thought, and that’s good

    9 Avr
  • Extending single-minus amplitudes to gravitons

    9 Avr
  • A “ChatGPT for spreadsheets” helps solve difficult engineering challenges faster

    9 Avr
  • New method could increase LLM training efficiency

    9 Avr
  • Mixing generative AI with physics to create personal items that work in the real world

    9 Avr
  • AI to help researchers see the bigger picture in cell biology

    9 Avr
  • Enhancing maritime cybersecurity with technology and policy

    9 Avr
  • Our First Proof submissions

    9 Avr
  • Study: AI chatbots provide less-accurate information to vulnerable users

    9 Avr
  • Exposing biases, moods, personalities, and abstract concepts hidden in large language models

    9 Avr
  • Parking-aware navigation system could prevent frustration and emissions

    9 Avr
  • Personalization features can make LLMs more agreeable

    9 Avr
  • Introducing EVMbench

    9 Avr
  • GPT-5.2 derives a new result in theoretical physics

    9 Avr
  • New J-PAL research and policy initiative to test and scale AI innovations to fight poverty

    9 Avr
  • Accelerating science with AI and simulations

    9 Avr
  • Using synthetic biology and AI to address global antimicrobial resistance threat

    9 Avr
  • AI algorithm enables tracking of vital white matter pathways

    9 Avr
  • 3 Questions: Using AI to help Olympic skaters land a quint

    9 Avr
  • Study: Platforms that rank the latest LLMs can be unreliable

    9 Avr
  • “This is science!” – MIT president talks about the importance of America’s research enterprise on GBH’s Boston Public Radio

    9 Avr
  • Helping AI agents search to get the best results out of large language models

    9 Avr
  • GPT-5 lowers the cost of cell-free protein synthesis

    9 Avr
  • SMART launches new Wearable Imaging for Transforming Elderly Care research group

    9 Avr
  • SMART launches new Wearable Imaging for Transforming Elderly Care research group

    9 Avr
  • How generative AI can help scientists synthesize complex materials

    9 Avr
  • Why it’s critical to move beyond overly aggregated machine-learning metrics

    9 Avr
  • At MIT, a continued commitment to understanding intelligence

    9 Avr
  • 3 Questions: How AI could optimize the power grid

    9 Avr
  • Decoding the Arctic to predict winter weather

    9 Avr
  • Japan Science and Technology Agency Develops NVIDIA-Powered Moonshot Robot for Elderly Care

    9 Avr
  • MIT scientists investigate memorization risk in the age of clinical AI

    9 Avr
  • Google’s year in review: 8 areas with research breakthroughs in 2025

    9 Avr
  • MIT in the media: 2025 in review

    9 Avr
  • Marine Biological Laboratory Explores Human Memory With AI and Virtual Reality

    9 Avr
  • Guided learning lets “untrainable” neural networks realize their potential

    9 Avr
  • A new way to increase the capabilities of large language models

    9 Avr
  • A “scientific sandbox” lets researchers explore the evolution of vision systems

    9 Avr
  • UC San Diego Lab Advances Generative AI Research With NVIDIA DGX B200 System

    9 Avr
  • “Robot, make me a chair”

    9 Avr
  • Deep-learning model predicts how fruit flies form, cell by cell

    9 Avr
  • Enabling small language models to solve complex reasoning tasks

    9 Avr
  • New method improves the reliability of statistical estimations

    9 Avr
  • 4 highlights from Google Beam in 2025

    9 Avr
  • New materials could boost the energy efficiency of microelectronics

    9 Avr
  • MIT researchers “speak objects into existence” using AI and robotics

    9 Avr
  • NVIDIA Awards up to $60,000 Research Fellowships to PhD Students

    9 Avr
  • A smarter way for large language models to think about hard problems

    9 Avr
  • MIT engineers design an aerial microrobot that can fly as fast as a bumblebee

    9 Avr
  • Helping power-system planners prepare for an unknown future

    9 Avr
  • New control system teaches soft robots the art of staying safe

    9 Avr
  • At NeurIPS, NVIDIA Advances Open Model Development for Digital and Physical AI

    9 Avr
  • Researchers discover a shortcoming that makes LLMs less reliable

    9 Avr
  • MIT scientists debut a generative AI model that could create molecules addressing hard-to-treat diseases

    9 Avr
  • How artificial intelligence can help achieve a clean energy future

    9 Avr
  • The Largest Digital Zoo: Biology Model Trained on NVIDIA GPUs Identifies Over a Million Species

    9 Avr
  • The cost of thinking

    9 Avr
  • At our Research@ Poland event we shared how AI is helping us solve big challenges.

    9 Avr
  • New AI agent learns to use CAD to create 3D objects from sketches

    9 Avr
  • Gordon Bell Prize Winners Push Open Science Boundaries With NVIDIA-Powered Supercomputers

    9 Avr
  • The Great Flip: How Accelerated Computing Redefined Scientific Systems — and What Comes Next

    9 Avr
  • NVIDIA Accelerated Computing Enables Scientific Breakthroughs for Materials Discovery

    9 Avr
  • WeatherNext 2: Our most advanced weather forecasting model

    9 Avr
  • MIT Energy Initiative launches Data Center Power Forum

    9 Avr
  • Charting the future of AI, from safer answers to faster thinking

    9 Avr
  • MIT researchers propose a new model for legible, modular software

    9 Avr
  • Teaching robots to map large environments

    9 Avr
  • The latest AI news we announced in October

    9 Avr
  • 3 Questions: How AI is helping us monitor and support vulnerable ecosystems

    9 Avr
  • A faster problem-solving tool that guarantees feasibility

    9 Avr
  • The brain power behind sustainable AI

    9 Avr
  • New updates and more access to Google Earth AI

    9 Avr
  • Creating AI that matters

    9 Avr
  • UC Santa Cruz Maps Coastal Flooding With NVIDIA Accelerated Computing

    9 Avr
  • New software designs eco-friendly clothing that can reassemble into new items

    9 Avr
  • 10 years of genomics research at Google

    9 Avr
  • DeepSomatic, an open-source AI model, is speeding up genetic analysis for cancer research.

    9 Avr
  • Method teaches generative AI models to locate personalized objects

    9 Avr
  • Optimizing food subsidies: Applying digital platforms to maximize nutrition

    9 Avr

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