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#Artificial Intelligence

  • MIT Energy Initiative conference spotlights research priorities amidst a changing energy landscape

    29 Avr
  • MIT Energy Initiative conference spotlights research priorities amidst a changing energy landscape

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  • Understanding the nuances of human-like intelligence

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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

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

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  • Teaching robots to map large environments

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  • Helping K-12 schools navigate the complex world of AI

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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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  • Five with MIT ties elected to National Academy of Medicine for 2025

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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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  • Method teaches generative AI models to locate personalized objects

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  • Remembering Professor Emerita Jeanne Shapiro  Bamberger, a pioneer in music education

    29 Avr
  • Blending neuroscience, AI, and music to create mental health innovations

    29 Avr
  • 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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  • Helping scientists run complex data analyses without writing code

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  • Ray Kurzweil ’70 reinforces his optimism in tech progress

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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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  • Fighting for the health of the planet with AI

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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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  • Martin Trust Center for MIT Entrepreneurship welcomes Ana Bakshi as new executive director

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  • Lincoln Lab unveils the most powerful AI supercomputer at any US university

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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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  • Improving the workplace of the future

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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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  • How are MIT entrepreneurs using AI?

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  • What does the future hold for generative AI?

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  • How to build AI scaling laws for efficient LLM training and budget maximization

    29 Avr
  • Machine-learning tool gives doctors a more detailed 3D picture of fetal health

    29 Avr
  • DoE selects MIT to establish a Center for the Exascale Simulation of Coupled High-Enthalpy Fluid–Solid Interactions

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  • AI and machine learning for engineering design

    29 Avr
  • A greener way to 3D print stronger stuff

    29 Avr
  • A new generative AI approach to predicting chemical reactions

    29 Avr
  • 3 Questions: The pros and cons of synthetic data in AI

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  • 3 Questions: On biology and medicine’s “data revolution”

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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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  • New technologies tackle brain health assessment for the military

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  • Can large language models figure out the real world?

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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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  • MIT gears up to transform manufacturing

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  • Eco-driving measures could significantly reduce vehicle emissions

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  • School of Architecture and Planning welcomes new faculty for 2025

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  • Helping data storage keep up with the AI revolution

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  • MIT tool visualizes and edits “physically impossible” objects

    29 Avr
  • New algorithms enable efficient machine learning with symmetric data

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  • “FUTURE PHASES” showcases new frontiers in music technology and interactive performance

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  • Robot, know thyself: New vision-based system teaches machines to understand their bodies

    29 Avr
  • Pedestrians now walk faster and linger less, researchers find

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  • New machine-learning application to help researchers predict chemical properties

    29 Avr
  • School of Architecture and Planning recognizes faculty with academic promotions in 2025

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  • MIT Learn offers “a whole new front door to the Institute”

    29 Avr
  • A new way to edit or generate images

    29 Avr
  • The unique, mathematical shortcuts language models use to predict dynamic scenarios

    29 Avr
  • Model predicts long-term effects of nuclear waste on underground disposal systems

    29 Avr
  • This “smart coach” helps LLMs switch between text and code

    29 Avr
  • 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

    29 Avr
  • Changing the conversation in health care

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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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  • Exploring data and its influence on political behavior

    29 Avr
  • 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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  • Confronting the AI/energy conundrum

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  • Accelerating scientific discovery with AI

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  • Using generative AI to help robots jump higher and land safely

    29 Avr
  • MIT and Mass General Brigham launch joint seed program to accelerate innovations in health

    29 Avr
  • Merging AI and underwater photography to reveal hidden ocean worlds

    29 Avr
  • LLMs factor in unrelated information when recommending medical treatments

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  • Researchers present bold ideas for AI at MIT Generative AI Impact Consortium kickoff event

    29 Avr
  • Combining technology, education, and human connection to improve online learning

    29 Avr
  • Unpacking the bias of large language models

    29 Avr
  • A sounding board for strengthening the student experience

    29 Avr
  • Celebrating an academic-industry collaboration to advance vehicle technology

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  • Bringing meaning into technology deployment

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  • Photonic processor could streamline 6G wireless signal processing

    29 Avr
  • Have a damaged painting? Restore it in just hours with an AI-generated “mask”

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  • Inroads to personalized AI trip planning

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  • Melding data, systems, and society

    29 Avr
  • How we really judge AI

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  • AI-enabled control system helps autonomous drones stay on target in uncertain environments

    29 Avr
  • Envisioning a future where health care tech leaves some behind

    29 Avr
  • Helping machines understand visual content with AI

    29 Avr
  • Teaching AI models what they don’t know

    29 Avr

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