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#Artificial Intelligence

  • Fighting for the health of the planet with AI

    8 Oct
  • Printable aluminum alloy sets strength records, may enable lighter aircraft parts

    8 Oct
  • New prediction model could improve the reliability of fusion power plants

    8 Oct
  • AI maps how a new antibiotic targets gut bacteria

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

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

    8 Oct
  • Responding to the climate impact of generative AI

    8 Oct
  • AI system learns from many types of scientific information and runs experiments to discover new materials

    8 Oct
  • New AI system could accelerate clinical research

    8 Oct
  • Improving the workplace of the future

    8 Oct
  • MIT affiliates win AI for Math grants to accelerate mathematical discovery

    8 Oct
  • New tool makes generative AI models more likely to create breakthrough materials

    8 Oct
  • How are MIT entrepreneurs using AI?

    8 Oct
  • What does the future hold for generative AI?

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

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

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

    8 Oct
  • AI and machine learning for engineering design

    8 Oct
  • A greener way to 3D print stronger stuff

    8 Oct
  • A new generative AI approach to predicting chemical reactions

    8 Oct
  • 3 Questions: The pros and cons of synthetic data in AI

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

    8 Oct
  • MIT researchers develop AI tool to improve flu vaccine strain selection

    8 Oct
  • Simpler models can outperform deep learning at climate prediction

    8 Oct
  • New technologies tackle brain health assessment for the military

    8 Oct
  • Can large language models figure out the real world?

    8 Oct
  • A new model predicts how molecules will dissolve in different solvents

    8 Oct
  • Researchers glimpse the inner workings of protein language models

    8 Oct
  • How AI could speed the development of RNA vaccines and other RNA therapies

    8 Oct
  • Using generative AI, researchers design compounds that can kill drug-resistant bacteria

    8 Oct
  • A new way to test how well AI systems classify text

    8 Oct
  • MIT gears up to transform manufacturing

    8 Oct
  • Eco-driving measures could significantly reduce vehicle emissions

    8 Oct
  • School of Architecture and Planning welcomes new faculty for 2025

    8 Oct
  • Helping data storage keep up with the AI revolution

    8 Oct
  • MIT tool visualizes and edits “physically impossible” objects

    8 Oct
  • New algorithms enable efficient machine learning with symmetric data

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

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

    8 Oct
  • Pedestrians now walk faster and linger less, researchers find

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

    8 Oct
  • School of Architecture and Planning recognizes faculty with academic promotions in 2025

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

    8 Oct
  • A new way to edit or generate images

    8 Oct
  • The unique, mathematical shortcuts language models use to predict dynamic scenarios

    8 Oct
  • Model predicts long-term effects of nuclear waste on underground disposal systems

    8 Oct
  • This “smart coach” helps LLMs switch between text and code

    8 Oct
  • Can AI really code? Study maps the roadblocks to autonomous software engineering

    8 Oct
  • How to more efficiently study complex treatment interactions

    8 Oct
  • New AI system uncovers hidden cell subtypes, boosts precision medicine

    8 Oct
  • Changing the conversation in health care

    8 Oct
  • AI shapes autonomous underwater “gliders”

    8 Oct
  • Study could lead to LLMs that are better at complex reasoning

    8 Oct
  • Exploring data and its influence on political behavior

    8 Oct
  • New postdoctoral fellowship program to accelerate innovation in health care

    8 Oct
  • Robotic probe quickly measures key properties of new materials

    8 Oct
  • Confronting the AI/energy conundrum

    8 Oct
  • Accelerating scientific discovery with AI

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

    8 Oct
  • MIT and Mass General Brigham launch joint seed program to accelerate innovations in health

    8 Oct
  • Merging AI and underwater photography to reveal hidden ocean worlds

    8 Oct
  • LLMs factor in unrelated information when recommending medical treatments

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

    8 Oct
  • Combining technology, education, and human connection to improve online learning

    8 Oct
  • Unpacking the bias of large language models

    8 Oct
  • A sounding board for strengthening the student experience

    8 Oct
  • Celebrating an academic-industry collaboration to advance vehicle technology

    8 Oct
  • Bringing meaning into technology deployment

    8 Oct
  • Photonic processor could streamline 6G wireless signal processing

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

    8 Oct
  • Inroads to personalized AI trip planning

    8 Oct
  • Melding data, systems, and society

    8 Oct
  • How we really judge AI

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

    8 Oct
  • Envisioning a future where health care tech leaves some behind

    8 Oct
  • Helping machines understand visual content with AI

    8 Oct
  • Teaching AI models what they don’t know

    8 Oct
  • AI stirs up the recipe for concrete in MIT study

    8 Oct
  • Teaching AI models the broad strokes to sketch more like humans do

    8 Oct
  • 3 Questions: How to help students recognize potential bias in their AI datasets

    8 Oct
  • Rationale engineering generates a compact new tool for gene therapy

    8 Oct
  • An anomaly detection framework anyone can use

    8 Oct
  • Building networks of data science talent

    8 Oct
  • MIT announces the Initiative for New Manufacturing

    8 Oct
  • AI learns how vision and sound are connected, without human intervention

    8 Oct
  • Learning how to predict rare kinds of failures

    8 Oct
  • The sweet taste of a new idea

    8 Oct
  • With AI, researchers predict the location of virtually any protein within a human cell

    8 Oct
  • Study shows vision-language models can’t handle queries with negation words

    8 Oct
  • MIT Department of Economics to launch James M. and Cathleen D. Stone Center on Inequality and Shaping the Future of Work

    8 Oct
  • Hybrid AI model crafts smooth, high-quality videos in seconds

    8 Oct
  • Q&A: A roadmap for revolutionizing health care through data-driven innovation

    8 Oct
  • New tool evaluates progress in reinforcement learning

    8 Oct
  • Novel AI model inspired by neural dynamics from the brain

    8 Oct
  • Making AI models more trustworthy for high-stakes settings

    8 Oct
  • The MIT-Portugal Program enters Phase 4

    8 Oct
  • Merging design and computer science in creative ways

    8 Oct
  • Novel method detects microbial contamination in cell cultures

    8 Oct
  • Artificial intelligence enhances air mobility planning

    8 Oct
  • Designing a new way to optimize complex coordinated systems

    8 Oct

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