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#Artificial Intelligence

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

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

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

    18 Sep
  • AI and machine learning for engineering design

    18 Sep
  • A greener way to 3D print stronger stuff

    18 Sep
  • A new generative AI approach to predicting chemical reactions

    18 Sep
  • 3 Questions: The pros and cons of synthetic data in AI

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

    18 Sep
  • MIT researchers develop AI tool to improve flu vaccine strain selection

    18 Sep
  • Simpler models can outperform deep learning at climate prediction

    18 Sep
  • New technologies tackle brain health assessment for the military

    18 Sep
  • Can large language models figure out the real world?

    18 Sep
  • A new model predicts how molecules will dissolve in different solvents

    18 Sep
  • Researchers glimpse the inner workings of protein language models

    18 Sep
  • How AI could speed the development of RNA vaccines and other RNA therapies

    18 Sep
  • Using generative AI, researchers design compounds that can kill drug-resistant bacteria

    18 Sep
  • A new way to test how well AI systems classify text

    18 Sep
  • MIT gears up to transform manufacturing

    18 Sep
  • Eco-driving measures could significantly reduce vehicle emissions

    18 Sep
  • School of Architecture and Planning welcomes new faculty for 2025

    18 Sep
  • Helping data storage keep up with the AI revolution

    18 Sep
  • MIT tool visualizes and edits “physically impossible” objects

    18 Sep
  • New algorithms enable efficient machine learning with symmetric data

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

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

    18 Sep
  • Pedestrians now walk faster and linger less, researchers find

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

    18 Sep
  • School of Architecture and Planning recognizes faculty with academic promotions in 2025

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

    18 Sep
  • A new way to edit or generate images

    18 Sep
  • The unique, mathematical shortcuts language models use to predict dynamic scenarios

    18 Sep
  • Model predicts long-term effects of nuclear waste on underground disposal systems

    18 Sep
  • This “smart coach” helps LLMs switch between text and code

    18 Sep
  • Can AI really code? Study maps the roadblocks to autonomous software engineering

    18 Sep
  • How to more efficiently study complex treatment interactions

    18 Sep
  • New AI system uncovers hidden cell subtypes, boosts precision medicine

    18 Sep
  • Changing the conversation in health care

    18 Sep
  • AI shapes autonomous underwater “gliders”

    18 Sep
  • Study could lead to LLMs that are better at complex reasoning

    18 Sep
  • Exploring data and its influence on political behavior

    18 Sep
  • New postdoctoral fellowship program to accelerate innovation in health care

    18 Sep
  • Robotic probe quickly measures key properties of new materials

    18 Sep
  • Confronting the AI/energy conundrum

    18 Sep
  • Accelerating scientific discovery with AI

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

    18 Sep
  • MIT and Mass General Brigham launch joint seed program to accelerate innovations in health

    18 Sep
  • Merging AI and underwater photography to reveal hidden ocean worlds

    18 Sep
  • LLMs factor in unrelated information when recommending medical treatments

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

    18 Sep
  • Combining technology, education, and human connection to improve online learning

    18 Sep
  • Unpacking the bias of large language models

    18 Sep
  • A sounding board for strengthening the student experience

    18 Sep
  • Celebrating an academic-industry collaboration to advance vehicle technology

    18 Sep
  • Bringing meaning into technology deployment

    18 Sep
  • Photonic processor could streamline 6G wireless signal processing

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

    18 Sep
  • Inroads to personalized AI trip planning

    18 Sep
  • Melding data, systems, and society

    18 Sep
  • How we really judge AI

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

    18 Sep
  • Envisioning a future where health care tech leaves some behind

    18 Sep
  • Helping machines understand visual content with AI

    18 Sep
  • Teaching AI models what they don’t know

    18 Sep
  • AI stirs up the recipe for concrete in MIT study

    18 Sep
  • Teaching AI models the broad strokes to sketch more like humans do

    18 Sep
  • 3 Questions: How to help students recognize potential bias in their AI datasets

    18 Sep
  • Rationale engineering generates a compact new tool for gene therapy

    18 Sep
  • An anomaly detection framework anyone can use

    18 Sep
  • Building networks of data science talent

    18 Sep
  • MIT announces the Initiative for New Manufacturing

    18 Sep
  • AI learns how vision and sound are connected, without human intervention

    18 Sep
  • Learning how to predict rare kinds of failures

    18 Sep
  • The sweet taste of a new idea

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

    18 Sep
  • Study shows vision-language models can’t handle queries with negation words

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

    18 Sep
  • Hybrid AI model crafts smooth, high-quality videos in seconds

    18 Sep
  • Q&A: A roadmap for revolutionizing health care through data-driven innovation

    18 Sep
  • New tool evaluates progress in reinforcement learning

    18 Sep
  • Novel AI model inspired by neural dynamics from the brain

    18 Sep
  • Making AI models more trustworthy for high-stakes settings

    18 Sep
  • The MIT-Portugal Program enters Phase 4

    18 Sep
  • Merging design and computer science in creative ways

    18 Sep
  • Novel method detects microbial contamination in cell cultures

    18 Sep
  • Artificial intelligence enhances air mobility planning

    18 Sep
  • Designing a new way to optimize complex coordinated systems

    18 Sep
  • New model predicts a chemical reaction’s point of no return

    18 Sep
  • “Periodic table of machine learning” could fuel AI discovery

    18 Sep
  • 3D modeling you can feel

    18 Sep
  • Norma Kamali is transforming the future of fashion with AI

    18 Sep
  • MIT’s McGovern Institute is shaping brain science and improving human lives on a global scale

    18 Sep
  • Making AI-generated code more accurate in any language

    18 Sep
  • A faster way to solve complex planning problems

    18 Sep
  • Training LLMs to self-detoxify their language

    18 Sep
  • New method efficiently safeguards sensitive AI training data

    18 Sep
  • Could LLMs help design our next medicines and materials?

    18 Sep
  • New method assesses and improves the reliability of radiologists’ diagnostic reports

    18 Sep
  • Taking the “training wheels” off clean energy

    18 Sep
  • Vana is letting users own a piece of the AI models trained on their data

    18 Sep
  • Researchers teach LLMs to solve complex planning challenges

    18 Sep

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