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#School of Engineering

  • The brain power behind sustainable AI

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

    26 Oct
  • Creating AI that matters

    26 Oct
  • New software designs eco-friendly clothing that can reassemble into new items

    26 Oct
  • Method teaches generative AI models to locate personalized objects

    26 Oct
  • Blending neuroscience, AI, and music to create mental health innovations

    26 Oct
  • Checking the quality of materials just got easier with a new AI tool

    26 Oct
  • Helping scientists run complex data analyses without writing code

    26 Oct
  • MIT Schwarzman College of Computing and MBZUAI launch international collaboration to shape the future of AI

    26 Oct
  • Using generative AI to diversify virtual training grounds for robots

    26 Oct
  • Fighting for the health of the planet with AI

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

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

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

    26 Oct
  • Responding to the climate impact of generative AI

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

    26 Oct
  • New AI system could accelerate clinical research

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

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

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

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

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

    26 Oct
  • AI and machine learning for engineering design

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

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

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

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

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

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

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

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

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

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

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

    26 Oct
  • MIT gears up to transform manufacturing

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

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

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

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

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

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

    26 Oct
  • A new way to edit or generate images

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

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

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

    26 Oct
  • How to more efficiently study complex treatment interactions

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

    26 Oct
  • Changing the conversation in health care

    26 Oct
  • AI shapes autonomous underwater “gliders”

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

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

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

    26 Oct
  • Confronting the AI/energy conundrum

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

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

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

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

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

    26 Oct
  • Unpacking the bias of large language models

    26 Oct
  • A sounding board for strengthening the student experience

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

    26 Oct
  • Bringing meaning into technology deployment

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

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

    26 Oct
  • Inroads to personalized AI trip planning

    26 Oct
  • Melding data, systems, and society

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

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

    26 Oct
  • Helping machines understand visual content with AI

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

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

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

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

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

    26 Oct
  • An anomaly detection framework anyone can use

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

    26 Oct
  • Learning how to predict rare kinds of failures

    26 Oct
  • The sweet taste of a new idea

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

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

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

    26 Oct
  • New tool evaluates progress in reinforcement learning

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

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

    26 Oct
  • The MIT-Portugal Program enters Phase 4

    26 Oct
  • Merging design and computer science in creative ways

    26 Oct
  • Novel method detects microbial contamination in cell cultures

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

    26 Oct
  • New model predicts a chemical reaction’s point of no return

    26 Oct
  • “Periodic table of machine learning” could fuel AI discovery

    26 Oct
  • 3D modeling you can feel

    26 Oct
  • Norma Kamali is transforming the future of fashion with AI

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

    26 Oct
  • Making AI-generated code more accurate in any language

    26 Oct
  • A faster way to solve complex planning problems

    26 Oct
  • Training LLMs to self-detoxify their language

    26 Oct
  • New method efficiently safeguards sensitive AI training data

    26 Oct
  • Could LLMs help design our next medicines and materials?

    26 Oct
  • New method assesses and improves the reliability of radiologists’ diagnostic reports

    26 Oct
  • Researchers teach LLMs to solve complex planning challenges

    26 Oct

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