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#School of Engineering

  • Understanding the nuances of human-like intelligence

    16 Nov
  • Charting the future of AI, from safer answers to faster thinking

    16 Nov
  • MIT researchers propose a new model for legible, modular software

    16 Nov
  • Teaching robots to map large environments

    16 Nov
  • 3 Questions: How AI is helping us monitor and support vulnerable ecosystems

    16 Nov
  • A faster problem-solving tool that guarantees feasibility

    16 Nov
  • The brain power behind sustainable AI

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

    16 Nov
  • Creating AI that matters

    16 Nov
  • New software designs eco-friendly clothing that can reassemble into new items

    16 Nov
  • Method teaches generative AI models to locate personalized objects

    16 Nov
  • Blending neuroscience, AI, and music to create mental health innovations

    16 Nov
  • Checking the quality of materials just got easier with a new AI tool

    16 Nov
  • Helping scientists run complex data analyses without writing code

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

    16 Nov
  • Using generative AI to diversify virtual training grounds for robots

    16 Nov
  • Fighting for the health of the planet with AI

    16 Nov
  • Printable aluminum alloy sets strength records, may enable lighter aircraft parts

    16 Nov
  • New prediction model could improve the reliability of fusion power plants

    16 Nov
  • AI maps how a new antibiotic targets gut bacteria

    16 Nov
  • Responding to the climate impact of generative AI

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

    16 Nov
  • New AI system could accelerate clinical research

    16 Nov
  • New tool makes generative AI models more likely to create breakthrough materials

    16 Nov
  • What does the future hold for generative AI?

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

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

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

    16 Nov
  • AI and machine learning for engineering design

    16 Nov
  • A greener way to 3D print stronger stuff

    16 Nov
  • A new generative AI approach to predicting chemical reactions

    16 Nov
  • 3 Questions: The pros and cons of synthetic data in AI

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

    16 Nov
  • MIT researchers develop AI tool to improve flu vaccine strain selection

    16 Nov
  • Can large language models figure out the real world?

    16 Nov
  • A new model predicts how molecules will dissolve in different solvents

    16 Nov
  • Researchers glimpse the inner workings of protein language models

    16 Nov
  • How AI could speed the development of RNA vaccines and other RNA therapies

    16 Nov
  • Using generative AI, researchers design compounds that can kill drug-resistant bacteria

    16 Nov
  • A new way to test how well AI systems classify text

    16 Nov
  • MIT gears up to transform manufacturing

    16 Nov
  • Eco-driving measures could significantly reduce vehicle emissions

    16 Nov
  • Helping data storage keep up with the AI revolution

    16 Nov
  • MIT tool visualizes and edits “physically impossible” objects

    16 Nov
  • New algorithms enable efficient machine learning with symmetric data

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

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

    16 Nov
  • A new way to edit or generate images

    16 Nov
  • The unique, mathematical shortcuts language models use to predict dynamic scenarios

    16 Nov
  • Model predicts long-term effects of nuclear waste on underground disposal systems

    16 Nov
  • Can AI really code? Study maps the roadblocks to autonomous software engineering

    16 Nov
  • How to more efficiently study complex treatment interactions

    16 Nov
  • New AI system uncovers hidden cell subtypes, boosts precision medicine

    16 Nov
  • Changing the conversation in health care

    16 Nov
  • AI shapes autonomous underwater “gliders”

    16 Nov
  • Study could lead to LLMs that are better at complex reasoning

    16 Nov
  • New postdoctoral fellowship program to accelerate innovation in health care

    16 Nov
  • Robotic probe quickly measures key properties of new materials

    16 Nov
  • Confronting the AI/energy conundrum

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

    16 Nov
  • MIT and Mass General Brigham launch joint seed program to accelerate innovations in health

    16 Nov
  • Merging AI and underwater photography to reveal hidden ocean worlds

    16 Nov
  • LLMs factor in unrelated information when recommending medical treatments

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

    16 Nov
  • Unpacking the bias of large language models

    16 Nov
  • A sounding board for strengthening the student experience

    16 Nov
  • Celebrating an academic-industry collaboration to advance vehicle technology

    16 Nov
  • Bringing meaning into technology deployment

    16 Nov
  • Photonic processor could streamline 6G wireless signal processing

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

    16 Nov
  • Inroads to personalized AI trip planning

    16 Nov
  • Melding data, systems, and society

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

    16 Nov
  • Envisioning a future where health care tech leaves some behind

    16 Nov
  • Helping machines understand visual content with AI

    16 Nov
  • Teaching AI models what they don’t know

    16 Nov
  • AI stirs up the recipe for concrete in MIT study

    16 Nov
  • Teaching AI models the broad strokes to sketch more like humans do

    16 Nov
  • 3 Questions: How to help students recognize potential bias in their AI datasets

    16 Nov
  • Rationale engineering generates a compact new tool for gene therapy

    16 Nov
  • An anomaly detection framework anyone can use

    16 Nov
  • AI learns how vision and sound are connected, without human intervention

    16 Nov
  • Learning how to predict rare kinds of failures

    16 Nov
  • The sweet taste of a new idea

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

    16 Nov
  • Study shows vision-language models can’t handle queries with negation words

    16 Nov
  • Hybrid AI model crafts smooth, high-quality videos in seconds

    16 Nov
  • New tool evaluates progress in reinforcement learning

    16 Nov
  • Novel AI model inspired by neural dynamics from the brain

    16 Nov
  • Making AI models more trustworthy for high-stakes settings

    16 Nov
  • The MIT-Portugal Program enters Phase 4

    16 Nov
  • Merging design and computer science in creative ways

    16 Nov
  • Novel method detects microbial contamination in cell cultures

    16 Nov
  • Designing a new way to optimize complex coordinated systems

    16 Nov
  • New model predicts a chemical reaction’s point of no return

    16 Nov
  • “Periodic table of machine learning” could fuel AI discovery

    16 Nov
  • 3D modeling you can feel

    16 Nov
  • Norma Kamali is transforming the future of fashion with AI

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

    16 Nov
  • Making AI-generated code more accurate in any language

    16 Nov

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