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#School of Engineering

  • Building AI models that understand chemical principles

    20 Mai
  • Justin Solomon appointed associate dean of engineering education

    20 Mai
  • Two from MIT named 2026 Knight-Hennessy Scholars

    20 Mai
  • Games people — and machines — play: Untangling strategic reasoning to advance AI

    20 Mai
  • Beacon Biosignals is mapping the brain during sleep

    20 Mai
  • Solving the “Whac-a-mole dilemma”: A smarter way to debias AI vision models

    20 Mai
  • Enabling privacy-preserving AI training on everyday devices

    20 Mai
  • A faster way to estimate AI power consumption

    20 Mai
  • MIT scientists build the world’s largest collection of Olympiad-level math problems, and open it to everyone

    20 Mai
  • Teaching AI models to say “I’m not sure”

    20 Mai
  • Jacob Andreas and Brett McGuire named Edgerton Award winners

    20 Mai
  • Bringing AI-driven protein-design tools to biologists everywhere

    20 Mai
  • Q&A: MIT SHASS and the future of education in the age of AI

    20 Mai
  • Human-machine teaming dives underwater

    20 Mai
  • New technique makes AI models leaner and faster while they’re still learning

    20 Mai
  • Sixteen new START.nano companies are developing hard-tech solutions with the support of MIT.nano

    20 Mai
  • Helping data centers deliver higher performance with less hardware

    20 Mai
  • Working to advance the nuclear renaissance

    20 Mai
  • Evaluating the ethics of autonomous systems

    20 Mai
  • Preview tool helps makers visualize 3D-printed objects

    20 Mai
  • MIT researchers use AI to uncover atomic defects in materials

    20 Mai
  • Seeing sounds

    20 Mai
  • Seeing sounds

    20 Mai
  • MIT engineers design proteins by their motion, not just their shape

    20 Mai
  • AI system learns to keep warehouse robot traffic running smoothly

    20 Mai
  • Augmenting citizen science with computer vision for fish monitoring

    20 Mai
  • Wristband enables wearers to control a robotic hand with their own movements

    20 Mai
  • How to create “humble” AI

    20 Mai
  • A better method for identifying overconfident large language models

    20 Mai
  • Generative AI improves a wireless vision system that sees through obstructions

    20 Mai
  • MIT-IBM Watson AI Lab seed to signal: Amplifying early-career faculty impact

    20 Mai
  • Can AI help predict which heart-failure patients will worsen within a year?

    20 Mai
  • New MIT class uses anthropology to improve chatbots

    20 Mai
  • A better method for planning complex visual tasks

    20 Mai
  • Improving AI models’ ability to explain their predictions

    20 Mai
  • A “ChatGPT for spreadsheets” helps solve difficult engineering challenges faster

    20 Mai
  • New method could increase LLM training efficiency

    20 Mai
  • Mixing generative AI with physics to create personal items that work in the real world

    20 Mai
  • AI to help researchers see the bigger picture in cell biology

    20 Mai
  • Enhancing maritime cybersecurity with technology and policy

    20 Mai
  • Parking-aware navigation system could prevent frustration and emissions

    20 Mai
  • Personalization features can make LLMs more agreeable

    20 Mai
  • Accelerating science with AI and simulations

    20 Mai
  • Using synthetic biology and AI to address global antimicrobial resistance threat

    20 Mai
  • AI algorithm enables tracking of vital white matter pathways

    20 Mai
  • 3 Questions: Using AI to help Olympic skaters land a quint

    20 Mai
  • Study: Platforms that rank the latest LLMs can be unreliable

    20 Mai
  • Helping AI agents search to get the best results out of large language models

    20 Mai
  • Brian Hedden named co-associate dean of Social and Ethical Responsibilities of Computing

    20 Mai
  • Antonio Torralba, three MIT alumni named 2025 ACM fellows

    20 Mai
  • 3 Questions: Using AI to accelerate the discovery and design of therapeutic drugs

    20 Mai
  • Katie Spivakovsky wins 2026 Churchill Scholarship

    20 Mai
  • SMART launches new Wearable Imaging for Transforming Elderly Care research group

    20 Mai
  • SMART launches new Wearable Imaging for Transforming Elderly Care research group

    20 Mai
  • How generative AI can help scientists synthesize complex materials

    20 Mai
  • The philosophical puzzle of rational artificial intelligence

    20 Mai
  • Why it’s critical to move beyond overly aggregated machine-learning metrics

    20 Mai
  • At MIT, a continued commitment to understanding intelligence

    20 Mai
  • Generative AI tool helps 3D print personal items that sustain daily use

    20 Mai
  • 3 Questions: How AI could optimize the power grid

    20 Mai
  • Decoding the Arctic to predict winter weather

    20 Mai
  • MIT scientists investigate memorization risk in the age of clinical AI

    20 Mai
  • MIT in the media: 2025 in review

    20 Mai
  • Guided learning lets “untrainable” neural networks realize their potential

    20 Mai
  • A new way to increase the capabilities of large language models

    20 Mai
  • 3 Questions: Using computation to study the world’s best single-celled chemists

    20 Mai
  • Working to eliminate barriers to adopting nuclear energy

    20 Mai
  • Deep-learning model predicts how fruit flies form, cell by cell

    20 Mai
  • Enabling small language models to solve complex reasoning tasks

    20 Mai
  • New MIT program to train military leaders for the AI age

    20 Mai
  • New method improves the reliability of statistical estimations

    20 Mai
  • New materials could boost the energy efficiency of microelectronics

    20 Mai
  • MIT affiliates named 2025 Schmidt Sciences AI2050 Fellows

    20 Mai
  • MIT researchers “speak objects into existence” using AI and robotics

    20 Mai
  • Robots that spare warehouse workers the heavy lifting

    20 Mai
  • A smarter way for large language models to think about hard problems

    20 Mai
  • MIT engineers design an aerial microrobot that can fly as fast as a bumblebee

    20 Mai
  • New control system teaches soft robots the art of staying safe

    20 Mai
  • MIT Sea Grant students explore the intersection of technology and offshore aquaculture in Norway

    20 Mai
  • Researchers discover a shortcoming that makes LLMs less reliable

    20 Mai
  • MIT scientists debut a generative AI model that could create molecules addressing hard-to-treat diseases

    20 Mai
  • How artificial intelligence can help achieve a clean energy future

    20 Mai
  • New AI agent learns to use CAD to create 3D objects from sketches

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

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

    20 Mai
  • Understanding the nuances of human-like intelligence

    20 Mai
  • Charting the future of AI, from safer answers to faster thinking

    20 Mai
  • MIT researchers propose a new model for legible, modular software

    20 Mai
  • Teaching robots to map large environments

    20 Mai
  • 3 Questions: How AI is helping us monitor and support vulnerable ecosystems

    20 Mai
  • A faster problem-solving tool that guarantees feasibility

    20 Mai
  • The brain power behind sustainable AI

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

    20 Mai
  • Creating AI that matters

    20 Mai
  • New software designs eco-friendly clothing that can reassemble into new items

    20 Mai
  • Method teaches generative AI models to locate personalized objects

    20 Mai
  • Blending neuroscience, AI, and music to create mental health innovations

    20 Mai
  • Checking the quality of materials just got easier with a new AI tool

    20 Mai
  • Helping scientists run complex data analyses without writing code

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

    20 Mai

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