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#School of Engineering

  • Solving the solvent problem

    21 Sep
  • Alexander Rakhlin named director of the MIT Statistics and Data Science Center

    21 Sep
  • Daniela Rus receives Bavarian Minister-President’s High-Tech Prize

    21 Sep
  • Connecting research to policy on Capitol Hill

    21 Sep
  • How a medical database developed at MIT evolved into a global standard of data-sharing

    21 Sep
  • Working to automate nuclear plant operations

    21 Sep
  • Working to automate nuclear plant operations

    21 Sep
  • MIT projects selected for funding under US Department of Energy’s Genesis Mission

    21 Sep
  • Professor Emeritus Dimitri Bertsekas, influential computer scientist and prolific author, dies at 83

    21 Sep
  • Following the questions where they lead

    21 Sep
  • A better way to turn 2D designs into 3D models for rapid prototyping

    21 Sep
  • Helping AI models to meet the real world

    21 Sep
  • Helping AI models to meet the real world

    21 Sep
  • Can AI build a jet engine? JARVIS Challenge tests role of AI copilots in tough-tech engineering

    21 Sep
  • AI agents create virtual playgrounds to help robots get crucial training data

    21 Sep
  • New method aims to keep kids safe from illegal AI-generated content

    21 Sep
  • Tiny robot boats build floating structures

    21 Sep
  • Toward a future that preserves benefits of neurotechnology for all

    21 Sep
  • Q&A: What is agentic AI today, and what do we want it to be?

    21 Sep
  • Inaugural Music Technology Research Showcase celebrates work of new graduate program’s initial students

    21 Sep
  • LLMs help robots understand vague instructions and focus on key details

    21 Sep
  • MIT in the media: Exploring how curiosity-driven science is an essential ingredient in America’s success

    21 Sep
  • Improving the speed and energy-efficiency of AI agents

    21 Sep
  • Exploring the societal impacts of AI

    21 Sep
  • New chip could help tiny robots traverse complex environments

    21 Sep
  • A better way to model the behavior of metal alloys

    21 Sep
  • In game theory, generalists sometimes win out over specialists

    21 Sep
  • Could AI tell you where you left your keys?

    21 Sep
  • MIT’s Initiative for New Manufacturing builds momentum

    21 Sep
  • When it comes to predicting people’s preferences, it pays to consider “the power of three”

    21 Sep
  • MIT affiliates win 2026 Hertz Foundation Fellowships

    21 Sep
  • Startup’s nuclear-inspired cooling system could make data centers more sustainable

    21 Sep
  • The crucial human component in computing and AI

    21 Sep
  • NSF renews support for MIT-led AI and physics institute, expanding a new model for discovery

    21 Sep
  • Teaching AI agents to ask better questions by playing “Battleship”

    21 Sep
  • MIT researchers teach AI models to interpret charts

    21 Sep
  • Building AI models that understand chemical principles

    21 Sep
  • Justin Solomon appointed associate dean of engineering education

    21 Sep
  • Two from MIT named 2026 Knight-Hennessy Scholars

    21 Sep
  • Games people — and machines — play: Untangling strategic reasoning to advance AI

    21 Sep
  • Beacon Biosignals is mapping the brain during sleep

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

    21 Sep
  • Enabling privacy-preserving AI training on everyday devices

    21 Sep
  • A faster way to estimate AI power consumption

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

    21 Sep
  • Teaching AI models to say “I’m not sure”

    21 Sep
  • Jacob Andreas and Brett McGuire named Edgerton Award winners

    21 Sep
  • Bringing AI-driven protein-design tools to biologists everywhere

    21 Sep
  • Q&A: MIT SHASS and the future of education in the age of AI

    21 Sep
  • Human-machine teaming dives underwater

    21 Sep
  • New technique makes AI models leaner and faster while they’re still learning

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

    21 Sep
  • Helping data centers deliver higher performance with less hardware

    21 Sep
  • Working to advance the nuclear renaissance

    21 Sep
  • Evaluating the ethics of autonomous systems

    21 Sep
  • Preview tool helps makers visualize 3D-printed objects

    21 Sep
  • MIT researchers use AI to uncover atomic defects in materials

    21 Sep
  • Seeing sounds

    21 Sep
  • Seeing sounds

    21 Sep
  • MIT engineers design proteins by their motion, not just their shape

    21 Sep
  • AI system learns to keep warehouse robot traffic running smoothly

    21 Sep
  • Augmenting citizen science with computer vision for fish monitoring

    21 Sep
  • Wristband enables wearers to control a robotic hand with their own movements

    21 Sep
  • How to create “humble” AI

    21 Sep
  • A better method for identifying overconfident large language models

    21 Sep
  • Generative AI improves a wireless vision system that sees through obstructions

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

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

    21 Sep
  • New MIT class uses anthropology to improve chatbots

    21 Sep
  • A better method for planning complex visual tasks

    21 Sep
  • Improving AI models’ ability to explain their predictions

    21 Sep
  • A “ChatGPT for spreadsheets” helps solve difficult engineering challenges faster

    21 Sep
  • New method could increase LLM training efficiency

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

    21 Sep
  • AI to help researchers see the bigger picture in cell biology

    21 Sep
  • Enhancing maritime cybersecurity with technology and policy

    21 Sep
  • Parking-aware navigation system could prevent frustration and emissions

    21 Sep
  • Personalization features can make LLMs more agreeable

    21 Sep
  • Accelerating science with AI and simulations

    21 Sep
  • Using synthetic biology and AI to address global antimicrobial resistance threat

    21 Sep
  • AI algorithm enables tracking of vital white matter pathways

    21 Sep
  • 3 Questions: Using AI to help Olympic skaters land a quint

    21 Sep
  • Study: Platforms that rank the latest LLMs can be unreliable

    21 Sep
  • Helping AI agents search to get the best results out of large language models

    21 Sep
  • Brian Hedden named co-associate dean of Social and Ethical Responsibilities of Computing

    21 Sep
  • Antonio Torralba, three MIT alumni named 2025 ACM fellows

    21 Sep
  • 3 Questions: Using AI to accelerate the discovery and design of therapeutic drugs

    21 Sep
  • Katie Spivakovsky wins 2026 Churchill Scholarship

    21 Sep
  • SMART launches new Wearable Imaging for Transforming Elderly Care research group

    21 Sep
  • SMART launches new Wearable Imaging for Transforming Elderly Care research group

    21 Sep
  • How generative AI can help scientists synthesize complex materials

    21 Sep
  • The philosophical puzzle of rational artificial intelligence

    21 Sep
  • Why it’s critical to move beyond overly aggregated machine-learning metrics

    21 Sep
  • At MIT, a continued commitment to understanding intelligence

    21 Sep
  • Generative AI tool helps 3D print personal items that sustain daily use

    21 Sep
  • 3 Questions: How AI could optimize the power grid

    21 Sep
  • Decoding the Arctic to predict winter weather

    21 Sep
  • MIT scientists investigate memorization risk in the age of clinical AI

    21 Sep
  • MIT in the media: 2025 in review

    21 Sep
  • Guided learning lets “untrainable” neural networks realize their potential

    21 Sep

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