School of Engineering
School of Engineering

School of Engineering

Artificial Intelligence Civil and environmental engineering Department of Defense (DoD) Graduate, postdoctoral machine learning School of Engineering Security studies and military Students

Making airfield assessments automatic, remote, and safe

U.S. Air Force engineer and PhD student Randall Pietersen is using AI and next-generation imaging technology to detect pavement damage and unexploded munitions.

Aeronautical and astronautical engineering Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical engineering and computer science (EECS) Human-computer interaction machine learning MIT Schwarzman College of Computing Research Robotics School of Engineering

Robotic helper making mistakes? Just nudge it in the right direction

New research could allow a person to correct a robot’s actions in real-time, using the kind of feedback they’d give another human.

Artificial Intelligence Chemical engineering Ethics Interview Photography School of Engineering

3 Questions: Visualizing research in the age of AI

Felice Frankel discusses the implications of generative AI when communicating science visually.

Artificial Intelligence Chemical engineering Ethics Interview Photography School of Engineering

3 Questions: Visualizing research in the age of AI

Felice Frankel discusses the implications of generative AI when communicating science visually.

Artificial Intelligence Chemical engineering Ethics Interview Photography School of Engineering

3 Questions: Visualizing research in the age of AI

Felice Frankel discusses the implications of generative AI when communicating science visually.

Artificial Intelligence Awards, honors and fellowships Civil and environmental engineering Computer modeling Education, teaching, academics Faculty K-12 education Mechanical engineering MIT Schwarzman College of Computing School of Engineering

Markus Buehler receives 2025 Washington Award

Materials scientist is honored for his academic leadership and innovative research that bridge engineering and nature.

Artificial Intelligence Cleaner industry Collaboration Computer chips Electrical engineering and computer science (EECS) Electronics Energy efficiency Industry Microsystems Technology Laboratories MIT.nano Photonics Research Research Laboratory of Electronics School of Engineering Semiconductors Silicon Sustainable computing

Collaborating to advance research and innovation on essential chips for AI

Agreement between MIT Microsystems Technology Laboratories and GlobalFoundries aims to deliver power efficiencies for data centers and ultra-low power consumption for intelligent devices at the edge.

Artificial Intelligence Bacteria Biological engineering Biology Cells Computer science and technology DNA Howard Hughes Medical Institute (HHMI) machine learning Proteins Research School of Engineering School of Science

AI system predicts protein fragments that can bind to or inhibit a target

FragFold, developed by MIT Biology researchers, is a computational method with potential for impact on biological research and therapeutic applications.

Algorithms Alumni/ae Artificial Intelligence Biological engineering Disease Faculty health Innovation and Entrepreneurship (I&E) Medicine MIT intellectual property School of Engineering Startups

MIT spinout maps the body’s metabolites to uncover the hidden drivers of disease

ReviveMed uses AI to gather large-scale data on metabolites — molecules like lipids, cholesterol, and sugar — to match patients with therapeutics.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Electrical engineering and computer science (EECS) Language machine learning MIT Schwarzman College of Computing MIT-IBM Watson AI Lab Research School of Engineering

Like human brains, large language models reason about diverse data in a general way

A new study shows LLMs represent different data types based on their underlying meaning and reason about data in their dominant language.