Civil and environmental engineering
Civil and environmental engineering

Civil and environmental engineering

Administration Artificial Intelligence Civil and environmental engineering Computer science and technology Data Electrical Engineering & Computer Science (eecs) Faculty IDSS Leadership machine learning MIT Schwarzman College of Computing School of Engineering Statistics

Celebrating the impact of IDSS

A two-day conference at MIT reflected on the impact of the Institute for Data, Systems, and Society since its launch, as founding Director Munther Dahleh prepares to step down.

Artificial Intelligence Civil and environmental engineering computer-vision DMSE machine learning Materials science and engineering Research School of Engineering

Deep-learning system explores materials’ interiors from the outside

A new method could provide detailed information about internal structures, voids, and cracks, based solely on data about exterior conditions.

Algorithms Artificial Intelligence Bioinspiration Civil and environmental engineering Computer science and technology Department of Energy (DoE) machine learning Materials science and engineering MIT Schwarzman College of Computing MIT-IBM Watson AI Lab National Institutes of Health (NIH) Proteins Research School of Engineering

AI system can generate novel proteins that meet structural design targets

These tunable proteins could be used to create new materials with specific mechanical properties, like toughness or flexibility.

Agriculture Artificial Intelligence Carbon dioxide Civil and environmental engineering Climate Climate change Computer science and technology Faculty Food J-WAFS Lincoln Laboratory machine learning Plants Profile Research Satellites School of Engineering sensors Water

Detailed images from space offer clearer picture of drought effects on plants

J-WAFS researchers are using remote sensing observations to build high-resolution systems to monitor drought.

Algorithms Artificial Intelligence Building Civil and environmental engineering Computer science and technology Construction Design Energy Research School of Engineering Sustainability

Integrating humans with AI in structural design

A process that seeks feedback from human specialists proves more effective at optimization than automated systems working alone.