Building reuse into the materials around us
At MIT, metallurgist Diran Apelian ScD ’73 urges engineers and researchers to rethink design, recycling, and the life cycle of modern materials.
At MIT, metallurgist Diran Apelian ScD ’73 urges engineers and researchers to rethink design, recycling, and the life cycle of modern materials.
An AI-driven system lets users design and build simple, multicomponent objects by describing them with words.
The project was designed and built with novel “bio-composite” materials developed by the student team.
The speech-to-reality system combines 3D generative AI and robotic assembly to create objects on demand.
Wedge-shaped vortex generators reduce drag in ship hulls, which could advance decarbonization for the shipping industry.
A new MIT course explores how built environments can both emerge from and reveal the internal dynamics of their geographic context.
The virtual VideoCAD tool could boost designers’ productivity and help train engineers learning computer-aided design.
The new approach maps aircraft sections most vulnerable to lightning, including on planes with experimental designs.
Researchers find that design elements of data visualizations influence viewers’ assumptions about the source of the information and its trustworthiness.
To reduce waste, the Refashion program helps users create outlines for adaptable clothing, such as pants that can be reconfigured into a dress. Each component of these pieces can be replaced, rearranged, or restyled.
A lantern created in the Design Intelligence Lab creates sustainable alternatives for consumer electronics.
Founder Gregory B. Olson reflects on past and continuing high-impact work as the group turns 40.
Building on Day of AI and Day of Climate, MIT shares free design resources to spark creativity and problem-solving in classrooms.
The FabObscura system helps users design and print barrier-grid animations without electronics, and can help produce dynamic household, workplace, and artistic objects.
Popular mechanical engineering course applies machine learning and AI theory to real-world engineering design.