Deep-learning model predicts how fruit flies form, cell by cell
The approach could apply to more complex tissues and organs, helping researchers to identify early signs of disease.
The approach could apply to more complex tissues and organs, helping researchers to identify early signs of disease.
Aurelia Institute, founded by a team from MIT, serves as a research lab, an education and outreach center, and a policy hub for the space industry.
MIT MAD has established new professorships and appointed three MIT faculty to advance design education across disciplines.
The system uses reconfigurable electromechanical building blocks to create structural electronics.
MIT engineers developed a way to grow artificial tissues that look and act like their natural counterparts.
Developed by the Self-Assembly Lab, the 4D Knit Dress uses several technologies to create a custom design and a custom fit, while addressing sustainability concerns.
Mathias Kolle’s color-changing materials take inspiration from butterflies and mollusks.
A new computational method facilitates the dense placement of objects inside a rigid container.
California blackworms tangle themselves up by the thousands, then separate in a split second. Their trick may inspire the design of self-detangling materials and fibers.
The system’s simple repeating elements can assemble into swimming forms ranging from eel-like to wing-shaped.
A new algorithm for automatic assembly of products is accurate, efficient, and generalizable to a wide range of complex real-world assemblies.
Researchers make progress toward groups of robots that could build almost anything, including buildings, vehicles, and even bigger robots.
Researchers create a method for magnetically programming materials to make cubes that are very picky about what they connect with, enabling more-scalable self-assembly.
Department of Architecture doctoral candidate Lavender Tessmer has advanced the process to produce textiles that can be individually customized.
Their swirling, clustering behavior might someday inform the design of self-assembling robotic swarms.