Multiple autonomous AI systems spontaneously collaborate to advance materials research

A joint research team from NIMS and University of Tsukuba have developed an autonomous AI network technology that allows ...
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Materials Made of Mechanical Neural Networks Can Learn to Adapt Their Physical Properties

A new type of material can learn and improve its ability to deal with unexpected forces thanks to a unique lattice structure with connections of variable stiffness, as described in a new paper by my ...
The Conversation

A new type of material called a mechanical neural network can learn and change its physical properties to create adaptable, strong structures

Ryan Lee has received funding from the Air Force Office of Science Research . The new material is a type of architected material, which gets its properties mainly from the geometry and specific traits ...