AI Material Adapts and Learns from Changing Conditions

AI material that adapts and learns from changing conditions
Like a pianist that learns their instrument by ear without ever looking at the keyboard or a basketballer who spends countless hours perfecting a seemingly effortless shot, UCLA engineers have developed a class of materials that can learn over time, and develop \”muscle memory\”, allowing real-time adaptations to changing external forces.

The material is made of a structural structure consisting of tunable beams which can change their shape and behavior in response to dynamic situations. The findings of the research, which have applications in building construction, aircraft and imaging technology among other things, were published in Science Robotics on Wednesday.

The research was led by Professor Jonathan Hopkins, Mechanical and Aerospace Engineering at the UCLA Samueli School of Engineering. The same principles used in machine-learning are used to give the material its adaptive and smart properties.