UCLA's MNN Project Is Rapidly Advancing AI As We Know It

Steve Huff
Steve Huff is an Editor and Reporter at dot.LA. Steve was previously managing editor for The Metaverse Post and before that deputy digital editor for Maxim magazine. He has written for Inside Hook, Observer and New York Mag. Steve is the author of two official tie-ins books for AMC’s hit “Breaking Bad” prequel, “Better Call Saul.” He’s also a classically-trained tenor and has performed with opera companies and orchestras all over the Eastern U.S. He lives in the greater Boston metro area with his wife, educator Dr. Dana Huff.
AI robot face
courtesy of Andria Moore

Imagine that early one morning, you receive an earthquake warning, register the alert, shrug, and go back to sleep because your building knows how to handle quakes. It's been through them before and has learned how to adjust to the experience. This may seem like a sci-fi scenario, but a team of UCLA mechanical engineers has recently created a new material that can adapt to changing circumstances through artificial intelligence.

The material, composed of a latticework of “tunable” beams that can change shape and behavior over time, was dubbed MNN for mechanical neural network. Per a report published Wednesday in Science Robotics, MNN could one day be used in a wide variety of ways, including embedding it in the construction of buildings or airplanes.

The study, authored by UCLA’s Mechanical and Aerospace Engineering department members, stated that the material could adapt and alter itself in reaction to dynamic conditions. According to lead researcher Jonathan B. Hopkins, “research introduces and demonstrates an artificial intelligent material that can learn to exhibit the desired behaviors and properties upon increased exposure to ambient conditions.”

Hopkins writes that the team taught the material how to adapt by borrowing algorithms from the artificial neural networks (ANNs) that power machine learning. MNN is made of beams that can independently adjust themselves woven together. According to the paper, this system has been enabled so it can “change its length, adapt to its changing environment in real time and interact with other beams in the system.”

A UCLA press release about the AI material stated that it is “about the size of a microwave oven,” but researchers will continue simplifying MNN by reducing it to “micro scale” in mind—meaning they are aiming at making it useful in a variety of practical ways.

According to the release, possibilities for future AI material uses—in addition to construction and aircraft engineering—include infusing a type of tactical armor with MNN to handle shockwaves. Which raises the possibility of tactical gear that can deflect the force of projectiles. That’s a sci-fi scenario as well, but one that’s slightly more intimidating than buildings that can withstand an earthquake.

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Mullen Automotive Pays Nearly $20 Million to Settle Lawsuit with Qiantu

David Shultz

David Shultz reports on clean technology and electric vehicles, among other industries, for dot.LA. His writing has appeared in The Atlantic, Outside, Nautilus and many other publications.

Mullen Automotive Pays Nearly $20 Million to Settle Lawsuit with Qiantu
Image Courtesy of Mullen Automotive

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Samson Amore

Samson Amore is a reporter for dot.LA. He holds a degree in journalism from Emerson College and previously covered technology and entertainment for TheWrap and reported on the SoCal startup scene for the Los Angeles Business Journal. Send tips or pitches to samsonamore@dot.la and find him on Twitter @Samsonamore.

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