philip lelyveld The world of entertainment technology

15Aug/18Off

UCLA 3D PRINTS AN ARTIFICIAL “BRAIN” THAT COULD BREED NEW AUTONOMOUS VEHICLES

180802130750_1_900x600A team from the UCLA Samueli School of Engineering in Los Angeles, California, have applied 3D printing to create a “seeing” device modeled on the human brain.

Appearing as a series of neatly stacked plastic plates, this device is capable of analyzing image data to identify objects such as items of clothing, and handwritten characters.

By developing technologies based on the device, the scientists could have discovered a simpler way of teaching artificially intelligent (AI) products, like autonomous vehicles and “smart assistants”, to perceive the world around them.

Each plate in the UCLA device is patterned with artificial neurons, in the shape of tiny pixels, that each diffract light in a different way.

When looking at an object, the device determines what it can see by the way light travels through the plates, and what comes out at the other side. UCLA principle investigator Aydogan Ozcan, explains, “This is intuitively like a very complex maze of glass and mirrors,”

“This work opens up fundamentally new opportunities to use an artificial intelligence-based passive device to instantaneously analyze data, images and classify objects,” adds Ozcan. “This optical artificial neural network device is intuitively modeled on how the brain processes information,”

“It could be scaled up to enable new camera designs and unique optical components that work passively in medical technologies, robotics, security or any application where image and video data are essential.”

All-optical machine learning using diffractive deep neural networks” is published online in Science journal. It is co-authored by Xing Lin, Yair Rivenson, Nezih T. Yardimci, Muhammed Veli, Yi Luo, Mona Jarrahi and Aydogan Ozcan.

See the full story here: https://3dprintingindustry.com/news/ulca-3d-prints-an-artificial-brain-that-could-breed-new-autonomous-vehicles-137469/

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