The UCLA-developed device gets a head start. Called a “diffractive deep neural network,” it uses the light bouncing from the object itself to identify that object in as little time as it would take ...

Those bigger devices could identify many more objects at the same time or perform more complex data analysis. And the components can be made inexpensively -- the device created by the UCLA team ...

A device at the centre of an overnight security alert in Magherafelt on Saturday may have been a “viable explosive”, ...

(Nanowerk News) A team of UCLA electrical and computer engineers has created a physical artificial neural network -- a device modeled on how the human brain works -- that can analyze large volumes of ...

A device that uses a piece of glass with little bumps on it can distinguish objects based on how they scatter light, removing the need for a camera or a computer By Karmela Padavic-Callaghan ...