An approach to machine learning inspired by the human brain is about to revolutionize street search.
Even if the cop who pulls you over doesn’t recognize you, the body camera on his chest just might in the future.
Device-maker Motorola announced Monday that would partner with artificial intelligence software startup Neurala to build “real-time learning for a person of interest search” on Motorola products such as the Si500 body camera for police, the AI firm announced in a press release today.
Italian-born neuroscientist and Neurala founder Massimiliano Versace is the creator of patent-pending image recognition and machine learning technology. It’s similar to other machine learning methods but far more scalable, so a device carried by that cop on his shoulder can learn to recognize shapes and — potentially faces — as quickly and reliably as a much larger and more powerful computer. It works by mimicking the mammalian brain, rather than the way computers have worked traditionally.
Versace’s research was funded, in part, by the Defense Advanced Research Projects Agency or DARPA under a program called SyNAPSE. In a 2010 paper for IEEE Spectrum, he describes the breakthrough. Basically, a tiny constellation of processors do the work of different parts of the brain — which is sometimes called neuromorphic computation — or “computation that can be divided up between hardware that processes like the body of a neuron and hardware that processes the way dendrites and axons do.” Versace’s research shows that AIs can learn in that environment using a lot less code.