How Intelligent is Artificial Intelligence?

There is no question that the portability and omnipresence of cameras in today's society has improved driver safety -- video of a vehicle crash helps people find out specifically what went wrong. But what if you could impart artificial intelligence into those camera systems in vehicles, and predict problems on the road and prevent disaster? Netradyne's Driver-I technology uses machine learning to predict and prevent accidents in the commercial transportation industry San Diego, California-based Netradyne has developed technology designed to do just that, integrating cameras and deep learning with their Driver-i, a "vision based" system, mounted in or on commercial vehicles. Rather than merely recording events triggered by the vehicle's movements, Driver-i uses a TeraFLOP processor - one trillion calculations per second - connected to cameras to identify information such as road signs, traffic lights by color, pedestrians, other vehicles, following distance, tailgating, lane prediction and even weather to learn about driving conditions. Sandeep Pandya, president of Netradyne, said he and his colleagues envisioned a driver safety system that was one step beyond simple recording.