Deep-pocket companies begin customizing this approach for specific applications—and spend huge amounts of money to acquire startups.

Neural networking with advanced parallel processing is beginning to take root in a number of markets ranging from predicting earthquakes and hurricanes to parsing MRI image datasets in order to identify and classify tumors.

As this approach gets implemented in more places, it is being customized and parsed in ways that many experts never envisioned. And it is driving new research into how else these kinds of compute architectures can be applied.

Arnold Smeulders and Theo Gevers, the general chairs of ECCV 2016, told Semiconductor Engineering that many of the attendees of ECCV do work in the area of semiconductor technologies (as opposed to software that runs on silicon) that enable computer vision.

Read the whole article by Gale More on October 6th, 2016 in Semiconductor Engineering here.