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High-performance computing platforms have been moving toward using FPGAs in tandem with CPUs to provide specialized hardware acceleration.

Every year we see amazing technology at CES, including innovations in automotive, smart robots, drones, AR/VR, and many other technologies.

Cameras provide a link between the physical and the digital worlds, and the information they gather goes well beyond that of A/D converters.

Embedded neural engines and dedicated intelligence processors are bringing artificial intelligence (AI) to the edge devices.

Cloud computing plays an important role in the proliferation of visual intelligence into new applications.

What better place to talk about technology that will transform the automotive industry?

For the foreseeable future, many applications will be best served by conventional techniques, including other forms of machine learning.

Computer vision has the potential to enable cities – and the people in them – to operate more efficiently.

I've historically been comforted by the idea of privacy through obscurity regarding surveillance video. But this situation is changing fast.

By my count there are roughly 50 companies offering processors for deep learning applications. That’s a staggering figure.