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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.

There is no fixed formula for how to start a company and anyone who says that there is, is either a fool or lying.

We are living in a time of unprecedented progress; the cost and power consumption of vision computing will decrease by 1000X in three years.

In the early days, computers were a lot slower, and the focus was on algorithmic ways of recognizing objects.

The opening keynote at the 2017 Embedded Vision Summit in Santa Clara was by Marc Pollefeys, who is a director of science at Microsoft.

Vision will be everywhere going forward. Not just in our conference rooms, but in our cars, our baseball stadiums...maybe even the dartboard

Artificial intelligence (AI) is real. It’s no longer a mysterious concept solely associated with science fiction.