How deep learning is enabling computer vision markets

In a presentation from the May 2016 Embedded Vision Summit, Bruce Daley, Principal Analyst at Tractica, discusses the market factors, technology issues, use cases, and industry ecosystem that are developing around the use of deep learning for computer vision.

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Deep learning has emerged as one of the key enabling technologies in artificial intelligence, and is beginning to be applied to a variety of industries, ranging from healthcare to manufacturing to automotive, among others. As an enabling tool for automating and accelerating the analysis of large data sets generated by various sensors and other connected devices, deep learning algorithms will find a home in a multitude of business and research applications.

In a presentation from the May 2016 Embedded Vision Summit, Bruce Daley, Principal Analyst at Tractica, discusses the market factors, technology issues, use cases, and industry ecosystem that are developing around the use of deep learning for computer vision. The presentation also covers Tractica’s ongoing research and analysis, and provides strategic insights and detailed quantification of the market opportunity in this burgeoning space.

Check out the full presentation here:

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