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Deep Learning is a branch of machine learning that uses artificial neural networks to analyze patterns and data to improve safety and efficiency in hospitals, factories, retail locations and other public venues.

Deep Learning is a branch of machine learning that uses artificial neural networks to analyze patterns and data to improve safety and efficiency in hospitals, factories, retail locations and other public venues.

Everett Berry is a Co-founder and Chief Technology Officer of Perceive Inc., as well as Principle Investigator on Perceive's Small Business Innovation Research grant from the National Science Foundation. He has co-authored four papers in the area of multimedia systems, focusing on the design of systems for large-scale, distributed video analysis. Previously, Everett has worked at Qualcomm, Hewlett Packard, and as a research assistant at Purdue University. He received a Bachelor’s of Science in Computer Engineering from Purdue in May 2016.

Kyle McNulty is a Co-founder and Chief Executive Officer of Perceive Inc., a Purdue-based startup that helps retailers measure and understand more about their in-store shoppers. Kyle holds a B.S. in Electrical Engineering from Purdue University and has co-authored three papers in the areas of multimedia systems, focusing on applications for large-scale, distributed video analysis. Previously, Kyle has worked at Garmin and as a research assistant at Purdue University. Outside of academia, McNulty has spent four years working with a Purdue team on the development of a Kindle-like device for people who are blind.

This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx

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