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GTC ON-DEMAND

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Abstract:

How can we enable automated AI/ Deep learning based machines to evolve their specialties through colonies of "social networks of intelligent machines" (SNIM)? We will give an example of Qylur's QyNetTM machines cloud concept and how we utilize the power of SNIMs, GPU enabled deep learning and execution at edge systems, to enable a revolution in our guest entry operations and physical security for public venues. From mega events to parks and museums. We will also dream a bit further to how other industrial intelligent machines can benefit from the QyNet SNIM, and also touch on our responsibilities as humans as we enable this disruptive and beneficial revolution to take place.

How can we enable automated AI/ Deep learning based machines to evolve their specialties through colonies of "social networks of intelligent machines" (SNIM)? We will give an example of Qylur's QyNetTM machines cloud concept and how we utilize the power of SNIMs, GPU enabled deep learning and execution at edge systems, to enable a revolution in our guest entry operations and physical security for public venues. From mega events to parks and museums. We will also dream a bit further to how other industrial intelligent machines can benefit from the QyNet SNIM, and also touch on our responsibilities as humans as we enable this disruptive and beneficial revolution to take place.

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Topics:
Intelligent Video Analytics, Intelligent Machines, IoT & Robotics
Type:
Talk
Event:
GTC Israel
Year:
2017
Session ID:
SIL7118
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