Tools


	"PyTorch Deep Learning Framework: Status and Directions," a Presentation from Facebook Joseph Spisak of Facebook delivers a presentation at the December 2019 Vision Industry and Technology Forum.
	"Current and Planned Standards for Computer Vision and Machine Learning," a Presentation from the Khronos Group Neil Trevett of the Khronos Group delivers a presentation at the December 2019 Vision Industry and Technology Forum.
	"Edge/Cloud Tradeoffs and Scaling a Consumer Computer Vision Product," a Presentation from Cocoon Health Pavan Kumar of Cocoon Health (formerly Cocoon Cam) delivers a presentation at the September 2019 Vision Industry and Technology Forum.
	"Creating, Weaponizing, and Detecting Deep Fakes," a Presentation from U.C. Berkeley Shruti Agarwal of U.C. Berkeley delivers a presentation at the September 2019 Vision Industry and Technology Forum.
	"Quantizing Deep Networks for Efficient Inference at the Edge," a Presentation from Facebook Raghuraman Krishnamoorthi of Facebook delivers a presentation at the September 2019 Vision Industry and Technology Forum.
	"Embedded Vision Applications Lead Way for Processors in AI: A Market Analysis of Vision Processors," a Presentation from IHS Markit Tom Hackenberg of IHS Markit delivers a Business Insights presentation at the May 2019 Embedded Vision Summit.
	"How to Choose a 3D Vision Sensor," a Presentation from Capable Robot Components Chris Osterwood of Capable Robot Components delivers a Fundamentals presentation at the May 2019 Embedded Vision Summit.
	"Five+ Techniques for Efficient Implementation of Neural Networks," a Presentation from Synopsys Bert Moons of Synopsys delivers a Fundamentals presentation at the May 2019 Embedded Vision Summit.
	"Building Complete Embedded Vision Systems on Linux—From Camera to Display," a Presentation from Montgomery One Clay D. Montgomery of Montgomery One delivers a Fundamentals presentation at the May 2019 Embedded Vision Summit.
	Rapid Prototyping on NVIDIA Jetson Platforms with MATLAB MATLAB makes it easier to prototype and deploy to NVIDIA hardware through the NVIDIA hardware support package.

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