Intermediate


	"Methods for Creating Efficient Convolutional Neural Networks," a Presentation from Xnor.ai Mohammad Rastegari of Xnor.ai delivers a Technical Insights presentation at the May 2019 Embedded Vision Summit.
	"Beyond CNNs for Video: The Chicken vs. the Datacenter," a Presentation from Xperi Steve Teig of Xperi delivers a Technical Insights presentation at the May 2019 Embedded Vision Summit.
	"An Introduction to Machine Learning and How to Teach Machines to See," a Presentation from Tryolabs Facundo Parodi of Tryolabs delivers a Fundamentals presentation at the May 2019 Embedded Vision Summit.
	"Enabling Automated Design of Computationally Efficient Deep Neural Networks," a Presentation from UC Berkeley Bichen Wu of UC Berkeley delivers a Technical Insights presentation at the May 2019 Embedded Vision Summit.
	Speeding Up Semantic Segmentation Using MATLAB Container from NVIDIA NGC The semantic segmentation algorithm for deep learning assigns a label or category to every pixel in an image.
	Harnessing the Power of AI: An Easy Start with Lattice’s sensAI AI, is everywhere. It’s a revolutionary technology that is slowly pervading more industries than you can imagine.
	Combining an ISP and Vision Processor to Implement Computer Vision An ISP in combination with a vision processor can deliver more robust processing capabilities than vision processing can provide standalone.
	Multi-sensor Fusion for Robust Device Autonomy Combining visible light image sensors with other situational and positional awareness sensor technologies can notably bolster autonomy.
	Using Calibration to Translate Video Data to the Real World Calibration is a key step in the process of going from raw video data to metadata that can be analyzed for actionable insights.
	Using MATLAB and TensorRT on NVIDIA GPUs As we design deep learning networks, how can we quickly prototype the complete algorithm to get a sense of timing and performance on GPUs?

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Intermediate

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