Jeff Dean, Senior Fellow at Google, presents the "Large-Scale Deep Learning for Building Intelligent Computer Systems" keynote at the May 2016 Embedded Vision Summit. Over the past few years, Google has built two generations of large-scale computer systems for training neural networks, and then applied these systems to a wide variety of research problems that […]
Song Han, graduate student at Stanford, delivers the presentation "Techniques for Efficient Implementation of Deep Neural Networks" at the March 2016 Embedded Vision Alliance Member Meeting. Song presents recent findings on techniques for the efficient implementation of deep neural networks.
Dennis Crespo, Director of Product Marketing at Cadence, demonstrates the company's latest embedded vision technologies and products at the March 2016 Embedded Vision Alliance Member Meeting. Specifically, Crespo demonstrates a German traffic sign recognition benchmark running on the company's Tensilica Vision P5 DSP core, using a convolutional neural network algorithm and integrated in a Xilinx
Cadence Demonstrations of a German Traffic Sign Recognition Benchmark and a Smartphone Read More +
Mike Schmit, Senior Manager of Computer Vision and VR Video at AMD, demonstrates the company's latest embedded vision technologies and products at the March 2016 Embedded Vision Alliance Member Meeting. Specifically, Schmit demonstrates two examples of the company's OpenVX implementation for skin detection and Canny edge detection.
AMD Demonstration of Its OpenVX Implementation Read More +
Marcus Hammond, Robotics Lead at Kespry, delivers the presentation, "Drones at Work," at the March 2016 Embedded Vision Alliance Member Meeting. Hammond explains how his company is using autonomous drones and computer vision to provide actionable data for the mining and construction industries.
“Drones at Work,” a Presentation from Kespry Read More +
Jack Dashwood, Marketing Communications Director at Movidius, demonstrates the company's latest embedded vision technologies and products at the January 2016 Consumer Electronics Show. Specifically, Dashwood demonstrates a gesture interface algorithm implemented on the company's Myriad 2 vision processor.
Movidius Demonstration of a Gesture Interface Read More +
Jeremy Giddings, Director of Business Development at BDTI, demonstrates the company's latest embedded vision technologies and products at the March 2016 Embedded Vision Alliance Member Meeting. Specifically, Giddings demonstrates a dense optical flow relative motion measurement algorithm running on partner (and fellow Alliance member) Qualcomm's Snapdragon 820 development platform.
BDTI Demonstration of Dense Optical Flow Read More +
Jack Dashwood, Marketing Communications Director at Movidius, demonstrates the company's latest embedded vision technologies and products at the January 2016 Consumer Electronics Show. Specifically, Dashwood demonstrates a deep learning-based object tracking algorithm developed by partner company Neurala and implemented on the company's Myriad 2 vision processor.
Movidius Demonstration of a Deep Learning Object Tracking Algorithm Read More +
Laszlo Kishonti, CEO and Founder of AdasWorks, demonstrates the company's latest embedded vision technologies and products at the March 2016 Embedded Vision Alliance Member Meeting. Specifically, Kishonti demonstrates real-time segmentation of surrounding vehicles, pedestrians and other objects using the company's ADAS software, which runs on DSPs, FPGAs and GPUs.
AdasWorks Demonstration of Real-time Object Segmentation Read More +
Jack Dashwood, Marketing Communications Director at Movidius, demonstrates the company's latest embedded vision technologies and products at the January 2016 Consumer Electronics Show. Specifically, Dashwood demonstrates a depth algorithm implemented on the company's Myriad 2 vision processor.
Movidius Demonstration of a Depth Algorithm Read More +
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