Videos

“Practical DNN Quantization Techniques and Tools,” a Presentation from Facebook

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Raghuraman Krishnamoorthi, Software Engineer at Facebook, presents the “Practical DNN Quantization Techniques and Tools” tutorial at the September 2020 Embedded Vision Summit. Quantization is a key technique to enable the efficient deployment of deep neural networks. In this talk, Krishnamoorthi presents an overview of techniques for quantizing convolutional neural networks for inference with integer weights […]

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“Can You Patent Your AI-Based Invention?,” a Presentation from Fitch, Even, Tabin & Flannery LLP

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Thomas Lebens, Partner at Fitch, Even, Tabin & Flannery LLP, presents the “Can You Patent Your AI-Based Invention?” tutorial at the September 2020 Embedded Vision Summit. Patenting inventions is one way to capitalize on the hard work and creativity that drives an innovative product, but recent cases have made things difficult for innovators whose inventions

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“Practical Image Data Augmentation Methods for Training Deep Learning Object Detection Models,” a Presentation from EJ Technology Consultants

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Evan Juras, Computer Vision Engineer at EJ Technology Consultants, presents the “Practical Image Data Augmentation Methods for Training Deep Learning Object Detection Models” tutorial at the September 2020 Embedded Vision Summit. Data augmentation is a method of expanding deep learning training datasets by making various automated modifications to existing images in the dataset. The resulting

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“Video Activity Recognition with Limited Data for Smart Home Applications,” a Presentation from Comcast

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Hongcheng Wang, Director of Technical Research at Comcast, presents the “Video Activity Recognition with Limited Data for Smart Home Applications” tutorial at the September 2020 Embedded Vision Summit. Comcast’s Xfinity Home connects millions of home smart cameras and IoT devices to improve its customers’ safety and security. The company’s teams use computer vision and deep

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“Deploying AI Software to Embedded Devices Using Open Standards,” a Presentation from Codeplay Software

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Andrew Richards, Co-founder and CEO of Codeplay Software, presents the “Deploying AI Software to Embedded Devices Using Open Standards” tutorial at the September 2020 Embedded Vision Summit. AI software developers need to deploy diverse classes of algorithms in embedded devices, including deep learning, machine vision and sensor fusion. Adapting these algorithms to run efficiently on

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“Combining CNNs and Conventional Algorithms for Low-Compute Vision: A Case Study in the Garage,” a Presentation from the Chamberlain Group

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Nathan Kopp, Principal Software Architect for Video Systems at the Chamberlain Group, presents the “Combining CNNs and Conventional Algorithms for Low-Compute Vision: A Case Study in the Garage” tutorial at the September 2020 Embedded Vision Summit. Chamberlain Group (CGI) is a global leader in access control solutions with its Chamberlain and LiftMaster garage door opener

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“Structures as Sensors: Smaller-Data Learning in the Physical World,” a Presentation from Carnegie Mellon University

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Pei Zhang, Associate Research Professor at Carnegie Mellon University, presents the “Structures as Sensors: Smaller-Data Learning in the Physical World” tutorial at the September 2020 Embedded Vision Summit. Machine learning has become a useful tool for many data-rich problems. However, its use in cyber-physical systems has been limited because of its need for large amounts

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“Joint Regularization of Activations and Weights for Efficient Neural Network Pruning,” a Presentation from Black Sesame Technologies

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Zuoguan Wang, Senior Algorithm Manager at Black Sesame Technologies, presents the “Joint Regularization of Activations and Weights for Efficient Neural Network Pruning” tutorial at the September 2020 Embedded Vision Summit. With the rapid increase in the sizes of deep neural networks (DNNs), there has been extensive research on network model compression to improve deployment efficiency.

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“Key Trends and Challenges in Practical Visual AI and Computer Vision,” a Presentation from the Edge AI and Vision Alliance

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Jeff Bier, Founder of the Edge AI and Vision Alliance and President of BDTI, presents the “Key Trends and Challenges in Practical Visual AI and Computer Vision” tutorial at the September 2020 Embedded Vision Summit. With visual AI and computer vision technologies advancing faster than ever, it can be difficult to see the big picture.

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“Machine Learning for the Real World: What is Acceptable Accuracy, and How Can You Achieve It?,” a Presentation from Arm

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Tim Hartley, Director of Product and Marketing at Arm, presents the “Machine Learning for the Real World: What is Acceptable Accuracy, and How Can You Achieve It?” tutorial at the September 2020 Embedded Vision Summit. The benefits of running machine learning at the edge are widely accepted, and today’s low-power edge devices are already showing

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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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