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“Parallelizing Machine Learning Applications in the Cloud with Kubernetes: A Case Study,” a Presentation from AMD

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Rajy Meeyakhan Rawther, PMTS Software Architect in the Machine Learning Software Engineering group at AMD, presents the “Parallelizing Machine Learning Applications in the Cloud with Kubernetes: A Case Study” tutorial at the September 2020 Embedded Vision Summit. In this talk, Rawther presents techniques for obtaining the best inference performance when deploying machine learning applications in […]

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“Democratizing Computer Vision and Machine Learning with Open, Royalty-Free Standards: OpenVX,” a Presentation from AMD

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Kiriti Nagesh Gowda, staff engineer in the Machine Learning and Computer Vision Group at AMD and chair of the Khronos OpenVX working group, presents the “Democratizing Computer Vision and Machine Learning with Open, Royalty-Free Standards: OpenVX” tutorial at the September 2020 Embedded Vision Summit. OpenVX is a mature computer vision and machine learning API standard

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September 2020 Embedded Vision Summit Opening Remarks (September 24)

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Jeff Bier, Founder of the Edge AI and Vision Alliance, welcomes attendees to the September 2020 Embedded Vision Summit on September 24, 2020. Bier provides an overview of the edge AI and vision market opportunities, challenges, solutions and trends. He also introduces the Edge AI and Vision Alliance and the resources it offers for both

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September 2020 Embedded Vision Summit Opening Remarks (September 22)

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Jeff Bier, Founder of the Edge AI and Vision Alliance, welcomes attendees to the September 2020 Embedded Vision Summit on September 22, 2020. Bier provides an overview of the edge AI and vision market opportunities, challenges, solutions and trends. He also introduces the Edge AI and Vision Alliance and the resources it offers for both

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September 2020 Embedded Vision Summit Opening Remarks (September 17)

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Jeff Bier, Founder of the Edge AI and Vision Alliance, welcomes attendees to the September 2020 Embedded Vision Summit on September 17, 2020. Bier provides an overview of the edge AI and vision market opportunities, challenges, solutions and trends. He also introduces the Edge AI and Vision Alliance and the resources it offers for both

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September 2020 Embedded Vision Summit Opening Remarks (September 15)

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Jeff Bier, Founder of the Edge AI and Vision Alliance, welcomes attendees to the September 2020 Embedded Vision Summit on September 15, 2020. Bier provides an overview of the edge AI and vision market opportunities, challenges, solutions and trends. He also introduces the Edge AI and Vision Alliance and the resources it offers for both

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“Trends in Neural Network Topologies for Vision at the Edge,” a Presentation from Synopsys

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Pierre Paulin, Director of R&D for Embedded Vision at Synopsys, presents the “Trends in Neural Network Topologies for Vision at the Edge” tutorial at the September 2020 Embedded Vision Summit. The widespread adoption of deep neural networks (DNNs) in embedded vision applications has increased the importance of creating DNN topologies that maximize accuracy while minimizing

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“Accuracy: Beware of Red Herrings and Black Swans,” a Presentation from Perceive

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Steve Teig, CEO of Perceive, presents the “Accuracy: Beware of Red Herrings and Black Swans” tutorial at the September 2020 Embedded Vision Summit. Machine learning aims to construct models that are predictive: accurate even on data not used during training. But how should we assess accuracy? (Hint: simply computing the average error on a pre-determined

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Towards Dent Measurement by Drone

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This blog post was originally published at Donecle’s website on behalf of 8tree. It is reprinted here with the permission of Donecle and 8tree. Can you measure dents? This is a question which our customers and prospects ask on a regular basis. Dent damage is a chronic and recurring problem on aircraft, due to loading

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“Recent Advances in Post-training Quantization,” a Presentation from Intel

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Alexander Kozlov, Deep Learning R&D Engineer at Intel, presents the “Recent Advances in Post-training Quantization” tutorial at the September 2020 Embedded Vision Summit. The use of low-precision arithmetic (8-bit and smaller data types) is key for the deployment of deep neural network inference with high performance, low cost and low power consumption. Shifting to low-precision

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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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