Stephen Se, Senior Research Manager at FLIR Systems, presents the “Deep Learning for Manufacturing Inspection: Case Studies” tutorial at the September 2020 Embedded Vision Summit. Deep learning has revolutionized artificial intelligence and has been shown to provide the best solutions to many problems in computer vision, image classification, speech recognition and natural language processing. See […]
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
“Practical DNN Quantization Techniques and Tools,” a Presentation from Facebook Read More +
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
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
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
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.
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
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
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
“Accuracy: Beware of Red Herrings and Black Swans,” a Presentation from Perceive Read More +
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
“Recent Advances in Post-training Quantization,” a Presentation from Intel Read More +
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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