Enabling Technologies

“Rethinking Deep Learning: Neural Compute Stick,” a Presentation from Intel

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Ashish Pai, Senior Director in the Neural Compute Program at Intel, presents the “Rethinking Deep Learning: Neural Compute Stick” tutorial at the May 2018 Embedded Vision Summit. In July 2017, Intel released the Movidius Neural Compute Stick (NCS)–a first-of-its-kind USB-based device for rapid prototyping and development of inference applications at the edge. NCS is powered […]

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“Achieving High-Performance Vision Processing for Embedded Applications with Qualcomm SoC Platforms,” a Presentation from Qualcomm

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Sahil Bansal, Senior Director of Product Management at Qualcomm, presents the “Achieving High-Performance Vision Processing for Embedded Applications with Qualcomm SoC Platforms” tutorial at the May 2018 Embedded Vision Summit. Advancements in machine learning are making it possible to equip devices such as connected cameras, robots, drones and smart home solutions with improved on-device vision

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“Energy-efficient Processors Enable the Era of Intelligent Devices,” a Presentation from NovuMind

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Ren Wu, Founder and CEO of NovuMind, presents the “Energy-efficient Processors Enable the Era of Intelligent Devices” tutorial at the May 2018 Embedded Vision Summit. Artificial intelligence is making waves and headlines. New algorithms, applications and companies are emerging fast. Deep-learning-based systems, trained with massive amounts of data using supercomputers, are more capable than ever

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“NovuTensor: Hardware Acceleration of Deep Convolutional Neural Networks for AI,” a Presentation from NovuMind

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Miao (Mike) Li, Vice President of IC Engineering at NovuMind, presents the “NovuTensor: Hardware Acceleration of Deep Convolutional Neural Networks for AI” tutorial at the May 2018 Embedded Vision Summit. Deep convolutional neural networks (DCNNs) are driving explosive growth of the artificial intelligence industry. Effective performance, energy efficiency and accuracy are all significant challenges in

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“The Journey and Sunrise Processors: Leading-Edge Performance for Embedded AI,” a Presentation from Horizon Robotics

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Kai Yu, Founder and CEO of Horizon Robotics, presents the “Journey and Sunrise Processors: Leading-Edge Performance for Embedded AI” tutorial at the May 2018 Embedded Vision Summit. As the nature of computation changes from logic to artificial intelligence, there’s a revolution happening at the edge. A new type of processor is required for this post-Moore’s-law

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“Deep Learning on Arm Cortex-M Microcontrollers,” a Presentation from Arm

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Vikas Chandra, Senior Principal Engineer and Director of Machine Learning at Arm, presents the “Deep Learning on Arm Cortex-M Microcontrollers” tutorial at the May 2018 Embedded Vision Summit. Deep learning algorithms are gaining popularity in IoT edge devices due to their human-level accuracy in many tasks, such as image classification and speech recognition. As a

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“Neural Network Compiler: Enabling Rapid Deployment of DNNs on Low-Cost, Low-Power Processors,” a Presentation from Cadence

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Megha Daga, Senior Technical Marketing Manager at Cadence, presents the “Neural Network Compiler: Enabling Rapid Deployment of DNNs on Low-Cost, Low-Power Processors” tutorial at the May 2018 Embedded Vision Summit. The use of deep neural networks (DNNs) has accelerated in recent years, with DNNs making their way into diverse commercial products. But DNNs consume vast

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“Enabling Software Developers to Harness FPGA Compute Accelerators,” a Presentation from Intel

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Bernhard Friebe, Senior Director of Marketing for the Programmable Solutions Group at Intel, presents the “Enabling Software Developers to Harness FPGA Compute Accelerators” tutorial at the May 2018 Embedded Vision Summit. FPGAs play a critical part in heterogeneous compute platforms as flexible, reprogrammable, multi-function accelerators. They enable custom-hardware performance with the programmability of software. The

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“Rapid Development of Efficient Vision Applications Using the Halide Language and CEVA Processors,” a Presentation from CEVA and mPerpetuo

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Yair Siegel, Director of Business Development at CEVA, and Gary Gitelson, VP of Engineering at mPerpetuo, presents the “Rapid Development of Efficient Vision Applications Using the Halide Language and CEVA Processors” tutorial at the May 2018 Embedded Vision Summit. Halide is a domain-specific programming language for imaging and vision applications that has been adopted by

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“Mythic’s Analog Deep Learning Accelerator Chip: High Performance Inference,” a Presentation from Mythic

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Frederick Soo, Head of Product Development at Mythic, presents the “Mythic’s Analog Deep Learning Accelerator Chip: High Performance Inference” tutorial at the May 2018 Embedded Vision Summit. This presentation explains how Mythic’s deep learning accelerator chip uses a unique analog circuit approach to deliver massive power, speed and scalability advantages over current generation deep learning

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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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