Algorithms Archives

“New Deep Learning Techniques for Embedded Systems,” a Presentation from Synopsys

Algorithms, Processors, Software, Summit 2018, Synopsys, Tools, Videos / July 25, 2018

Tom Michiels, System Architect for Embedded Vision at Synopsys, presents the “New Deep Learning Techniques for Embedded Systems” tutorial at the May 2018 Embedded Vision Summit. In the past few years, the application domain of deep learning has rapidly expanded. Constant innovation has improved the accuracy and speed of learning and inference. Many techniques are […]

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“Project Trillium: A New Suite of Machine Learning IP,” a Presentation from Arm

Algorithms, Arm, Processors, Software, Summit 2018, Tools, Videos / July 24, 2018

Steve Steele, Director of Platforms in the Machine Learning Group at Arm, presents the “Project Trillium: A New Suite of Machine Learning IP from Arm” tutorial at the May 2018 Embedded Vision Summit. Machine learning processing engines today tend to focus on specific device classes or the needs of individual sectors. Arm’s Project Trillium changes

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“Leveraging Edge and Cloud for Visual Intelligence Solutions,” a Presentation from Xilinx

Algorithms, AMD, Processors, Software, Summit 2018, Tools, Videos / July 23, 2018

Salil Raje, Senior Vice President in the Software and IP Products Group at Xilinx, presents the “Leveraging Edge and Cloud for Visual Intelligence Solutions” tutorial at the May 2018 Embedded Vision Summit. For many computer vision systems, a critical decision is whether to implement vision processing at the edge or in the cloud. In a

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“Designing Vision Front Ends for Embedded Systems,” a Presentation from Basler

Algorithms, Basler, Processors, Sensors, Software, Summit 2018, Tools, Videos / July 20, 2018

Friedrich Dierks, Director of Product Marketing and Development for the Module Business at Basler, presents the “Designing Vision Front Ends for Embedded Systems” tutorial at the May 2018 Embedded Vision Summit. This presentation guides viewers through the process of specifying and selecting a vision front end for an embedded system. It covers topics such as

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“Achieving 15 TOPS/s Equivalent Performance in Less Than 10 W Using Neural Network Pruning,” a Presentation from Xilinx

Algorithms, AMD, Processors, Software, Summit 2018, Tools, Videos / July 19, 2018

Nick Ni, Director of Product Marketing for AI and Edge Computing at Xilinx, presents the “Achieving 15 TOPS/s Equivalent Performance in Less Than 10 W Using Neural Network Pruning on Xilinx Zynq” tutorial at the May 2018 Embedded Vision Summit. Machine learning algorithms, such as convolution neural networks (CNNs), are fast becoming a critical part

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“Exploiting Reduced Precision for Machine Learning on FPGAs,” a Presentation from Xilinx

Algorithms, AMD, Processors, Software, Summit 2018, Tools, Videos / July 18, 2018

Kees Vissers, Distinguished Engineer at Xilinx, presents the “Exploiting Reduced Precision for Machine Learning on FPGAs” tutorial at the May 2018 Embedded Vision Summit. Machine learning algorithms such as convolutional neural networks have become essential for embedded vision. Their implementation using floating-point computation requires significant compute and memory resources. Research over the last two years

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“Pilot AI Vision Framework: From Doorbells to Defense,” a Presentation from Pilot AI

Algorithms, Edge AI and Vision Alliance, Processors, Software, Summit 2018, Tools, Videos / July 16, 2018

Jonathan Su, CEO of Pilot AI, presents the “Pilot AI Vision Framework: From Doorbells to Defense” tutorial at the May 2018 Embedded Vision Summit. Pilot AI’s Vision Framework has enabled real-time detection, classification and tracking in thousands of devices, from consumer applications to federal contracts. Though diverse in end-user application, these use cases all share

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“Optimizing Your System Software and BSP for Embedded Vision and AI,” a Presentation from Thundersoft

Algorithms, Processors, Software, Summit 2018, Thundersoft, Tools, Videos / July 13, 2018

Daniel Sun, Vice President of the Intelligent Vision Business Unit at Thundersoft, presents the “Optimizing Your System Software and BSP for Embedded Vision and AI” tutorial at the May 2018 Embedded Vision Summit. While computer vision and AI algorithms tend to get the most attention, many other software components can have an equally important impact

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“Deep Learning in MATLAB: From Concept to Optimized Embedded Code,” a Presentation from MathWorks

Algorithms, MathWorks, Processors, Software, Summit 2018, Tools, Videos / July 12, 2018

Avinash Nehemiah, Product Marketing Manager for Computer Vision, and Girish Venkataramani, Product Development Manager, both of MathWorks, present the “Deep Learning in MATLAB: From Concept to Optimized Embedded Code” tutorial at the May 2018 Embedded Vision Summit. In this presentation, you’ll learn how to adopt MATLAB to design deep learning based vision applications and re-target

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“Embedding Programmable DNNs in Low-Power SoCs,” a Presentation from Xperi

Algorithms, Processors, Software, Summit 2018, Tools, Videos, Xperi / July 10, 2018

Steve Teig, Chief Technology Officer at Xperi, presents the “Embedding Programmable DNNs in Low-Power SoCs” tutorial at the May 2018 Embedded Vision Summit. This talk presents the latest generation of FotoNation’s (a core business unit of Xperi) Image Processing Unit (IPU)—an embedded AI enabled image processing engine that can be customized and adapted to suit

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If you're building AI or vision-enabled products, you've come to the right place.

Algorithms

“New Deep Learning Techniques for Embedded Systems,” a Presentation from Synopsys

“Project Trillium: A New Suite of Machine Learning IP,” a Presentation from Arm

“Leveraging Edge and Cloud for Visual Intelligence Solutions,” a Presentation from Xilinx

“Designing Vision Front Ends for Embedded Systems,” a Presentation from Basler

“Achieving 15 TOPS/s Equivalent Performance in Less Than 10 W Using Neural Network Pruning,” a Presentation from Xilinx

“Exploiting Reduced Precision for Machine Learning on FPGAs,” a Presentation from Xilinx

“Pilot AI Vision Framework: From Doorbells to Defense,” a Presentation from Pilot AI

“Optimizing Your System Software and BSP for Embedded Vision and AI,” a Presentation from Thundersoft

“Deep Learning in MATLAB: From Concept to Optimized Embedded Code,” a Presentation from MathWorks

“Embedding Programmable DNNs in Low-Power SoCs,” a Presentation from Xperi

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