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BrainChip Unveils the Akida Development Environment

BrainChip, News /

The Akida Development Environment is a Complete Machine Learning Framework for the Revolutionary AkidaTM Neuromorphic System-on-Chip (NSoC) San Francisco – 25 July, 2018 – BrainChip Holdings Ltd. (“BrainChip” or the “Company”) (ASX: BRN), the leading neuromorphic computing company, today announced the availability of the AkidaTM Development Environment. The Akida Development Environment is a machine learning […]

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

Algorithms & Models, Processors, Software, Summit 2018, Synopsys, Tools, Videos /

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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EVA180x100

Embedded Vision Insights: July 24, 2018 Edition

Edge AI and Vision Alliance, Newsletters /

APIS, FRAMEWORKS, AND OTHER SOFTWARE TOOLS APIs for Accelerating Vision and Inferencing: Options and Trade-offs The landscape of SDKs, APIs and file formats for accelerating inferencing and vision applications continues to evolve rapidly. Low-level compute APIs, such as OpenCL, Vulkan and CUDA are being used to accelerate inferencing engines such as OpenVX, CoreML, NNAPI and

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

Algorithms & Models, Arm, Processors, Software, Summit 2018, Tools, Videos /

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 & Models, AMD, Processors, Software, Summit 2018, Tools, Videos /

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 & Models, Basler, Processors, Sensors and Cameras, Software, Summit 2018, Tools, Videos /

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 & Models, AMD, Processors, Software, Summit 2018, Tools, Videos /

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 & Models, AMD, Processors, Software, Summit 2018, Tools, Videos /

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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“Building Up a Start-up in Embedded Vision: Lessons from Machine Vision,” a Presentation from Basler

Basler, Industrial Vision (Computer Vision), Sensors and Cameras, Summit 2018, Videos /

Arndt Bake, Chief Marketing Officer at Basler, presents the “Building up a Start-up in Embedded Vision: Lessons from Machine Vision” tutorial at the May 2018 Embedded Vision Summit. As embedded vision becomes more capable, it is proliferating into many new markets and attracting many new start-ups. How can you gauge when the time is right

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

Algorithms & Models, Edge AI and Vision Alliance, Processors, Software, Summit 2018, Tools, Videos /

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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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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