Processors

“Accelerate All Your Algorithms with the quadric q16 Processor,” a Presentation from Quadric

Daniel Firu, Co-founder and CPO of Quadric, presents the “Accelerate All Your Algorithms with the quadric q16 Processor,” tutorial at the May 2022 Embedded Vision Summit. As edge and embedded vision applications increasingly incorporate neural networks, developers are looking to add neural network accelerator functionality to their systems. There is just one problem: we need […]

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“Natural Intelligence Outperforms Artificial Intelligence for Autonomy and Vision,” a Presentation from Opteran Technologies

James Marshall, Chief Scientific Officer at Opteran Technologies, presents the “Natural Intelligence Outperforms Artificial Intelligence for Autonomy and Vision” tutorial at the May 2022 Embedded Vision Summit. Mainstream approaches to AI for autonomy and computer vision make use of data-, energy- and compute-intensive techniques such as deep learning, which struggle to generalize and are fragile

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World’s First AV1 Decoder Silicon IP with Support for 12-bit Pixel Size and 4:4:4 Chroma Sub-Sampling Released by Allegro DVT

Grenoble, France – June 16th 2022 – Allegro DVT, the leading provider of video processing silicon IPs and video compliance streams, has announced that its D310 AV1 Decoder silicon IP now supports 12-bit sample size and 4:4:4 chroma sub-sampling. Emerging applications such as cloud-gaming, automotive and screen mirroring will directedly benefit from these new features to provide a superior

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Detecting Safety Helmets in Real-time

This blog post was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. At Tryolabs, we are passionate about building computer vision solutions that have real-world impact. Very often, this means integrating them to run on edge devices. In our journey to master AI on the edge, we have developed

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“A Novel Packet-based Accelerator for Resource-Constrained Edge Devices,” a Presentation from Expedera

Sharad Chole, Chief Scientist and Co-founder of Expedera, presents the “Novel Packet-based Accelerator for Resource-Constrained Edge Devices” tutorial at the May 2022 Embedded Vision Summit. As AI applications move from cloud platforms into edge devices, processor designers are increasingly incorporating hardware accelerators for real-time AI processing. These accelerators must meet tight cost, bandwidth and power

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“NeuPro-M: A Highly Scalable, Heterogeneous and Secure Processor for High-performance AI/ML in Smart Edge Devices,” a Presentation from CEVA

Yair Siegel, Senior Director of Business Development at CEVA, presents the “NeuPro-M: A Highly Scalable, Heterogeneous and Secure Processor for High-performance AI/ML in Smart Edge Devices” tutorial at the May 2022 Embedded Vision Summit. AI capabilities have become an integral part of many products across a wide range of markets and applications. Increasingly, system developers

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The AI Semiconductor Market 2021

This market research report was originally published at Woodside Capital Partners’ website. It is reprinted here with the permission of Woodside Capital Partners. Woodside Capital Partners (WCP) is pleased to share our Industry Report on the AI Semiconductor Market 2021, authored by Managing Director Shusaku Sumida. This report covers the following aspects of the Semiconductor

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Free Webinar Explores How to Use Edge Impulse’s FOMO Algorithm on Resource-constrained Microcontrollers

On August 30, 2022 at 9 am PT (noon ET), Jenny Plunkett, Senior Developer Relations Engineer at Edge Impulse, and Armaghan Ebrahimi, Partner Solutions Engineer at Sony Electronics Professional Solutions Americas, will present the free hour webinar “Edge Impulse’s FOMO Technology and Sony’s Computer Vision Platform: A Compelling Combination,” organized by the Edge AI and

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EdgeCortix Collaborates with Renesas to Deliver Enhanced Feature-Rich Compiler for the Renesas DRP-AI AI-Accelerator

TOKYO, July 12, 2022 /PRNewswire/ — EdgeCortix® Inc., an innovative fabless semiconductor design company with a software first approach, focused on delivering class-leading compute efficiency and latency for edge artificial intelligence (AI) inference, announced today a collaboration with Renesas Electronics Corporation (Renesas). Through this collaboration, EdgeCortix has taken its industry leading heterogeneous platform-based compiler framework

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How Neural Architectures Leverage Duty Cycling for Massive Efficiencies

This blog post was originally published at Syntiant’s website. It is reprinted here with the permission of Syntiant. In our last blog post, we gave insight for modelers into the vital performance statistics of edge silicon. In this blog post, we will show how modelers can leverage the true power and throughput performance of edge

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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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