Processors

“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

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

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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“How to Enhance Edge AI Vision with the Katana SoC Using Multi-Modal Sensing,” a Presentation from Synaptics

Shay Kamin Braun, Director of Low-power AI Marketing at Synaptics, presents the “How to Enhance Edge AI Vision with the Katana SoC Using Multi-Modal Sensing” tutorial at the May 2022 Embedded Vision Summit. Machine learning (ML)-based vision edge AI has wide applicability across a variety of segments, including consumer electronics, home security, smart buildings, smart

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Neural Network Optimization with AIMET

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. To run neural networks efficiently at the edge on mobile, IoT, and other embedded devices, developers strive to optimize their machine learning (ML) models’ size and complexity while taking advantage of hardware acceleration for inference. For these

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“Enable Spatial Understanding for Embedded/Edge Devices with DepthAI,” a Presentation from Luxonis

Erik Kokalj, Director of Applications Engineering at Luxonis, presents the “Enable Spatial Understanding for Embedded/Edge Devices with DepthAI” tutorial at the May 2022 Embedded Vision Summit. Many systems need to understand not only what objects are nearby, but also where those objects are in the physical world. This is “spatial AI”. In this talk, Kokalj

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BrainChip Partners with Prophesee Optimizing Computer Vision AI Performance and Efficiency

Laguna Hills, Calif. – June 14, 2022 – BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of neuromorphic AI IP, and Prophesee, the inventor of the world’s most advanced neuromorphic vision systems, today announced a technology partnership that delivers next-generation platforms for OEMs looking to integrate event-based vision systems

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“Accelerate Tomorrow’s Models with Lattice FPGAs,” a Presentation from Lattice Semiconductor

Hussein Osman, Segment Marketing Director at Lattice Semiconductor, presents the “Accelerate Tomorrow’s Models with Lattice FPGAs” tutorial at the May 2022 Embedded Vision Summit. Deep learning models are advancing at a dizzying pace, creating difficult dilemmas for system developers. When you begin developing an edge AI system, you select the best available model for your

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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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Address

Berkeley Design Technology, Inc.
PO Box #4446
Walnut Creek, CA 94596

Phone
Phone: +1 (925) 954-1411
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