AiThority 2024年09月24日
Ceva and Edge Impulse Join Forces to Enable Faster, Easier Development of Edge AI Applications
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Ceva与Edge Impulse合作,使AI开发者能通过Edge Impulse平台在Ceva-NeuPro-Nano NPU IP上训练、优化和部署嵌入式ML模型,加速边缘AI应用的开发和部署。

🧠Ceva-NeuPro-Nano NPU IP是高效的边缘NPU家族,为嵌入式ML应用设计,在小面积内实现超低功耗与最佳性能的平衡,适用于多种AIoT产品类别。

💻Edge Impulse平台为客户提供‘无代码’AI工具,与NeuPro-Nano硬件完美互补,极大简化了嵌入式ML应用的部署和基准测试。

🤝Ceva与Edge Impulse的合作是首次围绕NPU IP的合作,使AI开发者能在硬件上市前,在Edge Impulse平台上准确基准测试和优化边缘AI模型性能,加速产品上市。

Partnership enables AI developers to train, optimize and deploy embedded ML models on the Ceva-NeuPro-Nano NPU IP, pre-silicon, via Edge Impulse Platform

Ceva, Inc. the leading licensor of silicon and software IP that enables Smart Edge devices to connect, sense and infer data more reliably and efficiently, and Edge Impulse, the leading platform for building, deploying, and scaling edge machine learning models, today announced a collaboration to enhance the Ceva-NeuPro-Nano NPUs with support for Edge Impulse Platform. This integration will enable AI developers to more rapidly develop, train and deploy advanced embedded ML applications for the Ceva NPUs with cycle-accurate performance, before physical hardware is available. This first-of-its-kind collaboration based around an NPU IP ensures that AI developers can accurately benchmark and refine the performance of their edge AI models in Edge Impulse Platform, significantly accelerating the time-to-market for NeuPro-Nano based silicon targeting AIoT devices.

Also Read: Data Monetization With IBM For Your Financial Benefits

The Ceva-NeuPro-Nano NPU IP for Embedded AI is a highly efficient, self-sufficient Edge NPU family designed for embedded ML applications. It delivers the optimal balance of ultra-low power and the best performance in a small area to efficiently execute embedded ML workloads across AIoT product categories, including Hearables, Wearables, Home Audio, Smart Home, Smart Factory, and more. These AIoT-optimized NPUs are ideal for Ceva’s large installed base of wireless connectivity customers and MCU vendors wishing to integrate their own AI/ML models into their product roadmaps to enhance performance, support emerging Edge AI use cases and enter new market segments. Edge Impulse Platform perfectly complements the NeuPro-Nano hardware, providing ‘no code’ AI tools to the customer, which dramatically simplifies the deployment and benchmarking of embedded ML applications.

“Ceva-NeuPro-Nano is an exciting new NPU IP core that will enable a wide range of embedded ML applications to efficiently run in small, low-power and high-performance edge devices,” said Zach Shelby, Co-founder and CEO, Edge Impulse. “Our first-of-its kind NPU IP collaboration with Ceva enables NeuPro-Nano customers to leverage Edge Impulse Platform to unlock the full potential of embedded ML in their AIoT products pre-silicon, facilitating the rapid, scalable deployment of edge AI across industries and end markets with unprecedented performance.”

“We are in the early stages of the Edge AI era, with demand for on-device AI growing across every industry and market segment,” said Chad Lucien, vice president and general manager of the Sensors and Audio Business Unit at Ceva. “To address the acute demand for low-power, small form factor and powerful AIoT devices, our customers require a solution to efficiently and cost effectively incorporate embedded ML applications into their NeuPro-Nano based products. Edge Impulse Platform together with NeuPro-Nano is a winning combination, providing AI developers with a seamless, user-friendly experience to rapidly design, develop and deploy silicon-optimized AI applications with market leading performance.”

With Edge Impulse Platform, optimized AI performance can be achieved for the NeuPro-Nano NPUs with little to no code. Models can be uploaded to or developed using Edge Impulse Platform for faster development cycles and deployment on NeuPro-Nano. Since the NeuPro-Nano self-sufficient architecture uniquely supports AI inference, feature extraction and the DSP workloads commonly used in audio, voice and vision applications, the combination with Edge Impulse Platform ensures developers get accurate cycle count emulation for the full end-to-end AI application.

Also Read: The Promises, Pitfalls & Personalization of AI in Healthcare

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Ceva Edge Impulse 边缘AI 嵌入式ML
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