Ceva and Edge Impulse Collaborate to Enhance Computer Vision Capabilities with NVIDIA's TAO Toolkit

Ceva and Edge Impulse Unveil Enhanced Computer Vision Capabilities

Ceva, Inc. and Edge Impulse have announced a significant advancement in computer vision capabilities for embedded machine learning (ML) applications. This breakthrough comes through the integration of NVIDIA's TAO (Train, Adapt, and Optimize) toolkit with Ceva's NeuPro-Nano Neural Processing Units (NPUs) 1

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Integration of Edge Impulse Studio and NVIDIA TAO

The collaboration includes full integration of Edge Impulse Studio and support for NVIDIA TAO toolkit with Ceva-NeuPro Studio for both the NPN32 and NPN64 NPUs. This integration optimizes AI performance for the NeuPro-Nano NPUs with minimal coding requirements, offering cutting-edge AI/ML models and popular digital signal processing (DSP) blocks 2

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Benefits for Developers

The integration ensures that developers receive accurate cycle count emulation for full end-to-end AI applications. This is particularly beneficial as the NeuPro-Nano's architecture supports AI inference, feature extraction, and DSP workloads commonly used in audio, voice, and vision applications 1

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Accelerating AI Development at the Edge

Chad Lucien, Vice President and general manager of the sensor and audio business unit at Ceva, emphasized that this collaboration will accelerate the development of embedded AI applications for NeuPro-Nano. The integration leverages Edge Impulse Studio's low/no-code environment to deploy end-to-end AI applications 2

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Expanding AI Capabilities in Edge Devices

Zach Shelby, co-founder and CEO at Edge Impulse, highlighted the significance of translating AI/ML models for effective deployment on edge devices. He stated that bringing NVIDIA Tao's computer vision models to the Ceva portfolio will unlock numerous novel use cases for AIoT products requiring visual data generation and analysis across industries 1

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Availability and Future Implications

Ceva-NeuPro-Nano NPUs are now available for licensing. This collaboration is expected to simplify AI adoption at the edge, offering ease of use to customers and partners. It also marks a significant step in enabling AI developers to access, retrain, and deploy TAO models through the Edge Impulse Platform on NeuPro-Nano NPUs 2

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