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  • Product

    Capabilities

    • The edge AI platform
    • Sensor datasets
    • Feature engineering
    • Model optimatization
    • Algorithms
    • Computer Vision
    • NVIDIA Integrations
    • Qualcomm Integrations

    Built for

    • Product leaders
    • AI practicioners
    • Embedded engineers
    • OEMs
  • Solutions

    Industries

    • Appliances
    • Health
    • Infrastructure
    • Buildings
    • Industry
    • Wearables

    Applications

    • Case studies
    • Computer Vision
    • Asset tracking & monitoring
    • Human interfaces
    • Predictive maintenance

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    • The Ultimate Guide to Edge AI ebook
    • BrickML
    • Industrial Productivity Solutions Guide
    • AI at the Edge eBook
  • Developers
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Machine Learning Artificial Intelligence Computer Vision TinyML Embedded Devices Ethical ML
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From the Cloud to the Edge: Docker Deployments are now Available
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From the Cloud to the Edge: Docker Deployments are now Available

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No Scalpel Left Behind: Tracking Surgical Tools with AI and Synthetic Data from NVIDIA Omniverse

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Watch: ML on the Edge Ep.5 — Amini's Kate Kallot   on Deploying ML on Satellites over Africa
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By Mike Senese Feb 12, 2024
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edge ai

Eyes on the Road: Enabling Real-Time Traffic Camera Analysis with BrainChip Akida

By Nick Bild Jan 30, 2024
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