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  • 辽宁快乐12基本走势图:AI & Machine Learning

    Artificial Intelligence and Machine Learning

    Machine learning - ★十一选五走势辽宁★ 十一选五走势辽宁 www.ubte.net

    Artificial intelligence (AI) and machine learning (ML) requires an inseparable combination of processing power and software.

    The shift of high-performance processing from the cloud to the edge significantly decreases bandwidth requirements, reduces latency, and maintains privacy. These are the key factors for automotive, industrial, and an infinite range of Internet of Things (IoT) applications.

    AI opens entirely new opportunities for the automotive industry to help solve global mobility challenges. Working in close collaboration with leading academic institutions, research organizations and pioneering technology firms – NXP is at the forefront in the development of automotive AI solutions.

    Scale with our broad IC portfolio ranging from MCUs to application and networking processors.

    Beginning with an optimized portfolio of ICs that range from MCUs to application and networking processors, customers can select the exact device for their Machine Learning applications. NXP provides the processing performance that scales to support a three-axis trade-off between accuracy, inference time (user experience), and cost.

    With a comprehensive support tool designed to work with our processing platforms, NXP helps customers easily implement Machine Learning across the landscape of automotive, industrial, and IoT applications.

    Scale with our broad IC portfolio ranging from MCUs to application and networking processors image

    Our AI core technologies enable AI and machine learning for automotive, industrial, and IoT applications.

    NXPs AI and ML automotive solutions add more intelligence to the “sensing”, “thinking”, and “acting” processes of automated cars to help solve global mobility challenges toward zero road fatalities, zero emissions, and zero time wasted.

    For IoT, Industrial, and beyond, NXPs eIQ Artificial Intelligence Development Environment provides the essential building blocks that developers require to deploy machine learning in their devices.

    What's New

    Blog

    A Safety-First Approach to Central Computing

    NXP and Kalray co-develop a central computing platform with safety as a foundation.

    White Paper

    Artificial Intelligence of Things

    In this whitepaper, NXP examines how the shift of high-performance processing from the cloud to the edge of networks has enabled the Internet of Things (IoT) to thrive, and how this paradigm shift has laid the foundations for AI to unfold its true potential.

    Video

    Machine Learning and Facial Recognition with Edge Computing

    Watch a deep dive into how NXP processing capabilities are enabling more efficient inferencing and facial recognition at the IoT using Edge Computing.

  • 儿童家具质量抽检三成不合格 家长选购需注意 2019-03-19
  • 海淀区发布《海淀区文化创意产业投资引导基金实施办法》 2019-03-10
  • “加名字”的核证逻辑 2019-03-10
  • 联合国秘书长呼吁防治艾滋病不懈怠 2019-03-07
  • 戴森Cyclone V10无绳吸尘器发布 售价4490元起 2019-03-07
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