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Sensors and transducers fuse with AI and fog computing

机译:传感器和传感器融合了AI和雾计算

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摘要

As the interface between the physical and digital worlds, sensors and transducers have moved from a technological backwater to the forefront of automotive safety, security, healthcare, Internet of Things (IoT), and artificial intelligence (AI) enablement. As such, they have undergone revolutionary changes in terms of fundamental physical and electrical capabilities such as size, power consumption, and sensitivity, while at the same time triggering new thinking in sensor integration, ranging from sensor fusion to AI-based generation of sensor processing algorithms applied in a fog-computing-like architecture.
机译:作为物理世界和数字世界之间的接口,传感器和换能器已从技术死水转移到了汽车安全,安保,医疗保健,物联网(IoT)和人工智能(AI)支持的最前沿。因此,它们在基本物理和电气功能(例如尺寸,功耗和灵敏度)方面发生了革命性的变化,同时引发了传感器集成方面的新思维,范围从传感器融合到基于AI的传感器处理生成应用于类似雾计算的架构中的算法。

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