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ENTITY industrial internet of things

industrial internet of things

PulseAugur coverage of industrial internet of things — every cluster mentioning industrial internet of things across labs, papers, and developer communities, ranked by signal.

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RECENT · PAGE 1/1 · 6 TOTAL
  1. TOOL · CL_162578 ·

    Time series databases boost real-time sensor data for robotics and automation

    Time series databases are enhancing the real-time processing of sensor data for robotics and industrial automation applications. Addressing integration challenges between operational technology (OT) and information tech…

  2. TOOL · CL_121088 ·

    AI intrusion detection models fail to generalize across IIoT networks

    A new study published on arXiv highlights a significant generalization failure in lightweight machine learning models designed for intrusion detection in Industrial Internet of Things (IIoT) networks. Researchers found …

  3. TOOL · CL_96245 ·

    New method enables edge AI for privacy-sensitive IoT applications

    A new paper introduces a method for designing neural networks directly on IoT gateways, enabling edge-based machine learning for privacy-sensitive applications. This approach allows for the creation of custom, hardware-…

  4. RESEARCH · CL_82780 ·

    China plans AI integration in telecom infrastructure by 2028

    China's Ministry of Industry and Information Technology (MIIT) has released a new three-year plan (2026-2028) focused on integrating artificial intelligence with information and communication technologies. The plan aims…

  5. TOOL · CL_74428 ·

    New framework enhances industrial IoT networking with LLMs and federated learning

    Researchers have developed a new framework called FEIBN to improve intent-based networking in industrial IoT environments. This framework utilizes large language models to translate user intents into network strategies …

  6. RESEARCH · CL_06931 ·

    Reinforcement learning optimizes TSCH networks for lower power and latency

    Researchers have developed RL-ASL, a reinforcement learning framework designed to optimize listening slots in Time Slotted Channel Hopping (TSCH) networks. This adaptive approach dynamically decides whether to activate …