Networking and Computing

HEADLINES ARCHIVE

  • New technology enables earlier detection of rising main bursts

    The new technology applies electrical signature analysis (ESA) to remotely monitor pumps and motors from the motor control center, with artificial intelligence (AI) used to analyze the current and voltage they draw.

  • OnLogic launches “Edge AI Excellence Awards” to celebrate real-world industrial AI innovation

    The competition invites innovators, system integrators, original equipment manufacturers and end users who have successfully deployed edge AI applications built using Intel-powered hardware from OnLogic.

  • Fast-tracking reliability testing in production

    A food and beverage packaging machinery manufacturer has implemented a structured Reliability Growth Program supported by HBK’s ReliaSoft Weibull++ software to improve complex machinery performance.

  • Optris introduces Optris Connect

    Designed as the ideal starting point for new users, Optris Connect makes thermal imaging easier than ever.

  • DMSC Model-Based Characteristics standard approved as American National Standard

    The approval marks a major milestone for digital manufacturing and model-based enterprise adoption.

  • New fire-resistant design shields critical monitoring equipment from wildfires

    The team built and tested fire-resistant instrumentation cabinets and cable conduits using commercially available insulation materials.

  • Industrial Ethernet in eight of 10 new nodes — Fieldbus decline accelerates according to HMS Networks’ annual analysis

    Industrial Ethernet now accounts for 79% of newly installed nodes worldwide, up from 76% in 2025.

  • Introducing Gabby, Tungaloy’s AI assistant for tool selection

    The introduction of Gabby expands Tungaloy’s digital ecosystem with a new artificial intelligence (AI) assistant for tool selection, designed to simplify how users explore machining solutions and product information.

  • Nuvoton launches NuML Studio: A simple tool to build and deploy AI on microcontrollers

    The tool helps developers solve common problems when building endpoint artificial intelligence (AI), providing a clear path from real-time data collection to automatic firmware project generation.

  • Datanomix brings production-tested AI to Automate 2026

    Experience how the company’s artificial intelligence (AI) is already running on customer floors — embedded in the rhythm of production, producing answers operators can act on during their shift.

  • NVIDIA DRIVE Hyperion is the platform for a robotaxi-ready world

    It combines high-performance NVIDIA DRIVE AGX in-vehicle compute, NVIDIA Halos OS — the software foundation of Halos, built on the safety-certified NVIDIA DriveOS operating system.

  • Space oddity: How AI is empowering new industrial uses for Earth observation

    Satellites are Earth’s omnipresent sensor system – and new AI data analysis techniques are finding compelling applications for its data.

  • How poor power quality turns motors into maintenance headaches

    Motors fail, not immediately, but over time because of power quality shortfalls. Whether it’s because of magnetic fields or inductance currents, the whole setup seems overly fraught.

  • Managing uncertainty: How AI-powered medical devices keep errors in check

    AI diagnostic systems output probabilities, requiring calibrated confidence scores so clinicians can judge reliability and distinguish high-confidence from uncertain predictions.

  • CODESYS Corporation to exhibit advanced automation solutions at Automate 2026

    Attendees can visit CODESYS Corporation at Booth #26030 to explore the latest developments in software-defined automation, virtual control, safety and artificial intelligence (AI)-supported engineering.

  • AI and robotics leaders to headline Automate 2026

    The Association for Advancing Automation (A3) today announced the keynote lineup for Automate 2026, as artificial intelligence (AI) reshapes industrial automation.

  • Pinpointing E. coli pollution in real time

    A predictive modeling framework can estimate E. coli contamination risk in recreational waters up to 24 hours in advance with approximately 85% accuracy.

  • Deep learning versus continual learning for environmental control

    Static models provide consistent, low-variance control under known conditions, while continual learning systems introduce flexibility at the cost of increased computational and operational complexity.

  • Forecasting US water supply trends

    A new online tool provides detailed information about water supply and demand across approximately 80,000 watersheds nationwide.

  • Designing medical devices that stay reliable — even when connectivity drops

    Medical device architectures are being designed to operate without reliable network connectivity. In clinical and field settings, dependence on continuous cloud access can delay diagnostics or interrupt monitoring, particularly in time-sensitive applications.

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