The potential is for Single Pair Ethernet and Ethernet APL to serve as the network infrastructure for the Industrial IoT, and the next generation communication architecture for automation. Originally developed for the automotive industry, now the promise is nothing less than a continuous connection from sensors to the cloud.

AI agents from Siemens are designed to automate automation using Siemens Industrial Copilots. The future vision is an ecosystem of Industrial AI agents available on the Xcelerator platform with both Siemens and third-party AI agents. The goal is productivity aimed to increase by up to 50% for industrial companies.

Smart manufacturing is continuing to deploy diverse technologies to improve the performance of automation. This special report on next generation machine control looks at how AI, PLC virtualization, new controllers and software tools will provide solutions for real-time control, data connectivity and secure operations.

The integration of IIoT and connected applications is revolutionizing the manufacturing industry. By leveraging real-time data, predictive analytics, and advanced automation, manufacturers can optimize their operations, improve product quality, and enhance supply chain visibility.

AI technology is helping to empower automation and control engineers by automating routine tasks, improving system efficiency, and enabling smarter decision-making. This allows engineers to focus on innovation and higher-value activities, ultimately driving better outcomes for manufacturing operations

The Cisco 2024 State of Industrial Networking Report for Manufacturing reveals how manufacturing firms worldwide are designing and deploying their operational technologies to improve cybersecurity, quality and efficiency. One of the conclusions of the report is that firms are investing in an AI-ready foundation.

Users can implement automation applications more easily and cost-effectively with new AI tools. The rapid development of these AI tools, combined with a significant acceleration of hardware capabilities and integrated Ethernet interfaces, is opening up both new applications and segments.

Out of the box solutions move data easily and securely from operations to IT. IT specialists don’t always grasp the needs and challenges of their counterparts in OT. To align their needs and objectives with IT, they need surer footing to navigate today’s cybersecurity requirements and quality solutions to bring…

The main application areas for Convolutional Neural Networks (CNN) are pattern recognition and classification of objects contained in input data. This first part of a three part series in this issue explore how CNNs are a type of artificial neural network used in deep learning.

This three part series of articles explains convolutional neural networks (CNNs) and their significance in machine learning within AI systems. CNNs are powerful tools for extracting features from complex data. Part 2 puts the focus on the training process for neural networks.