Best Practices and Use Cases for Machine Learning in Industrial Automation

Industry White Paper

Best Practices and Use Cases for Machine Learning in Industrial Automation

Whitepaper Overview

Industrial automation is constantly evolving — advancements in technology offer new, increasingly efficient ways to manufacture goods every day. With the highly dynamic advances in factory and process automation, companies can manufacture higher quality, more flexible products faster than ever before.

Artificial intelligence (AI) plays a crucial role in the future of this industrial automation — much of the advancements in machine learning are made possible through a secured production environment.

This informative whitepaper from Avnet presents a range of application examples and solution approaches for the use of machine learning in manufacturing. In particular, this whitepaper focuses on self-learning robots and “cobots,” environmental monitoring in factory automation, operations and process management with AI-based smart glasses, as well as edge computing and intelligent sensors.

AI / Neural Networks

Consumer Electronics

Digital Signal Processing

Engineering Consulting

Industrial Automation

Security / Identification

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Michael Nlandu The Rock January 06, 2021

What is the difference between Industrial Neural Network (INN), Deep Neural Network (DNN), and At another side the Difference between Intelligent Automation and The Industrial Automation and third, The Edge Computing, Quantum Computing and The Cloud computing.

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Michael Nlandu The Rock January 06, 2021

What is the best and suitable way to define industrial IoT comparing to the Home Automation and IoT ? And what are the best communication range for the both. And lastly, can IoT communication be capable of communicating from long distances like from two different continents?

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