Bringing a product to market takes many steps. But often, design engineers have to piece together scattered information, leaving them without the knowledge they need to make educated decisions. Our resources can help guide that research process.
Three future Industrial IoT trends manufacturers should think about now
By
Philip Ling
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January 11, 2022
AI may be the headline act, but a greater impact on manufacturing will come from the trends enabled by AI. OEMs can expect to feel the impact in three areas.
Best practices and use cases for machine learning in industrial automation
By
Michaël Uyttersprot
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September 13, 2021
Avnet Silica experts present a range of application examples and solution approaches for the use of machine learning in manufacturing
Top 10 pitfalls in developing machine vision systems with artificial intelligence
April 28, 2021
Machine vision (MV) and artificial intelligence (AI) provide valuable inspection and analysis capabilities to a wide range of leading-edge applications. As with all advanced technologies, there are pitfalls to avoid.
FPGA vs. GPU vs. CPU – hardware options for AI applications
April 28, 2021
Field programmable gate arrays (FPGAs) deliver many advantages to artificial intelligence (AI) applications. How do graphics processing units (GPUs) and traditional central processing units (CPUs) compare?
Why artificial intelligence at the edge matters
October 27, 2020
AI at the edge will have profound effects on many industries, including transportation, defense, manufacturing and healthcare to name a few. How will AI at the edge change these industries, and why does it matter?
IoT Agencies: How to Jump-Start Projects
February 15, 2020
Many companies face the challenge of realizing their IoT projects, and agencies can help. Their services range from the examination of the idea to developing the operational prototype.