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Discover the new FRDM Development Ecosystem from NXP – Empowering Engineers with the FRDM to Innovate!
Date: 2025年6月26日
Location: Germany, Holzwickede
Machine learning
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Machine learning is transforming the world. Algorithms that used to work with the cloud are now scaling beyond to the edge. From surveillance to ADAS, and robotics to data centers—explore our resources to get technical expertise and stay up to date with machine learning trends and technology.
Arduino Pro Q&A
By
Harvey Wilson
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2024年9月16日
Below, we answer key questions about the Arduino Pro series, highlighting its role in industrial applications, its capabilities, cloud integration, and the ease of developing machine learning models on the edge.
Kits not bits - fast tracking edge AI development with ease and no risk
By
Harvey Wilson
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2024年9月16日
This article looks at how these modules have evolved from development tools, for teaching and prototyping, to enterprise-quality components that can simplify your product development while meeting industrial standards.
Accelerating the Development of “Smart” Industrial Equipment
By
Harvey Wilson
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2024年9月16日
This article elaborates challenges before discussing how the Arduino product portfolio and ecosystem accelerates time to market.
Placing greater intelligence at the edge
2022年12月15日
With the number of connected nodes that make up the Internet of Things (IoT) growing on a daily basis, it is universally accepted that the way in which machine learning (ML) inferencing is executed has to change.
Augmented Humanity: The Man Machine
2022年4月21日
Psychokinesis, or mind over matter, is a popular dream of sci-fi and horror story writers.
How to get to market with Machine Learning
By
Michaël Uyttersprot
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2022年3月24日
Artificial Intelligence (AI) will become so commonplace it will be taken for granted. We can say this with some confidence, because so many semiconductor manufacturers already have embedded processors that are designed for AI.
Can edge controllers bring balance to the Industrial IoT?
By
Philip Ling
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2022年1月19日
Putting more real-time intelligence at the heart of industrial automation is creating a new breed of control technology. Connectivity and control must go hand in hand in the Industrial IoT, but it requires the best of both worlds.
As 5G evolves, 6G takes aim at Internet of Everything
2021年10月8日
Work on 6G is already underway to define what the standard will do and how it will do it. If 5G is about enabling the Internet of Things (IoT), 6G is about enabling the Internet of Everything – including you.
Best practices and use cases for machine learning in industrial automation
By
Michaël Uyttersprot
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2021年9月13日
Avnet Silica experts present a range of application examples and solution approaches for the use of machine learning in manufacturing
Predictive Manufacturing: The Future of Making
2021年6月23日
Predictive maintenance, using IoT to anticipate and prevent breakdowns by collecting and analyzing machine data, has been gaining momentum in recent years.
Top 10 pitfalls in developing machine vision systems with artificial intelligence
2021年4月28日
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
2021年4月28日
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
2020年10月27日
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?
Urban Robots: Street Smarts
2020年2月15日
Technologists and business titans are all pushing the limits of technology in a breathtaking sprint to bring robots to our streets.
4 ways AI connects retailers and customers
2019年2月25日
Technologies like machine learning and AI help retailers to process massive amounts of customer data. And with this data in hand, retailers can thoroughly understand their customers’ buying behavior.
The rise of machine intelligence in the AI era
2019年2月24日
Whether you know it or not, this technology has a lot of potential to deal with business-specific challenges and the benefits of deep learning outnumber its drawbacks.