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机器学习
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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.
Navigating the Future: How Avnet is addressing challenges in AMR Design
By
Jamie Pederson
-
2024年4月16日
Autonomous Mobile Robots are performing tasks that are too dangerous, tedious, or costly for humans. Designing AMRs involves many technical and business challenges. This article covers these challenges and how Avnet will help you overcome them.
How the IIoT and edge computing are solving the “Short Board” problem
2022年4月22日
Industrial manufacturing processes generate vast amounts of data. This data can be used in meaningful ways – to predict failure, optimize the lifespan of equipment, and improve process efficiencies to keep pace with market demand.
Six cool new autonomous technologies
By
Cameron Coward
-
2022年1月31日
From planes, trains, and automobiles to farm equipment and Martian rovers, engineers are extending the capabilities of autonomous technologies to achieve simple productivity improvements and a better understanding of big issues like global warming.
Can edge controllers bring balance to the Industrial IoT?
By
Philip Ling
-
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.
How to get to market with machine learning
By
Philip Ling
-
2022年1月12日
Some may think of machine learning as the supporting act for AI, but in the industrial sector it is the main attraction. We spoke with Avnet Silica’s Michaël Uyttersprot, manager, system solutions, AI/ML and Vision, EMEA, to find out more.
Quick solutions for intelligent condition monitoring
2021年11月11日
A small intelligent condition-monitoring project provides a great entry point to the IIoT. Modules are available that make light work of sensing, data analytics and device management.
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.
FPGA vs. GPU vs. CPU – hardware options for AI applications
2021年3月31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?
Top 10 pitfalls in developing machine vision systems with artificial intelligence
2021年3月31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.
Why artificial intelligence at the edge matters
2020年10月30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?
机器学习
Filter By
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.
Rapid edge AI development to redefine the embedded industry
By
Alex Iuorio
-
2025年5月21日
Edge AI will be at the center of the fifth industrial revolution. The focus will shift from machinery toward people, productivity and sustainability. Embedded electronics is the foundation for this shift. While it may be difficult to predict the magnit...
Power of vision AI at the edge: How to unlock simple, fast edge AI deployment
By
Jennifer Skinner Gray
-
2025年5月20日
Pre-built integrations eliminate stumbling blocks of edge AI development. Engineers can skip weeks of configuration and jump straight into building their core applications.
Machines that learn: A deep dive into AI/ML models and algorithms
By
Michaël Uyttersprot
-
2025年5月19日
Artificial intelligence (AI) and machine learning (ML) can be used to pull insights out of huge volumes of information quickly and efficiently. AI/ML can also give machines the ability to process information like humans do. AI/ML can perform recogniti...
Hello world for machine learning
By
Cliff Ortmeyer
-
2025年5月16日
Machine learning has been embraced by smart applications to solve virtually unsolvable problems. Also known as predictive analytics, it is a mathematical method that "learns" from known good data.
Artificial intelligence and the universal impact on product design
By
Karen Field
-
2025年5月15日
Some 82% of engineers surveyed by Avnet say they have products or are working on new designs that feature AI. The latest Avnet Insights survey explored how engineers are using AI in the design process and incorporating it into product design. The surv...
5 myths about AI from a software standpoint
By
Phil Robinson
-
2025年5月14日
Production-ready demo code and quick implementation. That’s what they tell you, but is it too good to be true? We break down some of the myths surrounding AI software implementation.
Life on the edge of the network
By
Avnet Staff
-
2025年1月29日
We are hearing more about AI at the edge, but where exactly is the edge? Is it just a concept, or something more tangible? Is it a hub or router in a building, a sensor in a field, or everywhere in between?
Navigating the Future: How Avnet is addressing challenges in AMR Design
By
Jamie Pederson
-
2024年4月16日
Autonomous Mobile Robots are performing tasks that are too dangerous, tedious, or costly for humans. Designing AMRs involves many technical and business challenges. This article covers these challenges and how Avnet will help you overcome them.
How to use structured light and image sensors for range detection and identification
By
Philip Ling
-
2022年4月25日
Today’s most popular 3D imaging technologies are Time of Flight (ToF), stereo vision and structured light. This article overviews the basic operating principles and the relative strengths, weaknesses and trade-offs associated with each option.
Six cool new autonomous technologies
By
Cameron Coward
-
2022年1月31日
From planes, trains, and automobiles to farm equipment and Martian rovers, engineers are extending the capabilities of autonomous technologies to achieve simple productivity improvements and a better understanding of big issues like global warming.
Can edge controllers bring balance to the Industrial IoT?
By
Philip Ling
-
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.
How to get to market with machine learning
By
Philip Ling
-
2022年1月12日
Some may think of machine learning as the supporting act for AI, but in the industrial sector it is the main attraction. We spoke with Avnet Silica’s Michaël Uyttersprot, manager, system solutions, AI/ML and Vision, EMEA, to find out more.
Quick solutions for intelligent condition monitoring
2021年11月11日
A small intelligent condition-monitoring project provides a great entry point to the IIoT. Modules are available that make light work of sensing, data analytics and device management.
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.
FPGA vs. GPU vs. CPU – hardware options for AI applications
2021年3月31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?
Top 10 pitfalls in developing machine vision systems with artificial intelligence
2021年3月31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.
Why artificial intelligence at the edge matters
2020年4月10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?
How AI and IoT are transforming logistics
2020年4月8日
The latest developments in AI and IoT are shaping the future of logistics with data-driven, intelligent supply chains employing machine learning (ML). AI can deliver increased optimization in logistics while giving businesses speed and flexibility.
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.
AI From A-Z: The biggest buzzwords around artificial intelligence
2018年11月28日
Companies across markets from consumer electronics to factory floors are finding power in the introduction of two letters: AI (artificial intelligence).
As technology reshapes our world, ecosystems reshape our business models
By
Avnet Staff
-
2018年4月25日
See why businesses are now increasingly reliant on formal structures that tap into the power of partnership - “the company you keep.”