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AI is changing the game. Whether you're working on systems that act intelligently in a specific domain (narrow AI), or in general (strong AI). Designing those systems is no easy task. Explore our resources to stay up to date in the world of AI trends, technology, and technical expertise.
Liquid cooling helps shape thermal management for AI
By
Andrea Tsapralis
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2025年3月5日
AI is changing data centers and our expectations. But this transformation comes with demands, in terms of power consumption and corresponding heat generation. The industry is rapidly adopting the latest thermal management solutions.
Discover what’s special about AI processor architectures
By
Avnet Staff
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2025年2月10日
Are you and your engineering peers curious about AI processors? There’s a good chance you are, but can you agree on what makes them different, better or special? It’s not just a label; they are architected in a fundamentally different way.
Deep vision inspection using AI enables multiple emerging markets
By
Michaël Uyttersprot
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2024年8月5日
Machine vision enables many existing and emerging markets. Security, manufacturing and industrial automation all use machine vision. Adding AI inferencing at the sensor provides many benefits.
Navigating the Future: How Avnet is addressing challenges in AMR Design
By
Jamie Pederson
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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.
AI-powered wearable targets preventable deaths – Part 1
By
Philip Ling
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2024年4月5日
Proof of Concept. The first part in an Avnet Case Study Series
AI is impacting passive and interconnect design
By
Avnet Staff
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2024年2月22日
Engineers selecting passive and power components must consider the needs of AI running in the cloud and on high-performance computers. Moving huge amounts of data around is also influencing interconnect design.
Learn how AI and the latest CPM technologies optimize patient rehabilitation
By
Avnet Staff
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2024年2月21日
Continuous passive motion (CPM) is now a critical part of patient rehabilitation. New technologies, including artificial intelligence, are helping medical OEMs take the next step to optimize patient therapy.
How is AI changing the electronics industry?
By
Philip Ling
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2023年10月6日
Artificial intelligence has the potential to influence every part of any company. As a trusted partner and leader in technology, Avnet has a responsibility to its customers and suppliers to consider the impact of AI from all angles.
Why AI must redefine processor architectures
By
Philip Ling
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2023年10月3日
Artificial neural networks are complex, multi-layered and multi-dimensional arrays of interconnected numerical values. Executing the math behind those connections is at the heart of AI. This math is unlike any other in the digital domain.
Why AI and embedded design share the same DNA
By
Philip Ling
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2023年9月26日
Intelligence comes in many forms. More of us are interacting with devices that appear to understand us. What and how they understand depends on the technology inside. How are embedded engineers implementing intelligence?
What is the impact of using AI in 5G networks?
By
Avnet Staff
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2023年8月22日
AI is impacting the performance, security and maintenance of 5G networks. Network operators are racing to reap the benefits. AI promises to deliver returns on network investment and improve the end-customer experience along the way.
AI-based image recognition does the hard work
By
Philip Ling
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2022年10月21日
Taking pictures is easy. Analyzing images is the hard part. Let algorithms do the heavy lifting and get better results, faster.
What does the future of automotive technology look like?
By
Jamie Pederson
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2022年5月9日
The automotive industry is becoming more technologically advanced at a fast pace from comfort and infotainment to advanced safety systems. This article explores the trends as vehicles become data centers on wheels.
Six cool new autonomous technologies
By
Cameron Coward
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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
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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.
How to get to market with machine learning
By
Philip Ling
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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.
Three future Industrial IoT trends manufacturers should think about now
By
Philip Ling
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2022年1月11日
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.
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.
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.
The State of Automotive Only Starts with Autonomous Driving
2020年3月6日
Learn how the state of automotive spans a variety of applications, from electrication to in-cabin AI.
How LoRaWAN and AI at the Edge Revolutionize the IoT
2020年1月3日
Learn how LoRaWAN and artificial intelligence (AI) at the edge can revolutionize the internet of things by reducing data transmission and improving latency.
Today's case for AI at the edge for engineers
2019年5月16日
AI might feel far away, but engineers are innovating everyday. Should you consider edge AI?
Avnet and Microsoft Azure Sphere: IoT security in hardware, software and at the edge
2019年3月5日
IoT has transformed various industries by automating them at large, but the security concerns associated are just as large as the market opportunity this technology presents. That’s where Azure Sphere comes in.
How AI-powered virtual assistants can transform healthcare
2019年2月26日
We have witnessed a paradigm shift in the way patients are being treated by the doctors with the help of AI and machine learning.
AGI, artificial general intelligence, the AI bubble and more: Q&A with Toby Walsh
2019年2月25日
We sat down with "rock start of AI" Toby Walsh to talk about the buzz around AI, how far true intelligence really is and how to operationalize AI today for benefits in your business tomorrow.
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.
How leading manufacturing companies are reaping various benefits of AI
2019年2月25日
Manufacturing companies are applying AI-powered analytics for multiple use cases, such as, cutting unplanned downtime, better product designing, increasing product quality, ensuring employee safety, and many more.