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Artificial Intelligence
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.
When AI Clusters Reach 1.6T: Look Beyond GPUs - IP&E Is the Data Center’s “Hidden Bus”
2026/10/01
Compute silicon defines the performance ceiling, but IP&E determines whether the system can remain stable under extreme load.
The Rise of 48V: A New Foundation for Software-Defined Vehicles
2026/09/01
Traditional 12V electrical architectures are gradually reaching their limits in terms of power delivery and efficiency, driving the automotive industry to seek a more capable solution for future vehicle platforms.
When Motors Learn to Think: Three Key Links Between Agentic AI and Industrial Control
2026/08/10
Bringing Agentic AI into embedded control architectures is emerging as an important trend that could reshape the underlying logic of industrial control.
The Hidden Factor Limiting Edge AI Performance: Why the Analog Front End Matters
2026/07/15
By establishing a strong foundation for signal processing at the source, engineers can provide AI systems with higher-quality data, enabling more reliable, intelligent, and impactful applications across industries.
Rethinking RF and analog front ends for smarter edge AI
By
Avnet Staff
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2026/07/02
This article treats RF and AI as one design problem, exploring how to partition RF/AFE, data conversion and edge processing across vibration, RF condition monitoring and low power sensing use cases, with a practical co design checklist.
Managing component obsolescence and second-source risk in an AI era
By
Avnet Staff
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2026/06/04
Nervousness coming from AI driven demand spikes is leading engineers to ask more questions about lifecycles, using distributor data to anticipate and mitigate unwelcome surprises.
Gartner’s Top 2026 Trend: What Is Physical AI Really Changing?
2026/06/01
AI is no longer confined to digital or virtual environments. Instead, it is rapidly moving into the physical world, embedding itself into real-world operations.
Training large AI models consumes massive power—who will be the next-gen AI “power manager”?
2026/03/01
To address the extreme challenges in electricity posed by AI computing power, the key solution lies in building end-to-end capabilities.
Cloud collaboration + AI: building sustainable development for smart agriculture
2025/12/01
Traditional farming has relied on wisdom passed down through the generations. Today, a profound revolution is underway. “Farming by data” is transforming agriculture from labor-intensive toil into smart, decision-driven cultivation.
Optimized analog front-end design for edge AI
By
Avnet Staff
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2025/11/21
Connected applications are in transition, from the internet of things (IoT) to the artificial intelligent internet of things (AIoT). Real-world data is now doing double-duty. How does that impact analog design?
Low-latency power management in edge AI architectures
By
Avnet Staff
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2025/11/06
Can traditional power management techniques meet AI's computational demands while satisfying the stringent latency requirements of real-time systems? We look at solutions to this fundamental challenge for edge AI developers.
Your essential guide to edge AI terminology
By
Avnet Staff
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2025/11/04
Need more detail around edge AI terminology? Check out this essential guide.
Programmable logic provides the key to efficient edge AI
By
Avnet Staff
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2025/10/29
FPGAs provide design flexibility. Like GPUs, configurable logic lends itself to massively parallel execution, aligning with the demands of embedded machine learning and artificial intelligence. Which one is better for your application?
Transitioning from IoT to edge AI system development
By
Avnet Staff
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2025/10/29
Rapid developments in machine learning and artificial intelligence present challenges for embedded system engineers charged with bringing AI to edge devices. How should design teams address these challenges?
The Driving Forces Behind the AI-Empowered Automotive Revolution
2025/10/15
For the automotive industry, AI is not merely a technological tool but the core infrastructure of the future transportation ecosystem.
AI leads the multifunctional robot revolution across industries
2025/09/15
The multifunctional robot revolution is unstoppable – and so is Avnet’s commitment to making sure its customers are leading the way for their respective industries.
Building better supply chains using AI
By
Avnet Staff
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2025/07/17
Avnet delivered nearly 240 billion components worldwide in its 2024 fiscal year. With supply chain complexity increasing, leveraging AI to improve electronic component distribution is now a priority for service providers.
Will vibe coding kill the compiler?
By
Philip Ling
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2025/07/03
There is an ever-growing number of high-level programming languages to choose from. With vibe coding using AI assistants becoming popular, could the days of high-level languages, toolchains and even compilers be numbered?
Why you could be leading the next revolution
By
Philip Ling
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2025/06/11
Developments like multimodal artificial intelligence (AI) at the edge will define Industry 5.0. Adapting to these developments, even in small part, could catapult you out of the Information Age and past Industry 4.0.
Rapid edge AI development to redefine the embedded industry
By
Alex Iuorio
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2025/05/21
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
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2025/05/20
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
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2025/05/19
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
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2025/05/16
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
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2025/05/15
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
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2025/05/14
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.
The future of AI is at the edge
2025/05/10
As AI technology gains traction and the concept of green computing is embraced, edge devices will become an increasingly powerful force driving the development of a more intelligent world.
The invisible force improving the way we work and live
2025/04/15
Having foreseen the growth potential of ambient invisible intelligence, Avnet provides a full range of innovative products and solutions to meet evolving market needs in this dynamically expanding field.
Liquid cooling helps shape thermal management for AI
By
Andrea Tsapralis
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2025/03/05
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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2025/02/10
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.
How Edge AI is making factories super-brainy
2024/12/16
As the core driving force behind the industrial intelligent transformation, edge AI is rapidly becoming the key to more efficient and intelligent manufacturing processes.