Artificial Intelligence

Cloud collaboration + AI: building sustainable development for smart agriculture

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

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

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

Need more detail around edge AI terminology? Check out this essential guide.

Programmable logic provides the key to efficient edge AI

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

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

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

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

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?

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

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

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 

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

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

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

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

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

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

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

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

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

As the core driving force behind the industrial intelligent transformation, edge AI is rapidly becoming the key to more efficient and intelligent manufacturing processes.

Navigating the Future: How Avnet is addressing challenges in AMR Design

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 AI TRiSM is laying foundations of trust for the Future of AI

AI TRiSM stands for “Artificial Intelligence (AI) Trust, Risk and Security Management”. In this era of flourishing AI, data communications and GPUs, the AI TRiSM framework is becoming increasingly important.

AI-powered wearable targets preventable deaths – Part 1

Proof of Concept. The first part in an Avnet Case Study Series

AI is impacting passive and interconnect design

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

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.

Imagine the Metaverse

Via a combination of virtual reality (VR), augmented reality (AR), and mixed reality technologies, end-users can visit whole new worlds and experience incredible interactive activities. The digital world we’re accustomed to will be elevated to uni

AI-based image recognition does the hard work

Taking pictures is easy. Analyzing images is the hard part. Let algorithms do the heavy lifting and get better results, faster.

DMS: Don't fall asleep at the wheel – I'm watching you!

Until humans can comfortably "hand over the steering wheel" to machines, "human-machine co-driving" will dominate the automotive market. A recent development in this scenario is the Driver Monitor System (DMS).