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.
From Robots to Production Lines: Why NPUs Are Emerging as the New Standard for Real-Time Industrial AI
Industrial robotics and smart factories are increasingly being designed as unified cyber-physical systems.
From Connected Devices to Physical AI: How IoT Became the Foundation for Intelligent Systems
There is now a gap that defines the next phase of IoT. AI is providing the interpretation layer, while edge AI is bringing selected inference workloads closer to the source of the data.
Why “Reliability” is Becoming a Crucial KPI in Edge AI: Moving Beyond TOPS, FPS, and Benchmark Hype
TOPS, FLOPS, FPS, model size, and benchmark scores have all become familiar reference points for comparing AI hardware. While these metrics matter, they do not tell the full story.
Semiconductor Market Pulse: Five Insights for Q3 2026
By
Thomas Foj
-
2026年8月14日
Exploring the current semiconductor market shifts, technological trends, and supply-chain signals influencing Q3 2026.
Trucking, IoT & AI: Delivering a Revolution
2026年8月11日
Artificial intelligence (AI), advanced robotics, and the Internet of Things are increasingly shaping the automotive and logistics sectors.
The New Reality of Memory Supply: Navigating the Memory Shortage
By
Avnet Staff
-
2026年4月28日
AI is increasingly moving from the cloud to the edge, driving additional needs in areas such as power management, sensors and microcontrollers, not just high‑end compute.
Why Performance per Watt Is Becoming the Key Metric in Edge AI
In many deployments, systems must run continuously for extended periods without intervention, making reliability a primary design concern alongside performance.
Enabling Efficient Edge AI with DEEPX NPUs and the Avnet Silica Ecosystem
Learn how you can enable efficient Edge AI with DEEPX NPUs and the Avnet Silica Ecosystem.
SQL Server IoT 2025: Bringing AI and Enhanced Analytics to Edge Data
By
Yann Stridde
-
2026年2月5日
Organisations are feeling increasing pressure to process information directly at the edge
Smart Agriculture Solutions
By
Harvey Wilson
-
2026年1月23日
Practical Innovations in Connectivity, Positioning and Edge Intelligence
FPGA vs GPU vs CPU vs MCU – hardware options for AI applications
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?
Integrating AI in Smart Buildings
By
Harvey Wilson
-
2025年9月8日
The way we design, operate, and interact with buildings is evolving rapidly. With the rise of AI, IoT, and advanced analytics, buildings are transforming into intelligent, energy-efficient structures that can adapt in real time to occupant needs.
Shaping the future of Healthcare - Avnet Silica's latest webinar series
By
Harvey Wilson
-
2025年1月20日
With the growing demand for personalised healthcare, remote monitoring, and advanced diagnostic tools, innovative electronics are paving the way for safer, smarter, and more efficient medical devices.
Kits not bits - fast tracking edge AI development with ease and no risk
By
Harvey Wilson
-
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
-
2024年9月16日
This article elaborates challenges before discussing how the Arduino product portfolio and ecosystem accelerates time to market.
Defect visual inspection using AI enables multiple emerging markets
Machine vision is enabling many existing and emerging markets. Security, manufacturing and industrial automation all use machine vision. Adding artificial intelligence (AI) inferencing at the sensor provides many benefits. Industrial automation combines ...
How is AI changing the electronics industry?
By
Philip Ling
-
2024年5月22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 and embedded design share the same DNA
By
Philip Ling
-
2024年5月22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?
Why AI must redefine processor architectures
By
Philip Ling
-
2024年5月22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.
Learn how AI and the latest CPM technologies optimize patient rehabilitation
By
Avnet Staff
-
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.
What is the impact of using AI in 5G networks
By
Avnet Staff
-
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.
Advancing quality control: The Evolution, Impact and Future of Defect Visual Inspection (DVI) in Manufacturing
In the complex realm of manufacturing, Defect Visual Inspection (DVI) has emerged as a critical process, evolving significantly over time.
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.
AI-based image recognition does the hard work
By
Philip Ling
-
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.
The Future looks great
2022年4月27日
Are you excited about the future or are you worried? Are you expecting good things or more misery?
Smart Sensors: Smart Eyes for IoT
2022年4月27日
Technicians have been reluctant to use cameras for IoT because they were considered too expensive.
Optical BCI: Silent Speech – Close, But Not Close enough (Yet)
2022年4月25日
Housed in its top-secret Skunkworks tucked away in Building 8 on Meta’s campus in Menlo Park, Facebook Reality Labs (FRL).
Invasive IoT: The Internet of Bodies
2022年4月22日
Brain interfaces may be a future goal but, here and now, WiFi devices are increasingly becoming integral to the delivery of quality healthcare.
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.
Creating the Future
2022年4月21日
Smart homes and factories, smart clothing (socalled “wearables”), autonomous cars, trucks and drones and other stuff from the world of science fiction.