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.
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.
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.
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.
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.
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.
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.
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.
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.
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?
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.
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.
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.
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.
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.
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.
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.
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?
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.
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?
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.
Learn how LoRaWAN and artificial intelligence (AI) at the edge can revolutionize the internet of things by reducing data transmission and improving latency.
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.
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.
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.
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.