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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.
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.
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.
As the core driving force behind the industrial intelligent transformation, edge AI is rapidly becoming the key to more efficient and intelligent manufacturing processes.
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 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.
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.
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
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).
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.
Industrial manufacturing processes generate vast amounts of data. This data can be used in meaningful ways – to predict failure, optimize the lifespan of equipment, and improve process efficiencies to keep pace with market demand.
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?
Learn how LoRaWAN and artificial intelligence (AI) at the edge can revolutionize the internet of things by reducing data transmission and improving latency.
Whether you know it or not, this technology has a lot of potential to deal with business-specific challenges and the benefits of deep learning outnumber its drawbacks.
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.
AI-supported applications must keep pace with rapidly growing data volumes and often have to respond simultaneously in real time. The classic CPUs that you will find in every computer quickly reach their limits in this area because they process tasks
Futurists say artificial intelligence (AI) and the Internet of Things (IoT) will transform business and society more profoundly than the industrial and digital revolutions combined, and we’re now starting to see how that world might shape up.