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.
In the future, eVTOL equipment will mainly be used for intercity rapid commuting, highly efficient and flexible logistics distribution, and emergency response public services.
As a leader in technological innovation, Avnet will continue to explore the limitless possibilities of IoMT, contributing to the creation of a smarter, more connected future for healthcare.
As the core driving force behind the industrial intelligent transformation, edge AI is rapidly becoming the key to more efficient and intelligent manufacturing processes.
The new era of EV charging, ushered in by SiC devices, is underpinned by passive components such as MLCCs. The right passive components can significantly enhance the efficiency, reliability, and performance of charging systems.
By helping enhance the availability and performance of e-bikes, Avnet hopes to help more people experience the wonders of these new technologies and the freedom of riding.
Voice recognition technology dates back to the 1940s and 1950s, when it was first used in telephone systems, and has developed rapidly in the 21st century
The full realization of NOA requires three main sensing technologies – camera lens, millimeter wave (mmWave) radar, and light detection and ranging (LiDAR). Each of these technologies has its own strengths and limitations, which complement the othe
There are more than 10 million factories worldwide, valued at USD 46 trillion in total. Clearly, industrial digitization will shape the future of the manufacturing sector.
The ongoing advancement of digital technology is driving wearable devices towards medical-grade applications, making them an important reference for assessing patients' physical conditions.
Design engineers seeking to develop more sustainable devices can turn to electrochemical gas sensors for a variety of applications that reduce carbon emissions, protect the environment and safeguard human health.
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.
With 5G rolling out and the help of phased array antennas, the 30 to 300 GHz, and specifically the millimeter-wave bands, of the RF spectrum are making their way into applications like autonomous driving.
There are three major obstacles standing in the way of widespread IoT applications. They are: power supply issues, software fragmentation, and system deployment complexities.
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.
High resolution and low dose are two of the latest developments in computed tomography equipment used by medical professionals. Looking inside tells us how these innovations are being achieved.
Cobots focus on interacting and collaborating with human workers. They bring a breath of fresh air to industrial automation and represent a new direction in automation technology.
Programmable technologies like PGA and programmable IC offer significant competitive advantages that will play an increasingly important role in the digital age.
The IoT gives manufacturers access to an unprecedented opportunity. To seize this opportunity, building all products and services from scratch is not always the most effective or economical choice.
Energy storage is the most critical and challenging factor in the energy production and utilization chain. As it has a critical impact on energy efficiency, it is the focus of intensive research and development.
For many embedded engineers, the microcontroller provides the beating heart of system design. More MCUs now integrate analog peripherals, reducing the need for additional analog components. This is where hardware and software come together.