In recent years, the evolution of artificial intelligence (AI) has extended its boundaries from cloud computing to the edge, which has profoundly changed the role of embedded microcontrollers (MCUs).
Eliyan, a startup co-founded in 2021 by three experienced networking, connectivity, chip architecture and packaging serial entrepreneurs, recently announced details of its chiplet connectivity ...
The comparison of edge AI and cloud AI is built on the foundation of the “edge computing versus cloud computing” debate. Cloud computing leverages remote data centers to deliver on-demand computing ...
SDRs and SDNs provide fundamental tools to enable unique 5G features, such as network slicing and DSS. The world of wireless communication is about to ...
While demand for proximity detection continues to grow across IoT, automotive, and logistics applications, current solutions remain hindered by insecurity and imprecision. Bluetooth Channel Sounding ...
Boris Radonic is a Research and Development Engineer with more than 30 years of experience in Electronic Engineering, Control Systems, and Software Engineering, focusing on real-time applications. He ...
At the International Electron Device Meeting (IEDM) held in San Francisco last December, TSMC introduced its 2nm process technology, highlighting advancements in nanosheet transistors. Branded as N2, ...
AI technology, which is the basis of digital transformation, has influenced a large number of industries, including electronic design and manufacturing in a complementary way. Printed circuit board ...
Market demands for powerful and responsive graphical user interfaces (GUIs) are constantly growing, posing additional challenges for developers. This paper focuses on exploring these challenges and ...
The system in Figure 2 uses the ADF4372 PLL (see Figure 5), a wideband synthesizer with integrated VCO, that allows the implementation of fractional-N or integer-N frequency synthesizers when used ...
AI on edge devices is transforming the world of embedded electronics with advanced computing capabilities directly on low-power devices. Traditionally, neural networks have required powerful hardware ...
Over the past few years, countries around the world have decided to subsidize their domestic semiconductor ecosystems with an unprecedented amount of money. European Union member states made such a ...