RISC-V democratised processor design and even forced the existing ISAs to create room for custom instructions. The outcome was a movement of adoption and experimentation throughout the world's semiconductor ecosystem. But the speed and nature of these initiatives are diverse across geographic regions. This difference stems from the unique priorities and pain areas of leading market participants, whether in enabling data sovereignty, attaining energy efficiency, driving costs down, or supporting large-scale commercialization.

Quantum computing (QC) is steadily moving from the realm of theoretical physics to strategic reality. In 2025, the field is no longer defined by lab-bound experiments or speculative timelines—it’s shaped by real-world investments, scalable architectures, and an ever-expanding ecosystem of companies racing toward quantum advantage. From superconducting qubits and trapped ions to photonic processors and neutral atoms, the diversity of approaches reflects both the complexity and potential of this emerging industry.

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 represents the next leap, delivering higher accuracy, enhanced security, and scalable deployment. This article explores the underlying signal-processing techniques, highlights key implementation considerations, and evaluates performance benefits across use cases such as secure distance measurement and indoor positioning.

In this article, we will study a simple circuit consisting of a diode and an RC group, capable of revealing the radio frequency envelope of a microwave pulse. Square wave modulation Let’s imagine we have a sinusoidal oscillation truncated and amplitude modulated by a square wave: Where: Here, n is a non-zero natural integer that determines the number of oscillations and therefore the duration of the signal…

In Part 1, we explored Europe’s cautious but coordinated approach to the quantum revolution. In this second installment, we turn to the United States, where the race takes on a distinctly different character. Here, progress in quantum technologies is driven less by continental coordination and more by the force of private enterprise. Tech giants like Google, IBM, Amazon, Intel, and Microsoft drive quantum computing (QC) research with unmatched financial and technical resources, while startups such as Rigetti, IonQ, and PsiQuantum accelerate innovation with venture-backed agility.

Here’s a RoundUp of this week’s must-read articles – we’ll delve into the latest developments on Software-Defined Medical Systems, Introduction to Spin Waves, and Touchscreen GUI Development! Also, check News Archives – Embedded and Technical Articles Archives – Embedded for the complete list of news and articles from our website. NEWS Embedded Survey 2025 The 2025 global survey of embedded engineers captured insights from professionals worldwide.

Software-defined systems are reshaping entire industries, from automotive to industrial automation, and are now rapidly making their way into the medical device industry. Medical technology companies not only see opportunities for new applications and faster innovation, but also for a new way of value creation and new business models. The MedTech industry is therefore undergoing a shift away from standalone, hardware-centric devices toward connected, intelligent, and software-defined healthcare platforms.

A team of physicists recently proposed a new material for neural network hardware 1 in which the interaction between neurons is conveyed by “spin waves” propagating through special waveguides, thus reducing energy dissipation. Introduction In previous issues, we saw that the transmission of a signal in the axon of a single neuron in a natural neural network occurs through a “virtual” movement of positive electrical charges, which can be modeled through the propagation of a soliton.

This project demonstrates the integration of a 4-inch 480×320 ILI9488 TFT LCD with capacitive touch functionality using the Raspberry Pi Pico (RP2040) microcontroller. The code is developed by the Arduino IDE, leveraging the widely used TFT_eSPI library for efficient SPI communication with the ILI9488 display controller. For the touch interface, a GT911 capacitive touch panel is connected via I²C and handled through custom, manually written code to interpret touch events.

Zephyr is a lightweight RTOS designed to provide portability across diverse hardware platforms through a modular framework. Most beginners avoid Zephyr because of its complexity and steep learning curve. This article offers easy steps to initialize the latest versions of Zephyr and Zephyr-SDK for Windows and Visual Studio Code. It also educates the device tree using a challenging example of porting an ILI9341 and XPT2046 resistive touch on an identical SPI bus for a…

Imagine a football player who must reach the goal while avoiding tackles. In this metaphor, the oval ball represents the “information” exchanged between neurons in a neural network; the tackles, on the other hand, are the impacts against the network. Finally, the player is a “spin wave”. Let’s see what this is all about. Introduction The analysis performed in a previous issue, although approximate, suggests the implementation of an artificial neural network in which neurons exchange electron spin waves (as achieved by this work 1).

Here’s a RoundUp of this week’s must-read articles – we’ll delve into the latest developments on Chiplet-Based Solutions, CrowPanel Pico 2.8 Touchscreen, and Security Features in Arduino UNO Q! Also, check News Archives – Embedded and Technical Articles Archives – Embedded for the complete list of news and articles from our website. NEWS POLYN Technology Unveils World’s First Silicon-Proven NASP™ Chip, Pioneering a New Era in Ultra-Low-Power Analog AI Processing…

The 2025 global survey of embedded engineers captured insights from professionals worldwide. The focus on roles, projects, tools, and technologies provides a holistic view of embedded development. Access key data for understanding current and future embedded trends when you download the 2025 Embedded Systems Survey Report.

Deca Technologies and Silicon Storage Technology (SST), a subsidiary of Microchip Technology Inc., have announced a strategic collaboration to address the challenges of semiconductor integration through non-volatile memory (NVM) chiplet solutions. This partnership combines Deca's M-Series fan-out and Adaptive Patterning technologies with SST's SuperFlash embedded flash technology, creating what both companies describe as a comprehensive platform for modular, multi-die systems.

The embedded systems market is growing, driven by an increasing number of smart devices, but also the need for predictive maintenance and connected ecosystems in various sectors. Several key trends are driving the embedded market today, among them the growing demand for smart IoT devices in industrial automation, automotive electronics (electric, autonomous vehicles), smart everything (cities, agricultural systems, transport), and more recently, machine learning (ML) and artificial intelligence (AI) residing on individual systems (machines in industrial setups or tractors in agriculture), upgraded wireless connectivity (5G and heading to 6G), and autonomous robots and drones.

A justified fanfare greeted the launch of the Arduino UNO Q: the first member of the Arduino UNO board family to feature a hybrid microprocessor + microcontroller architecture. Arduino UNO Q is a compelling new hardware platform supplied in Arduino’s familiar developer-friendly format. Its combination of a processor running a Linux® operating system (Debian OS), real-time control capability, and a powerful new version of the Arduino development environment opens up new opportunities for Arduino users to design more advanced applications.

POLYN Technology, a trailblazer in ultra-low-power neuromorphic computing, has announced the successful fabrication and testing of the world’s first silicon-proven implementation of its proprietary NASP™ (Neuromorphic Analog Signal Processing) technology. This achievement marks a breakthrough in analog AI processing, validating both the NASP concept and POLYN’s automated design ecosystem. The NASP platform harnesses trained neural networks operating directly in the analog domain to execute AI inference with dramatically lower power consumption compared to conventional digital neural processors.

This second installment, dedicated to the CrowPanel Pico 2.8, examines how to make the display interactive. It is possible to use the touchscreen just like on smartphones, tapping the screen to set values, change pages, activate alarms, and much more. Some techniques are explained step-by-step, starting with reading screen touches and using them in your MicroPython project. The CrowPanel Pico 2.8 already has a display and touchscreen built in, so nothing else is needed, at least for a basic project.

The second embedded world North America (ewNA) conference—a satellite to the larger embedded world conference held annually in Nuremberg, Germany—is right around the corner. This time, the show will move to the West Coast in Anaheim, California. Overarching themes of the show will be the growing complexity of embedded systems to best serve the continual stream of edge AI applications; meeting the demands of these complex systems, all without ignoring security and the looming threat of quantum hacking; and the burgeoning ecosystem of custom silicon with flexible chiplet architectures, which enables OEMs to create specialized hardware catered to their specific embedded tasks.

Here’s a RoundUp of this week’s must-read articles – we’ll delve into the latest developments on Real-Time DBMS on Raw Flash Memory, Quantum Computing, and How to Implement a Binary Clock! Also, check News Archives – Embedded and Technical Articles Archives – Embedded for the complete list of news and articles from our website. NEWS Silicon Labs Unveils Simplicity Ecosystem: A Modular, AI-Ready Platform to Redefine IoT Development…

In the first part of this article, we examined how the SLG46533V was used to build a Binary-Coded Decimal (BCD) clock, combining an LED time display and button-based time setting in a compact design.In this second part, we focus on the design of the “B” chip used in the BCD Binary Clock and explore the implementation of a Binary-Coded Sexagesimal version, showing how the…

Hello everyone, and welcome to another episode of Embedded Edge, where we explore the technologies shaping the future of embedded systems. Today’s episode is brought to you by our sponsor, Infineon Technologies. In today’s hyper-connected world, embedded and IoT devices are everywhere—from our homes to critical industrial systems. But with this connectivity comes vulnerability. Cybersecurity is no longer just a software issue; it’s a holistic challenge shaped by hardware, regulations, cryptography, and the evolving threat landscape.

In a world dominated by digital displays and smart devices, the binary clock stands out as a fascinating fusion of technology, education, and design. Unlike traditional clocks, a binary clock represents time using the binary number system - the same language understood by microprocessors and digital circuits. While such a device might seem like a novelty at first glance, it serves multiple purposes.

The significant energy consumption of current artificial intelligence systems is a serious problem that could limit the spread of AI. In this article, we will show that in so-called wet-neural networks, i.e., non-solid-state networks, energy consumption is negligible. Introduction The thorny issue of the high energy expenditure of artificial intelligence systems will be addressed at the World Conference on Statistical Physics, which opened in Florence, Italy, on July 13, 2025.

Silicon Labs has introduced the Simplicity Ecosystem, a next-generation suite of modular software tools designed to modernize embedded IoT development through automation, interoperability, and planned AI integration. Built around Simplicity Studio 6 and the forthcoming Simplicity AI SDK, the ecosystem unifies installation, configuration, debugging, and analysis in a single developer-centric environment that enhances productivity across the entire design cycle. For over a decade, Simplicity Studio has empowered engineers to create connected devices efficiently.