Socionext and Innatera have jointly developed a human-presence detection system that integrates 60-GHz FMCW radar sensing with neuromorphic edge AI, providing consistent, reliable detection while ...

Conclusions Designing an embedded system for low-power usage is not just a requirement for battery-operated devices but also for grid-connected devices. As you have seen in this post, low-power design ...

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, ...

2025 promises to be a pivotal year for electronics industries, with a shared goal of accelerating innovation, efficiency and sustainability. The ongoing transformation, which began with the rise of ...

Quantum computers use the concepts of quantum mechanics, such as superposition and entanglement, to solve problems that normal classical machines can’t. Quantum computing is no longer just a dream: It ...

STMicroelectronics’ Nucleo development board, while considered “dated” compared with many newer alternatives, continues to be widely used in industry and academia. Its long history of reliability, ...

Neuromorphic Computing: The New Frontier of Computer Science Inspired by the Human Brain Neuromorphic computing represents one of the most fascinating evolutions in computer science and AI. It could ...

The levels of vehicle autonomy The concept of autonomous vehicles has been around for decades, with initial tests conducted in the 1980s. These tests were relatively simple, getting a car to steer ...

Since most projects run late, what do you think gets cut? Test, of course. The implication is that we deliver bug-ridden products that infuriate our customers and drive them to competitive products.

There are several techniques to build a seismic motion detector. The approach described in this article uses a simple vibration sensor, a system to amplify the signal, and an Arduino R4. However, the ...

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 ...

In the previous article, we provided an overview of the CrowPanel ESP32 device, observing its general features and creating some basic examples of use. In this article, however, we focus on ...