In 2014, Cypress unveiled the HyperBus interface which, leveraging upon the legacy features of both parallel and serial interface memories, improves the system performance, simplifies the design, and ...

Low-power applications represent a significant portion of the future market for embedded systems. Every year, more designers are required to make designs portable, wireless and energy efficient. This ...

In embedded applications that use neural networks (NNs) for classification tasks, it is important to not only minimize the power consumption of the NN calculation, but of the whole system.

Mobile and embedded systems are the hidden workhorses of modern technology—from the smartphones in our pockets to IoT devices in our homes and industries. At the heart of these systems lies the ...

Codasip debuted two new customizable low power embedded RISC-V processor cores. To support embedded AI applications, the L31/L11 cores run Google’s TensorFlowLite for Microcontrollers. Codasip Studio ...

The approach would enable systems of low-power embedded devices to be connected and managed seamlessly under the IP umbrella regardless of the type of physical links on which they are connected. A new ...

A new study presents a system-level design framework for a low-power embedded sensor node capable of performing machine learning inference directly on-site. Study: Low-Power Embedded Sensor Node for ...

Raspberry Pi has introduced and released the new Raspberry Pi Compute Module 5. I happen to have four Raspberry Pi Compute Module 5 devices on my bench along with a couple of Raspberry Pi Compute ...

Timing devices supply the heartbeat for compact, wirelessly connected IoT devices that can sense, process, and communicate seamlessly with cloud and mobile platforms. These requirements place strict ...