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.

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 ...

Embedded systems have become a cornerstone of modern technology, powering everything from IoT devices to automotive control systems. These specialized systems rely on software that is lightweight, ...

Eta Compute and Edge Impulse will co-host a free webinar on March 31 to demonstrate the powerful advantages of the AI Vision Board and Edge Impulse’s embedded machine learning workflow. WESTLAKE ...

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 low-power sensor node framework combines sensing and machine learning, with the potential to enhance real-time environmental monitoring while optimizing energy efficiency.

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 ...

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 ...