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 ...

Generally, a system on a chip (SoC) supports more low-power modes compared to a traditional multipoint control (MCU). The reason for this is that due to the high level of integration, they have more ...

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 ...