Electrical and computer engineers at North Carolina State University have developed a new technique for creating less-expensive, low-power embedded computing devices useful in everything from ...

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.

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, ...

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 ...

BrainChip Holdings Ltd (ASX: BRN, OTCQX: BRCHF, ADR: BCHPY), the world’s first commercial producer of ultra-low power, fully digital, event-based neuromorphic AI, today announced that Dr. M. Anthony ...

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 ...

Undertaking the design of a system-on-a-chip (SoC) is complex enough on its own merits. As is ever more the case, when power consumption is the primary design constraint, it becomes a task of enormous ...

It might surprise you that only about 44% of embedded systems projects are delivered on time. Despite technological advancements and project management techniques, that percentage has changed very ...