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 ...
Solutions stack includes customizable reference designs for popular embedded vision use cases such as image sensor bridging, aggregation, splitting, and processing Includes support for new Lattice ...
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.
Core Electronics discuss five fantastic ways to harness the potential of the Pi 500 Plus. From building a portable media ...
Targeting system-on-a-chip (SoC) applications, the company’s latest embedded DRAM operates at 1.2V and features a typical random access speed of up to 314 MHz with one clock latency and a typical page ...
New Accelerated Processing Unit (APU) ideal for industrial control, point-of-sale, medical appliance and transportation markets. Said to deliver three times the performance, reduce power consumption ...
Dr. Lewis’ presentation, titled “State-Space Models vs Transformers at the Extreme Edge: Architectural Choices for Low Power AI,” will examine the trade-offs and opportunities in designing AI models ...
Considering the importance of conservation, the portability of embedded systems is a key design consideration. Portable systems are generally battery-powered with battery life dependent upon the ...
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