Making big data processing more energy efficient using magnetic circuits Date: April 13, 2020 Source: University of Texas at Austin Summary: New research finds that magnetic wires, spaced a ...

The Δ-Motif algorithm leverages open-source libraries such as Pandas and Numpy, and achieves parallel processing on GPUs through NVIDIA's RAPIDS. According to benchmark tests, the algorithm's speed is ...

Photonic integrated circuits (PICs) can enable high-speed data transmission, low-power consumption, and compact size, making ...

Artificial intelligence dramatically improves phased array antenna data processing.

With artificial intelligence algorithms becoming so common, AI hardware in the form of specialized circuits or chips is becoming essential.

In the evolving landscape of data storage, computational storage devices (CSDs) are revolutionizing how we process and store data. By embedding processing capabilities within storage units, these ...

What Is a DPU, or Data Processing Unit, and How Does It Work? The best way to think about a DPU, says Jim McGregor, principal analyst at TIRIAS Research, is as “an internal or overhead workload ...

Rapidus has begun prototyping 2nm gate-all-around transistor structures at its IIM-1 fab in Japan as it prepares for 2027 mass production.

Researchers at the Cockrell School of Engineering at The University of Texas at Austin have found a way to make the new generation of smart computers more energy efficient. "Traditionally, silicon ...