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 ...

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 ...

Lyric Semiconductor has developed an alternative to digital computing. The company is redesigning processing circuits from the ground up to natively process probabilities -- from the gate circuits to ...

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

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 ...

Nvidia is also offering a more powerful, second edition of the DPU called the BlueField-2X that adds in graphics processing circuits based on the Ampere architecture powering its flagship GPUs.

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