In a study published in Frontiers in Science, scientists from Purdue University and the Georgia Institute of Technology ...

Inspired by how our brains function, the AI algorithms referred to in the paper are known as spiking neural networks. A ...

GPU-based sorting algorithms have emerged as a crucial area of research due to their ability to harness the immense parallel processing power inherent in modern graphics processing units. By ...

GPUs, born to push pixels, evolved into the engine of the deep learning revolution and now sit at the center of the AI ...

What if the key to unlocking faster, more efficient AI development wasn’t just in the algorithms you write, but in the hardware you choose? For years, the debate between Google’s Tensor Processing ...

Much attention has been focused in the news on the useful life of graphics processing units, the dominant chips for artificial intelligence. Though the pervasive narrative suggests GPUs have a short ...

Low-density parity-check (LDPC) codes represent one of the most effective error-correcting schemes available, approaching Shannon’s theoretical limit whilst maintaining a relatively low decoding ...

Researchers have successfully demonstrated quantum speedup in kernel-based machine learning. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works.

This change is characterized by the convergence of high-performance computing (HPC) and AI workloads, which is driving ...

Quantum computing exists beyond the realm of science fiction. Technology is now integrating with artificial intelligence to transform machine learning capabilities, adaptation and reasoning abilities.

“Developers and enterprises are building entirely new categories of applications around real-time, personalized, generative ...