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 ...
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How brain-inspired algorithms could drive down AI energy costs
In a study published in Frontiers in Science, scientists from Purdue University and the Georgia Institute of Technology ...
GPUs, born to push pixels, evolved into the engine of the deep learning revolution and now sit at the center of the AI ...
Inspired by how our brains function, the AI algorithms referred to in the paper are known as spiking neural networks. A ...
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 ...
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 ...
MILPITAS, Calif. — AI compute startup Tsavorite Scalable Intelligence, founded by Intel veterans in 2023, today announced its composable, compute architecture. The Omni Processing Unit (OPU) unifies ...
The computing demands of modern applications, especially those making heavy use of AI, are extending pressure beyond design ...
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 ...
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.
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.
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