Overview: High TPS alone is not enough; finality and latency define real performance.Parallel processing chains like Aptos ...

For years, GPUs have been the default answer for AI workloads. That made sense. They were already widely available, they were ...

A team of researchers in the Netherlands has proposed a new way of designing computer models of the brain—an approach that ...

Researcher have developed a "Shallow Brain" AI model that mimics the connections between the cortex and subcortical regions, ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released a forward-looking technological achievement: the hybrid quantum-classical three-dimensional ...

Discover why Solana and Monad are leading the parallel execution race in 2026. Learn how their architectures deliver ultra-fast transactions, low fees, and scalable performance for the future of Web3.

Government-funded academic research on parallel computing, stream processing, real-time shading languages, and programmable ...

Abstract: Satellite image classification is crucial for various applications, driving advancements in convolutional neural networks (CNNs). While CNNs have proven effective, deep models often ...

Abstract: A distribution network multi-source data fusion processing method based on big data parallel mining algorithm is proposed to address the issues of low accuracy and efficiency in traditional ...

Memory prices are falling, and stock prices of memory companies took a hit, following news from Google Research of a breakthrough that will greatly reduce the amount of memory needed for AI processing ...

To address the network capability needs of organisations are “ready to transform their networking and security architecture from the ground up”, Cato Networks has announced a modular adoption model ...