Abstract: Compared to traditional centralized clustering, distributed clustering offers the advantage of parallel processing of data from different sites, enhancing the efficiency of clustering while ...

Abstract: Quantum computing offers parallel processing capabilities and resource-saving advantages, particularly useful for managing expansive datasets and complex image processing tasks. Grayscale ...

The business of moving goods in the United States is dominated by trucks, which handle about two-thirds of the 20.2 billion tons of freight that’s transported annually. Parallel Systems founder and ...

Modern data workflows are increasingly burdened by growing dataset sizes and the complexity of distributed processing. Many organizations find that traditional systems struggle with long processing ...

With MassiveFold, scientists have unlocked AlphaFold's full potential, making high-confidence protein predictions faster and more accessible, fueling breakthroughs in biology and drug discovery. Brief ...

This manuscript presents the library AI4HPC with its architecture and components. The library enables large-scale trainings of AI models on High-Performance Computing systems. It addresses challenges ...

ABSTRACT: The stock returns are vulnerable to manipulation of peculiar forms. We propose a novel method, the Intelligent Portfolio Performance Optimization System—IPPOS that extracts hidden patterns ...

ABSTRACT: The development of artificial intelligence (AI), particularly deep learning, has made it possible to accelerate and improve the processing of data collected in different fields (commerce, ...

Finnish startup Flow Computing Oy today revealed seemingly outlandish plans to transform the chip industry with a new Parallel Processing Unit that it says can boost the performance of any central ...

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