Abstract: This paper discusses the design and implementation of parallel processing algorithm for big data under the framework of high performance computing (HPC). In the design of parallel processing ...
Abstract: Domain shifts between samples acquired with different instruments are one of the major challenges in accurate segmentation of Optical Coherence Tomography (OCT) images. Given that OCT images ...
polars-bloomberg is a Python library that extracts Bloomberg's financial data directly into Polars DataFrames. If you’re a quant financial analyst, data scientist, or quant developer working in ...
Researchers at Microsoft have created a data-storage system that can remain readable for at least 10,000 years — and probably much longer. In the digital age, the need for data storage is ballooning.
In case you had any doubt, Elon Musk’s X has an algorithm that favors conservative content posted by political activists over liberal content or posts by traditional news media accounts, according to ...
Long-term preservation of digital information has long challenged archivists and datacenters, as magnetic tapes and hard drives degrade within decades. Existing archival storage solutions have limited ...
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