Set similarity joins represent a critical operation in modern data management by efficiently identifying pairs of data objects—typically sets—that exhibit a similarity above a defined threshold. Such ...
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Machine learning algorithm enables faster, more accurate predictions on small tabular data sets
Filling gaps in data sets or identifying outliers—that's the domain of the machine learning algorithm TabPFN, developed by a team led by Prof. Dr. Frank Hutter from the University of Freiburg. This ...
This new technical paper titled “Symmetric Cryptography on RISC-V: Performance Evaluation of Standardized Algorithms” was published by researchers at Intel, North Arizona University and Google, with ...
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