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 ...
Tech Xplore on MSN
AI teaches itself and outperforms human-designed algorithms
Like humans, artificial intelligence learns by trial and error, but traditionally, it requires humans to set the ball rolling by designing the algorithms and rules that govern the learning process.
The research unit will be tasked with auditing the AI-backed algorithms used by large technology firms such as Google and Meta. The European Commission has launched a new research unit that will ...
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