The proof, known to be so hard that a mathematician once offered 10 martinis to whoever could figure it out, uses number ...

The Domain Name System, like most pieces of the internet, was designed to be distributed across many computers. Concentration ...

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Abstract: Graph neural networks (GNNs) could directly deal with the data of graph structure. Current GNNs are confined to the spatial domain and learn real low-dimensional embeddings in graph ...

The proof-of-concept could pave the way for a new class of AI debuggers, making language models more reliable for business-critical applications.

Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what ...

Malicious OAuth apps can hide inside Microsoft 365 tenants. Huntress Labs' Cazadora script helps uncover rogue apps before ...

Abstract: Learning embeddings for entities and relations in knowledge graph (KG) have benefited many downstream tasks. In recent years, scoring functions, the crux of KG learning, have been human ...

A once-dilapidated Georgian-style home, dating back to 1832, is on the market and seeking its next custodian in its almost 200-year-old history. The sprawling homestead was unlivable when it was last ...