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 ...

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Researchers at Tohoku University have shown that linking quantum sensors in optimized networks can dramatically boost their sensitivity. Uncovering dark matter, the invisible substance thought to bind ...

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Abstract: A parallel simulation that partitions a large circuit into sub-circuits is widely used to reduce simulation runtime. To achieve higher simulation throughput, we shall consider signal ...

SMDA is a minimalist recursive disassembler library that is optimized for accurate Control Flow Graph (CFG) recovery from memory dumps.

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