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 ...

xiàn zài xǐ huan kàn qīng chūn jù ， kàn zhe bié rén de gāo zhōng ， huái niàn zì jǐ de gāo zhōng shēng huó ， suī rán bù rú ...

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 ...

Explore Hilltop (NYSE:HTH) operations in banking, broker-dealer, and mortgage sectors driving Financial Stocks and NYSE ...

Global M2 growth continues to explain more than half of Bitcoin’s price variance, reaffirming Bitcoin’s role as an anti-money ...

I've spent over 25 years working in AI & Digital, and we're past the point of asking if the technology will transform work.

It was only when he was back at the front door of the monastery that he realized there was one place he had not been to., ...

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.

Vistra (NYSE:VST) drives Energy Stocks trends with diversified operations, regional segments, and infrastructure upgrades, ...