Abstract: This work discusses approximate evaluations of some types of integrals arising in electromagnetic problems. An integral can be transformed into a divergent asymptotic series by replacing the ...
Abstract: In bioinformatics, protein function prediction stands as a fundamental area of research and plays a crucial role in addressing various biological challenges, such as the identification of ...
The new distributed graph architecture promises unified transactional and analytical processing, enabling enterprises to scale real-time decision-making for autonomous workflows. Graph database ...
Think back through your day and consider all the amazing tasks your brain has helped you perform. From brushing your teeth to eating your lunch and reading the words on this page, your thoughts, ...
It’s National Payroll Week in the U.S. and the UK, and while payroll might not be considered the flashiest part of your HCM strategy, it’s one of the most powerful drivers of trust, transparency, and ...
Journal Editorial Report: The Fed Chief signals rate cuts are coming. As we saw during the Covid pandemic, lab-created experiments can wreak havoc when they escape their confines. Once released, they ...
No final decision has been made, but the proposal comes as President Trump increasingly uses the military in various aspects of domestic life. By Charlie Savage John Ismay Helene Cooper Eric Schmitt ...
What can LLMs do for KGs? Or, in other words, what role can KG play in the era of LLMs? 🙌 This repository collects papers integrating knowledge graphs (KGs) and large language models (LLMs). 😎 ...
Context Aware RAG is a flexible library designed to seamlessly integrate into existing data processing workflows to build customized data ingestion and retrieval (RAG) pipelines. With Context Aware ...
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