Background Up to half of patients with infective endocarditis (IE) require cardiac surgery. Although anaemia is common, its ...

Abstract: This review article provides a thorough assessment of modern and innovative algorithms for text classification through both observational and experimental evaluations. We propose a new ...

The successful application of large-scale transformer models in Natural Language Processing (NLP) is often hindered by the substantial computational cost and data requirements of full fine-tuning.

1 Department of Computer Science, Rochester Institute of Technology, Rochester, USA. 2 Department of Computer Science, Rutgers University, New Brunswick, USA. Language identification is a fundamental ...

WASHINGTON, Sept 15 (Reuters) - The Labor Department's Bureau of Labor Statistics, under fire for recent sharp downward revisions to U.S. nonfarm payrolls and reductions to inflation data collection, ...

LangGraph is a powerful framework by LangChain designed for creating stateful, multi-actor applications with LLMs. It provides the structure and tools needed to build sophisticated AI agents through a ...

For the most part, voting patterns across demographic groups in the 2024 presidential election were not substantially different from the 2020 and 2016 elections. But Donald Trump’s gains among several ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Traditional caching fails to stop "thundering ...

May 21 (Reuters) - One person you wouldn’t expect to hear tout a statistical fallacy is Warren Buffett, but the legendary investor appeared to do just that at the recent Berkshire Hathaway (BRKa.N), ...