Japan's largest pharma event returns May 2026 with 320 sessions spanning manufacturing, quality, CMC, and digital transformation.

As large language models (LLMs) gain momentum worldwide, there’s a growing need for reliable ways to measure their performance. Benchmarks that evaluate LLM outputs allow developers to track ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Ludi Akue discusses how the tech sector’s ...

Alconost, a localization company working with a network of 3,500+ professional linguists across more than 120 language pairs, today announced the launch of the Alconost MQM Annotation Tool, a free, ...

Abstract: Statistical Machine Translation (SMT) is the mapping between a source language and a target language from parallel corpora which are sets of texts in both languages that are aligned at the ...

ABSTRACT: Machine translation as one of the important applications in the field of artificial intelligence, plays a crucial role in cross-lingual communication and information transmission. However, ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

Objective: This study aims to develop an explainable machine learning model, incorporating stacking techniques, to predict the occurrence of liver injury in patients with sepsis and provide decision ...

NiuTrans.SMT is an open-source statistical machine translation system developed by the joint team from the Natural Language Processing Lab. at Northeastern University and the YaTrans Co.,Ltd. The ...

Stroke remains one of the leading causes of global mortality and long-term disability, driving the urgent need for accurate and early risk prediction tools. Traditional models such as the Framingham ...