As the volume of scientific literature continues to grow, researchers are turning to artificial intelligence to sift through ...

High performance liquid chromatography (HPLC) is a widely used and well-established technique, routinely employed by thousands of analytical scientists worldwide. Nonetheless, certain ...

With Magistral 1.2, Mistral continues its dual-path strategy: delivering open, efficient models for developers, while scaling enterprise-ready tools with measurable advantages in reasoning, ...

According to internet information statistics, the amount of data generated globally is expected to exceed 175ZB this year, ...

As Meta unveils its powerful on-device reasoner, a wider industry trend emerges where small, specialized models are solving enterprise challenges around cost, privacy, and control.

Abstract: Traffic data contains deep domain-specific knowledge, making labeling challenging, and the lack of labeled data adversely impacts the accuracy of learning-based traffic analysis. The ...

Padmaja brings over a decade of experience leading the design and optimization of data infrastructure in the demanding semiconductor industry.

In the context of accelerating domestic substitution, enterprises are increasingly focused on migration costs and practical implementation effects when selecting databases. This article focuses on ...

More companies are moving to integrate custom AI agents into business operations. Here are eight essential capabilities to ...

This project demonstrates a comprehensive data warehousing and analytics solution, from building a data warehouse to generating actionable insights. Designed as a portfolio project, it highlights ...

We propose HtmlRAG, which uses HTML instead of plain text as the format of external knowledge in RAG systems. To tackle the long context brought by HTML, we propose Lossless HTML Cleaning and Two-Step ...