IEEE

An Evaluation Metric for Assessing Summary-Level Semantic Similarity in Abstractive Text Summarization

Abstract: Abstractive text summarization focuses on producing summaries that retain the most critical information from the original document. ROUGE is a widely used metric for evaluating summarization ...

The best AI chatbots of 2026: I tested ChatGPT, Copilot, and others to find the top tools around

The best AI chatbots of 2026: I tested ChatGPT, Copilot, and others to find the top tools around ...

Beyond the lakehouse: Fundamental's NEXUS bypasses manual ETL with a native foundation model for tabular data

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.

Fundamental emerges from stealth with first major foundation model trained for tabular data

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...
InfoWorld

What is context engineering? And why it’s the new AI architecture

While some consider prompting is a manual hack, context Engineering is a scalable discipline. Learn how to build AI systems that manage their own information flow using MCP and context caching.
IEEE

Next-Generation Text Summarization: A T5-LSTM FusionNet Hybrid Approach for Psychological Data

Abstract: Automatic text summarization (ATS) has developed as a vital method for compressing massive amounts of textual content into concise and useful summaries, to retrieve more effective and useful ...