1. Deep Semantic Reconstruction: Breaking Through the Limits of Surface Expression Many users tend to directly copy and paste the output results when using AI-generated content, which is a major ...

Wang, S. (2025) A Review of Agent Data Evaluation: Status, Challenges, and Future Prospects as of 2025. Journal of Software ...

DeepSeek says its R1 model did not learn by copying examples generated by other LLMs. Credit: David Talukdar/ZUMA via Alamy ...

Google researchers unveil VaultGemma, an LLM designed to generate high-quality outputs without memorizing training data. Here's how it works.

There are a lot of folks in the community saying that implementing structured data / schema on your pages will help you with ...

Combining data with next-generation connectivity and emerging technologies can boost productivity, improve citizens' health and wellbeing, and enhance public services.

Security can no longer live at the edge. Visibility into data and AI usage is essential to reduce risk and enable responsible ...

We're about to get a heavy helping of MCP from the keynote stage, as fuel for the agentic AI buzz. But why MCP? Why is ...

Breaking Through the Limitations of Surface Expression Many users tend to directly copy and paste the output results when using AI-generated content, which undoubtedly contributes to the high AIGC ...

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.

Co-authored by Shamnad Mohamed Shaffi of Amazon Web Services, Sunish Vengathattil of Clarivate Analytics, and Jinal Mehta of Amazon, the study explores how a cutting-edge data lakehouse architecture ...

Progress Software, the trusted provider of AI-powered digital experience and infrastructure software, is launching Progress Agentic RAG, a SaaS Retrieval-Augmented Generation (RAG) platform designed ...