Newelle turns your Linux GNOME desktop into a smart assistant with AI chat, voice commands, mini apps, and document search.

This illustrates a widespread problem affecting large language models (LLMs): even when an English-language version passes a safety test, it can still hallucinate dangerous misinformation in other ...

This release is good for developers building long-context applications, real-time reasoning agents, or those seeking to reduce GPU costs in high-volume production environments.

The visual link operating system now adds AI context, smart reminders, and an accountability layer that turns saved ...

Abstract: The integration of large language models (LLMs) into educational systems poses significant challenges across several key attributes, including integration, explainability, testability, and ...

REC-R1 is a general framework that bridges generative large language models (LLMs) and recommendation systems via reinforcement learning. Check the paper here.

Abstract: Recommender systems (RSs) are fundamental tools that address data redundancy and serve as intelligent supplements for tasks such as data retrieval and refinement by analyzing user behavior.

Moreover, we discuss strategies for metadata selection and human evaluation to ensure the quality and effectiveness of ITDs. By integrating these elements, this tutorial provides a structured ...

As Agentic AI continues to roll out across many functions in Communications Service Providers (CSPs), the Model Context Protocol (MCP) is poised to become a major topic in 2026. Introduced by ...