Researchers have developed AdapGNN, a novel model-agnostic framework that addresses the oversmoothing problem in graph neural ...

A new framework called SkillWeaver tackles AI agent tool routing by skipping full-library loading, cutting token use 99% on ...

Abstract: Graph neural networks (GNNs) have recently emerged as a promising approach for solving few-shot learning (FSL) problems, enabling generalization to new categories by establishing ...

Abstract: Knowledge representation learning (KRL) aims to encode entities and relationships in various knowledge graphs into low-dimensional continuous vectors. It is popularly used in knowledge graph ...

Key Takeaways Professional traders most commonly run 4 to 6 monitors - active day traders tend to use 4-6 screens, while ...

NUS researchers' MRAgent framework reduces LLM agent memory retrieval to 118K tokens per query — vs. 3.26M for LangMem — ...

AI is not inherently unsafe, but most organizations have not yet built the guardrails required for autonomous systems.

The speakers discuss Netflix’s architecture for surviving extreme traffic spikes. They explain the mechanics of prioritized ...

Some advanced metrics suggest the Cowboys can still improve their passing game further.

I've long struggled to find a comprehensive Google News alternative, and after using Kagi News for a week, I think I've ...

Multi-location brands must adapt to fragmented search visibility across Google, Maps, AI assistants, and social platforms.

US stocks rebound with the three major indexes (^DJI,^GSPC, ^IXIC) in the green, recovering from the Federal Reserve’s more ...