Abstract: To address the problem of data sparsity in recommendation systems, various studies have used knowledge graphs as auxiliary information. These studies have employed multitask learning (MTL) ...

Nvidia's Nemotron 3 Ultra tops every American open-weight AI system by a wide margin—but still trails the Chinese-led ...

In mid-May, OpenAI announced that an internal AI model had disproved the Erdős unit distance conjecture, a famous problem in ...

A surprisingly powerful partnership ...

The consumer price index rose 3.8% year over year in April 2026, up from 3.3% in March, according to the Bureau of Labor Statistics. The Iran war caused oil prices to spike, which then caused prices ...

Abstract: Knowledge graph embedding is efficient method for reasoning over known facts and inferring missing links. Existing methods are mainly triplet-based or graph-based. Triplet-based approaches ...

Obsidian Note Taking reshapes how information is captured, connected, and rediscovered by turning simple Markdown files into a dynamic, interconnected system. Instead of isolating notes in folders, ...

Sign of the times: An AI agent autonomously wrote and published a personalized attack article against an open-source software maintainer after he rejected its code contribution. It might be the first ...

What if you could transform overwhelming, disconnected datasets into a living, breathing map of relationships, one that not only organizes your data but also reveals insights you didn’t even know you ...

For a long time, universities worked off a simple idea: knowledge was scarce. You paid for tuition, showed up to lectures, completed assignments and eventually earned a credential. That process did ...