Graph out-of-distribution (OOD) generalization remains a major challenge in graph neural networks (GNNs). Invariant learning, aiming to extract invariant features across varied distributions, has ...

Google-spinoff Waymo is in the midst of expanding its self-driving car fleet into new regions. Waymo touts more than 200 million miles of driving that informs how the vehicles navigate roads, but the ...

Anthropic, one of OpenAI's chief rivals, also released a new coding model today, Claude Opus 4.6. Earlier this week, OpenAI ...

Werkhaus.ai Founder Taylor Hutzel's Book Provides First Comprehensive Framework for Brand Visibility in AI-Powered ...

During the chip shortage, Tesla thrived while Ford waited. The difference? Semantic intelligence that transformed data into ...

Enterprise AI can’t scale without a semantic core. The future of AI infrastructure will be built on semantics, not syntax.

Asana’s new Claude integration embeds project management inside Anthropic’s AI chatbot, turning natural-language chats into ...

MCP is a big deal. This open standard (released by Anthropic in late 2024) is designed to make it simpler and easier for AI ...

Bloom Energy Corporation offers behind-the-meter data center power with tax efficiency and low electricity costs. Check out why BE stock is a buy.

Abstract: Knowledge Graphs (KGs), with their intricate hierarchies and semantic relationships, present unique challenges for graph representation learning, necessitating tailored approaches to ...

Background: Biomedical knowledge graphs (KGs), such as the Data Distillery Knowledge Graph (DDKG), capture known relationships among entities (e.g., genes, diseases, proteins), providing valuable ...