Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks (GNNs)—AI systems used in applications from drug discovery to weather ...

AI investment is skyrocketing while AI’s impact on jobs and public perception remains mixed ...

AI recommendations depend on relational knowledge, not just content. Here’s why your brand may be missing and how to fix it ...

The ID Privacy AI Automotive Intelligence Operating System, including the Self-Healing Agentic Intelligence Graph, is available now for automotive retailers, dealer groups, and OEM partners. The ...

Rainfall data across the Corn Belt reveals highly variable periods that impact planting, silking and hybrid management.

Obsidian Note Taking with linked notes, graph view analysis, and local-first note app features to build a powerful Markdown ...

Neo4j’s Suhail Gulzar explains why graphs are gaining traction in India for grounding GenAI with context, detecting networked fraud threats and enabling auditable data lineage. Enterprises are ...

Developers use 5+ AI tools every day -- Claude Code, ChatGPT, Cursor, Copilot, Grok, DeepSeek, Warp. Each session is an isolated silo. Knowledge dies when the tab closes. You have solved the same ...

The translation of India's extensive traditional knowledge on indigenous medicinal plants into modern therapeutic solutions is contingent upon a systematic framework. While traditional Indian medicine ...

Abstract: Graph database engines play a pivotal role in efficiently storing and managing graph data across various domains, including bioinformatics, knowledge graphs, and recommender systems. Graph ...