As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

The database is no longer just where data lives, but where context gets assembled – and in AI, context is everything.

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...

Asana’s new Claude integration embeds project management inside Anthropic’s AI chatbot, turning natural-language chats into structured work while positioning Asana’s Work Graph as the enterprise ...

In collaboration with IBM Research, a process for automated visual inspection was developed. The core of the project is based on knowledge transfer. The IBM team used an AI model that was originally ...

Oracle Database 26ai embeds AI capabilities directly into production databases, enabling enterprises to deploy AI securely without moving data to external platforms.

Strike Graph, the AI-native compliance management platform, today celebrates the growing adoption of Enterprise Workspaces, a new capability that enables organizations to govern compliance across ...

Even after hospitals strip out names and zip codes, modern AI can sometime still work out who patients are. Great news for insurance companies; not so much for healthcare recipients. New research from ...

The findings suggest that advanced AI models, when designed to reflect real-world system interdependencies, can reduce the digital divide in urban resilience planning. Rather than benefiting only data ...

Learn how frameworks like Solid, Svelte, and Angular are using the Signals pattern to deliver reactive state without the ...

Altss, the allocator intelligence platform built on open-source intelligence methodology, today announced the general availability of Institutional LP Coverage — expanding its verified dataset to ...