Neo4j also trumpeted the value of graphs as vector databases used in generative artificial intelligence. AI training requires ...

A high-performance AI framework enhances anomaly detection in industrial systems using optimized Graph Deviation Networks and graph attention mechanisms. Delivering 97% faster detection and improved ...

The core of this patent lies in the construction of an AI-based automated architectural structure design method. Specifically, this method involves collecting architectural design task data, ...

Jim Morris, solution engineer, Progress, and Stephen Reed, senior account manager, Progress, joined DBTA's webinar, Building Knowledge Graphs to Power Your AI Initiatives, to examine how knowledge ...

ServiceNow integrates XM Cyber attack graphing, adding a fourth risk dimension to prioritize exposures and protect critical ...

By structurally storing multi-source heterogeneous data, this intelligent agent effectively addresses the issue of cross-domain data silos, allowing for the reuse and sharing of specialized knowledge.

Google DeepMind and Intrinsic developed AI that uses graph neural networks and reinforcement learning to automate multi-robot ...

Essentially all cells in an organism's body have the same genetic blueprint, or genome, but the set of genes that are ...

From an initial $0.01, $BFX has already doubled to $0.022, with weekly price hikes baked in until its confirmed $0.05 launch. Over $6.79 million has poured in from 7,790 participants, making it one of ...

Judge Amit Mehta mandated Google to share both raw and user-side search data with rivals to foster competition in the search ...

Amazon introduced its new Nova family of AI models, which includes text, image, and video generation capabilities with ...

Weave Network Topology Agent from Articul8 ingests network logs, configuration files, and traffic data and transforms it into ...