A study on vector database and AI integration identifies unstable indexing, weak cross-modal fusion, and rigid resource ...

Abstract: The paper presents the theoretical results on the resource allocation problems with local feasible convex set constraints under strongly connected graphs, where the objective function is non ...

The system simulates how an OS manages resources across multiple processes and handles deadlock scenarios. It is adaptive — it reads the resource configuration at startup and decides which algorithm ...

Dispute resolution has evolved into a parallel justice system that operates alongside courts, regulators and private enterprises. Mediators, ...

Abstract: Graph Neural Networks (GNNs) are inherently capable of modeling interactions dependent on network topology and generalizing to various network sizes through shared layer parameters.

Explore how AI in high-throughput screening improves drug discovery through advanced data analysis, hit identification and ...

IT white papers, webcasts, case studies, and much more - all free to registered TechRepublic members. As someone who has worked closely with small and mid-sized businesses, I see the same challenge ...

Uber Technologies operates a global mobility and logistics platform The company connects riders, drivers, and delivery ecosystems worldwide Its scale reflects participation within the S&P 500 Index ...

PagerDuty delivers real-time digital operations management solutions; Platform integrates machine learning for automated ...