A comprehensive database optimization framework integrating connection pooling, distributed caching, and multi-layer encryption achieves significant performance improvements while establishing robust ...

Abstract: Distributed databases are often used when scalability, fault tolerance, and high availability are crucial. They excel in scenarios where traditional, centralized databases may struggle to ...

The explosive growth of data volume and high-concurrency demands in big data systems exposes critical limitations in traditional database connection modes and access mechanisms. Traditional approaches ...

In a server room in Ashburn, Virginia, thousands of database transactions execute every second, processing healthcare enrollment decisions that determine whether working families can afford medical ...

Oracle Corp. today announced the general availability of Oracle AI Database 26ai and Oracle Autonomous AI Lakehouse, both aimed at supporting artificial intelligence training and inference across ...

New Oracle Autonomous AI Lakehouse supports the Apache Iceberg open table format, enabling customers to use the power of Oracle AI Database for their data lake data "By architecting AI and data ...

The latest version of the Oracle database comes with agent builders and MCP Server integration to help developers embed automation into their workflows. Oracle is doubling down its focus on agentic ...

Abstract: In this paper, we propose a new approach to train deep learning models using game theory concepts including Generative Adversarial Networks (GANs) and Adversarial Training (AT) where we ...