Oracles are a critical component enabling smart contracts to interact with the real world. Acting as a bridge between blockchains and external systems, oracles allow decentralized applications (DApps) ...

title Eliminate Nested Quote Escaping in Oracle 19c Using the Q Operator meta_title Oracle 19c Q Operator: Eliminate Escaped Quotes in PL/SQL description Learn how to use the Oracle native Q operator ...

Follow this author to personalize your feed and get instant alerts. WHY FOLLOW? Update your preferences in Account Settings Correspondent Oracle chairman and CTO Larry Ellison at the White House in ...

Explore how Madhava Rao Thota is driving innovation in AI, cloud computing, and enterprise database transformation in 2026, helping organizations accelerate digital transformation, scalability, ...

Oracle is joining a growing wave of tech companies cutting jobs as they pour billions into artificial intelligence. This morning, the company began implementing sweeping layoffs across multiple ...

Oracle's stock soared after a report of a cloud contract with OpenAI and an optimistic forecast for its AI-driven cloud infrastructure. The company projects aggressive eight-fold growth in cloud ...

Oracle Health is using its data and technology muscle to move out ahead in the healthcare AI arms race. Electronic health record companies are moving quickly to integrate AI tools into their platforms ...

Vinish Kapoor is an Oracle ACE Pro, software developer, and founder of Vinish.dev, known for his expertise in Oracle. Vinish Kapoor is an Oracle ACE Pro, software developer, and founder of Vinish.dev, ...

Oracle reported results that exceeded estimates for the previous quarter. CEO Safra Catz said cloud infrastructure revenue will increase more than 70% in the 2026 fiscal year, up from 50% growth in ...

Natural language interface to databases is a growing focus within artificial intelligence, particularly because it allows users to interact with structured databases using plain human language. This ...

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 ...