The companies that survive will look less like pyramids and more like swarms: small, autonomous AI-first pods that move and ...

Millions of users work with SQL to keep the gears of their business turning. In an era marked by relentless digital transformation, the proliferation of AI workloads, and tightening regulatory demands ...

When I first wrote “Vector databases: Shiny object syndrome and the case of a missing unicorn” in March 2024, the industry was awash in hype. Vector databases were positioned as the next big thing — a ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. The development of algorithms and machine learning (ML) models ...

The graph database market, driven by AI, is growing at a rate of almost 25% annually. Graph databases support knowledge graphs, providing visual guidance for AI development. There are multiple ...

Abstract: In this paper we propose a new robust water-marking scheme for medical images stored in a distributed database with a hyperbolic structure. Our approach is to first generate a watermark from ...

Organizations are using generative AI to stay ahead of the competition, but the real advantage lies in harnessing the power of your own data securely and at scale. One of the most exciting new ...

Abstract: In order to achieve the optimal structural strength, stiffness and weight, a vehicle body structure design method is proposed. Then this paper proposes an optimization method based on a ...

MongoDB's NoSQL database offers faster query processing and flexibility, making it a strong competitor against SQL databases like Snowflake, especially for AI applications. MongoDB's strategy includes ...

Structured Query Language (SQL) is a domain-specific language used in programming for interacting with relational databases. It enables users to create, read, update, and delete (CRUD) data stored in ...