For decades, data centers were designed with permanence in mind: fixed plans, rigid shapes and predictable life cycles.

An emerging approach in AI innovation is hybrid AI, which combines the scalability of machine learning (ML) with the ...

The protocol offers a standardized framework that defines how AI systems securely connect with trusted, validated knowledge ...

Cyber threats don’t just hit your systems — they move through your connections. The ULM shows how those hidden links fuel ...

Tesla Inc. (NASDAQ:TSLA) continues to see sales pressure for its electric vehicles in the Chinese market. A new report indicates that the introduction of a new vehicle from a growing rival in the ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

Data are a crucial asset for organizations, making it essential for database designers to effectively organize and manage data using DataBase Management Systems (DBMS). DataBase design Concepts (DBCs) ...

Database modeling by creating an E-R diagram and a logical model for RPG game. The goal is to understand how to design tables, relationships, and attributes for future database development.

When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...