Cedars-Sinai investigators worked with a multi-institutional team to develop a new artificial intelligence framework that can ...

From GPT to Claude to Gemini, model names change fast, but use cases matter more. Here's how I choose the best model for the task at hand.

A decade in product development taught me that strong products don't come from UI or features. It's the data model underneath ...

The Common Law Admission Test (CLAT) 2026 is scheduled to be held on 7th December 2025, and aspirants have already begun ...

Artificial Intelligence in Science Learning within the Framework of Situated Learning Theory: A Qualitative Investigation of Teachers’ Perspectives This study explores how artificial intelligence (AI) ...

Abstract: Database modeling defines the logical design, structure, and specifications for data storage and access within a DataBase Management System (DBMS), a core component of any Information System ...

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, ...