DuckDB has recently introduced end-to-end interaction with Iceberg REST Catalogs directly within a browser tab, requiring no ...

AI data trainers who ensure the accuracy and viability of training data going into AI models are well-compensated, in-demand professionals. Two new studies projected potential annual incomes ranging ...

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 ...

In this tutorial, we create a fully interactive, visually compelling data visualization dashboard using Bokeh. We start by turning raw data into insightful plots, then enhance them with features such ...

Objective: To develop an automated machine learning (AutoML)-based prognostic prediction model and visualization system for autologous costal cartilage rhinoplasty (ACCR), addressing the clinical ...

Abstract: With the widespread adoption of complex SQL queries in modern data environments, traditional data lineage tools face challenges in parsing accuracy and coverage, struggling to meet the ...

According to Chris Olah, a renowned AI researcher, a new AI interpretability toolkit has been launched to enhance transparency in deep learning models (source: Chris Olah's Twitter, August 8, 2025).

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) ...

This project explores global life expectancy trends using the Analyst Builder platform. It showcases interactive dashboards and visual analytics to uncover relationships between life expectancy and ...