Background Patients with severe aortic stenosis (AS) are at high risk of mortality, regardless of symptom status. Despite ...

To help professionals build these capabilities, we have curated a list of the best applied AI and data science courses.

I'm not a programmer, but I tried four vibe coding tools to see if I could build anything at all on my own. Here's what I did and did not accomplish.

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

Continuous tech-debt monitoring & governance Tech debt removal is typically reactive and ad-hoc exercise. AI can help run periodic scans, update debt scores, and feed insights into tech governance ...

SlimToolkit helps shrink Docker images safely, keeping only required files to improve performance, speed, and storage efficiency.

Overview Data science roles are expanding as AI tools handle more routine work.Foundation models are replacing task-by-task ...

Discover 17 new Excel features and functions for 2026, so you track edits and data faster. Including auto-refreshing pivots ...

A sophisticated, cross-platform keylogger written in Python with advanced features including AES-256 encryption, silent background operation, automatic startup/restart capabilities, and daily log ...

Abstract: Human trafficking is a serious problem that requires new ideas and data-driven approaches to identify and solve. In this study, we analyze large datasets to identify patterns and anomalies ...

Abstract: Social media platforms, particularly Twitter, have become vital sources for understanding public sentiment due to the rapid, large-scale generation of user opinions. Sentiment analysis of ...

Simplify complex datasets using Principal Component Analysis (PCA) in Python. Great for dimensionality reduction and ...