IEEE

Investigating the Robustness of Graph Neural Networks to Data Drift: A Case Study on Financial Transaction Data

Abstract: The performance of machine learning models in real-world applications is often challenged by data drift, in which the statistical properties of the data evolve over time. This phenomenon is ...

This A.I. Tool Is Going Viral. Five Ways People Are Using It.

Claude Code generates computer code when people type prompts, so those with no coding experience can create their own ...

This plugin uses Wikipedia’s AI-spotting guide to make AI writing sound more human

A ‘Humanizer’ skill for Claude removes phrases and patterns based on a guide that Wikipedians use to spot AI-generated text.
PCMag

New Spotify AI Playlists Use Your History, Cultural Trends to Build Specific Mixes

Spotify is expanding its AI-generated playlists further than ever before with a new tool called Prompted Playlist. The new ...
How-To Geek on MSN

Generate realistic test data in Python fast. No dataset required

Learn the NumPy trick for generating synthetic data that actually behaves like real data.
IEEE

A Visibility Graph Approach for Multi-Stage Classification of Parkinson’s Disease Using Multimodal Data

Abstract: Parkinson’s disease (PD) is a neurodegenerative disorder characterized by several motor symptoms such as resting tremor, muscular rigidity, slowness of movement and different speech ...