Back-to-basics approach can match or outperform AI in language analysis

A new study led by Dr. Andrea Nini at The University of Manchester has found that a grammar-based approach to language ...
New Electronics

Analogue’s AI generation

Analogue engineering still relies heavily on manual intervention, but that is changing with the growing use of AI/ML.
CSO OnlineOpinion

LLM-generated passwords are indefensible. Your codebase may already prove it

Stop letting AI pick your passwords. They follow predictable patterns instead of being truly random, making them easy for ...
Barron's

Technical Stock Analysis: Commonly Used Terms, Defined

This copy is for your personal, non-commercial use only. Distribution and use of this material are governed by our Subscriber Agreement and by copyright law. For non-personal use or to order multiple ...
IEEE

Contrastive self-supervised learning for graph anomaly detection based on local structural pattern

Abstract: Numerous studies have highlighted the growing importance of anomaly detection in attributed networks for uncovering malicious activities, data inconsistencies, and emerging trends.
Frontiers

Nitrogen saturation drives shifts in response patterns of non-structural carbohydrate pools in a meadow steppe after ceasing nitrogen addition

Non-structural carbohydrates (NSC) are widely regarded as a core indicator in studies of plant carbon (C) allocation and C balance, reflecting the dynamic coupling between photosynthetic C supply and ...
GitHub

pattern_causality_py

pattern_causality is a comprehensive Python library that implements the Pattern Causality algorithm for analyzing causal relationships in time series data. This package provides efficient tools for ...