This article will examine the practical pitfalls and limitations observed when engineers use modern coding agents for real enterprise work, addressing the more complex issues around integration, ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

A hybrid geothermal–biomass system integrates multigeneration heating, cooling, and power through thermodynamic and economic optimization.

Understanding the core principles of computer programming is the first step to writing effective code. Learning about ...

Now generally available, latest update to the Kotlin language includes a checker for unused return values and a host of other ...

Newer languages might soak up all the glory, but these die-hard languages have their place. Here are eight languages ...

Weekly roundup exploring how cyber threats, AI misuse, and digital deception are reshaping global security trends.

Abstract: Surrogate-assisted evolutionary algorithms (SAEAs) have gained increasing attention for addressing expensive many-objective optimization problems (EMaOPs). Generally, the same type of ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...

Abstract: In tunnel geological forecasting, the electrical resistivity inversion method is extensively employed due to its high sensitivity to water-bearing bodies. Traditional inversion methods, such ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...