The Arkanix infostealer combines LLM-assisted development with a malware-as-a-service model, using dual language implementations to maximize reach and establish persistence.

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

Get the scoop on the most recent ranking from the Tiobe programming language index, learn a no-fuss way to distribute DIY tooling across Python projects, and take a peek at ComfyUI: interactive, ...

Abstract: Topic modeling is widely used to extract meaningful themes from large text corpora. Typically, it is assumed that all documents contribute equally to topic extraction, ignoring the fact that ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

This desktop app for hosting and running LLMs locally is rough in a few spots, but still useful right out of the box.

A marriage of formal methods and LLMs seeks to harness the strengths of both.

Abstract: This study investigates the academic landscape of green business research in Indonesia through a combined bibliometric and topic modeling approach. A total of 312 articles were retrieved ...

OpenAI may have called GPT-5.2 its "most advanced frontier model for professional work," but tests conducted by the Guardian cast doubt on its credibility. According to the report, OpenAI's GPT-5.2 ...

Python physics explained: tides and their mathematical model. Learn how tidal forces work and how to model them step-by-step in Python using clean math, simple assumptions, and clear visual intuition.

Recent research has highlighted the limitations of the categorical approach to mental disorders and has increasingly supported the development of a transdiagnostic perspective. This emerging approach ...

ABSTRACT: Accurate prediction of water travel time in drip irrigation systems is essential for efficient water and nutrient delivery. This study develops a predictive model for travel time by ...