Abstract: Topic modeling has emerged as a vital tool for extracting interpretable topics from large volumes of textual data. Although topic modeling techniques have evolved from the word ...

Most engineering teams treat proxy costs as a fixed line item - something to budget once and forget. That assumption holds up until a scraping campaign finishes early, a pipeline pauses for QA, or a ...

Whether you are looking for an LLM with more safety guardrails or one completely without them, someone has probably built it.

Researchers at the University at Albany and Rutgers University have developed an early-warning framework that can predict ...

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

Modeling superpower Tyra Banks has spawned yet another wave of fiery discourse about 2000s reality TV, after sitting for a new no holds barred docuseries about the notorious America's Next Top Model ...

Explore non-trivial 1D square wells in Python with this detailed physics tutorial! 🐍⚛️ Learn how to model quantum systems, analyze energy levels, and visualize wave functions using Python simulations ...

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 ...

Abstract: This study presents a comprehensive scientometric analysis of the research of abstract-based short text topic modeling. Drawing upon 701 documents retrieved from the Web of Science Core ...

This video demonstrates how to model rigid objects using springs in a Python physics simulation. We explore how spring forces approximate rigidity, analyze motion and stability, and visualize the ...

1910 is on a mission to “make undruggable targets a thing of the past” by “turning every pharma company into an AI company,” says founder and CEO, Jen Asher, PhD. The Sam Altman–backed AI drug ...

A collaborative mini-research project analyzing Wasserstein GANs (WGANs) through extensive literature review and experimental evaluation. Explores training stability, loss behavior, gradient penalties ...