A new knowledge distillation method compresses large pre-trained models into lightweight detectors that identify ...

A Hugging Face model loaded with trust_remote_code ran a cryptominer, and in some builds a reverse shell. Every scanner ...

If you want to compete, you need to be multi-model. And if you want to take advantage of everything that different AI models have to offer, you need a great harness. But building one that works ...

GitHub's Octoverse 2026 report shows developer activity more than tripled in two years, with AI coding agents now starting ...

Python libraries that replace hundreds of lines of custom code. LiteLLM, Instructor, Tenacity, and 5 more I use in every ...

Researchers have released bryne, an open-source Python framework built on DUNE-FEM that turns rapid finite element prototypes into reusable, metadata-rich and reproducible multiphysics simulations.

Build a Python drift monitor with SciPy and Evidently, then test five scenarios showing why data drift doesn't always mean ...

Learn seven design patterns for data science code, from Strategy and Adapter to Command and Proxy, each matched to the ...

One of the representative algorithms in machine learning is the decision tree.A decision tree is a method that makes ...

The Industrial Ontologies Foundry (IOF) for manufacturing is attractive, but thinking, "I want to register my company's ...

Neo4j  today announced the Neo4j Context Engine, which allows companies to rapidly create the knowledge layer, a re-usable, ...

Our NER pipeline, despite its simplicity in setup, did a pretty good job.