Python’s new JIT compiler might be the biggest speed boost we’ve seen in a while, but it’s not without bumps. Get that news and more, in this week’s report.

Learn the NumPy trick for generating synthetic data that actually behaves like real data.

A new family of Android click-fraud trojans leverages TensorFlow machine learning models to automatically detect and interact ...

Fragmented stacks, hand-coded ETL and static dashboards are dead; AI is forcing data management to finally grow up in 2026.

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

In this article author Sachin Joglekar discusses the transformation of CLI terminals becoming agentic where developers can state goals while the AI agents plan, call tools, iterate, ask for approval ...

This project implements a machine learning-based deformer for Autodesk Maya that automatically predicts corrective blendshapes based on skeletal joint poses. The system learns from artist-provided or ...

Discover proven tips, tools, and approaches to data segmentation that can help identify SEO issues when organic traffic is down. As an SEO, there are few things that stoke panic like seeing a ...

Cybersecurity researchers have discovered vulnerable code in legacy Python packages that could potentially pave the way for a supply chain compromise on the Python Package Index (PyPI) via a domain ...

Short videos are in high demand. Across large platforms like Instagram, Facebook, YouTube, and TikTok, users are watching billions of videos every day, with companies benefiting massively from this ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.