Wondering where to find data for your Python data science projects? Find out why Kaggle is my go-to and how I explore data with Python.

Hillman highlights Teradata’s interoperability with AWS, Python-in-SQL, minimal data movement, open table formats, feature ...

Sophie Koonin discusses the realities of large-scale technical migrations, using Monzo’s shift to TypeScript as a roadmap.

The results were fascinating, impressive, and sometimes surprisingly bad. Here are five tips that can help you get better results faster.

Google rolls out Canvas in AI Mode across the US, adding a side panel workspace in Search for building plans, dashboards, and interactive tools.

The Evo2 genomic language model can generate short genome sequences, but scientists say further advances are needed to write ...

Abstract: The recently developed approach to motion planning in graphs of convex sets (GCS) provides an efficient framework for computing shortest-distance collision-free paths using convex ...

Experimental - This project is still in development, and not ready for the prime time. A minimal, secure Python interpreter written in Rust for use by AI. Monty avoids the cost, latency, complexity ...

Overview:Structured books help in building a step-by-step understanding of analytics concepts and techniques.Visualisation ...

AI models still lose track of who is who and what's happening in a movie. A new system orchestrates face recognition and staged summarization, keeping characters straight, and plots coherent across ...

Explore the leading data orchestration platforms for 2026 with quick comparisons, practical selection tips, and implementation guidance to keep your data pipelines reliable and scalable.

AT&T's chief data officer shares how rearchitecting around small language models and multi-agent stacks cut AI costs by 90% at 8 billion tokens a day.