A Guardian investigation into the U.S. overdose slowdown found that national declines masked sharp local disparities. Here's how the reporting team got the story.

Claude Sonnet 4.6 beats Opus in agentic tasks, adds 1 million context, and excels in finance and automation, all at one-fifth ...

The open Battery Data Format standard for battery testing data enables researchers, designers, and manufacturers, as well as ...

Overview Pandas continues to be a core Python skill in 2026, powering data analysis, cleaning, and engineering workflows ...

Sophelio Introduces the Data Fusion Labeler (dFL) for Multimodal Time-Series Data - The only labeling and harmonization ...

An AI lab called Fundamental emerged from stealth on Thursday, offering a new foundation model to solve an old problem: how to draw insights from the huge quantities of structured data produced by ...

Discover the best AI content detectors in 2026. Compare Winston AI, GPTZero, Originality.AI, and more for accuracy, trust, ...

Methods: This retrospective longitudinal time-series study used a big data-driven interpretable machine learning approach to analyze global multifaceted data across 38 countries from pandemic onset ...

SmurphCast – percentage‑first time‑series forecasting (churn, CTR, conversion, retention) with additive + GBM + ES‑RNN stacking and automatic model selection. 100 % Python, CPU‑friendly, explainable.

Credit: Image generated by VentureBeat with FLUX-pro-1.1-ultra A quiet revolution is reshaping enterprise data engineering. Python developers are building production data pipelines in minutes using ...