Statistical testing in Python offers a way to make sure your data is meaningful. It only takes a second to validate your data ...

Zhao, S. (2025) The Impact of ESG Performance of Fund on the Performance-Flow Relationship: An Empirical Evidence in China ...

Research shows wearable sensors can track pregnancy hormones, offering insights into maternal health and early detection of ...

Joseph Alderman et al argue that predictive models in healthcare lack adequate oversight and regulation. They highlight the ...

Older adults who ate more fruits, vegetables, and fish showed higher well-being, especially eudemonic well-being and ...

The textile industry is increasingly recognized as a key pillar in achieving Kenya’s Big Four Agenda and Vision 2030. However ...

The design of sklearn follows the "Swiss Army Knife" principle, integrating six core modules: Data Preprocessing: Similar to ...

As Meta unveils its powerful on-device reasoner, a wider industry trend emerges where small, specialized models are solving enterprise challenges around cost, privacy, and control.

With Magistral 1.2, Mistral continues its dual-path strategy: delivering open, efficient models for developers, while scaling enterprise-ready tools with measurable advantages in reasoning, ...

A recent study shows that 1 in 5 people use AI every day. From the chatbot helping you budget smarter to the recommendations ...

Twenty years after the introduction of the theory, we revisit what it does—and doesn’t—explain. by Clayton M. Christensen, Michael E. Raynor and Rory McDonald Please enjoy this HBR Classic. Clayton M.

I’ve been writing and editing technology articles for more than seven years, most recently as part of PCMag's software team. I am responsible for content in the AI, financial, graphic design, ...