We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

For all the attention on AI-assisted development, from autocomplete tools to systems that generate entire repositories, the conversation remains focused on speed. Everyone is talking about faster ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Large language AI models do not behave with consistency, which is harmless in some business contexts but dangerous in others.

A future with fewer consumer storage and memory options? That looks a lot different than the one I expected—and I now wonder what comes next.

Explore adaptive AI SEO tools of 2026. Intelligent, data-driven systems that learn and refine search performance automatically.

The online information landscape, driven in large part by social media, rewards engagement and is curated by classification ...

This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...

In a re-evaluation of Hockett's foundational features that have long dominated linguistic theory—concepts like "arbitrariness," "duality of patterning," and "displacement"—an international team of ...

Researchers have developed the first scientifically validated "personality test" framework for popular AI chatbots, and have ...

In a re-evaluation of Hockett’s foundational features that have long dominated linguistic theory—concepts like ‘arbitrariness’, ‘duality of patterning’, and ‘displacement’—an international team of ...

Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...