Abstract: The creation of data-driven models for classification problems requires increasing transparency and inferential explainability, especially in high-stakes domains such as health-care, finance ...

Gravity is usually presented as the most familiar of nature’s forces, the quiet background pull that keeps feet on sidewalks ...

In 2026, contextual memory will no longer be a novel technique; it will become table stakes for many operational agentic AI ...

Proof of History explains how blockchains cryptographically track time to order transactions efficiently and scale without ...

A new theoretical study argues that many standard beliefs about consciousness are rooted in a misleading concept of how the ...

You're trying to take a photo on your phone, the preview looks perfect—natural light, accurate colors, genuine texture. You ...

A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...

A biologically grounded computational model built to mimic real neural circuits, not trained on animal data, learned a visual categorization task just as actual lab animals do, matching their accuracy ...

A new ‘biomimetic’ model of brain circuits and function at multiple scales produced naturalistic dynamics and learning, and ...

Waymo’s valuation tops $100 billion as robotaxi rides surge and autonomous miles hit new records, positioning Alphabet for ...

Discover how Coupler.io enables accurate AI-powered data analysis through ChatGPT, Claude, and other AI tools with over 400 source integrations and verified results.

Why classical education matters in the age of AI technology. Experts warn machines cannot replace human judgment, wisdom, and moral reasoning in society.