A Polish mathematician was left surprised after an AI system solved a problem he had spent 20 years developing.

Soft Computing (SC) is an Artificial Intelligence (AI) approach that is more effective at solving real-life problems than traditional computing models. Soft Computing models are tolerant of partial ...

After years of creating highly specialized software, researchers used supercomputer clusters to finally solve the "100,000-body problem.

Abstract: Real-world constrained multiobjective optimization problems (CMOPs) are prevalent and often come with stringent time-sensitive requirements. However, most contemporary constrained ...

Finding the right information at the right time is critical for solving complex problems. Researchers have developed an algorithm that helps individuals locate needed information more efficiently by ...

First set out in a scientific paper last September, Pathway’s post-transformer architecture, BDH (Dragon hatchling), gives LLMs native reasoning powers with intrinsic memory mechanisms that support ...

Search behavior keeps evolving, and algorithms follow closely behind. In 2026, ranking success depends less on isolated ...

The annotation, recruitment, grounding, display, and won gates determine which content AI engines trust and recommend. Here’s how it works.

In a culture driven by outrage and constant alerts, play may be the simplest way to reclaim focus, resilience, and human ...

In large retail operations, category management teams spend significant time deciding which product goes onto which shelf and in which order. Shelf space is very expensive real estate in retail.