Cognitive scientists have long attempted to explain emotional processes using models that vary in complexity. These span very ...

ChatGPT ‘Thinking’ mode hits 94% reasoning — 7 prompts it solves that others can’t ...

As the way of managing enterprise data assets evolves from simple accumulation to value extraction, the role of AI has shifted accordingly: it is no longer limited to basic data processing and ...

These visual puzzles are trickier than you expect… 👀In this set of 28 visual patterns, you’ll face challenges inspired by ...

Abstract: Large Language Models excel at complex reasoning but suffer from single-agent limitations such as fixed reasoning patterns and hallucinations. While multi-agent debate frameworks can ...

New suite of purpose-built agents tackles root cause diagnosis, maintenance optimization, process optimization, and hazard assessment-addressing the industry's most expertise-intensive challenges ...

This paper addresses the domain generalization (DG) problem in deep learning. While most DG methods focus on enforcing visual feature invariance, we leverage the reasoning capability of multimodal ...

Self-improving AI agents are poised to become a pivotal force in the evolution of artificial intelligence. These systems, capable of refining their own algorithms and learning processes, represent a ...

Szűcsi, located in Heves County, Hungary, reveals a striking natural abstraction when viewed from above. Along its wetlands and shallow waters, reeds, sediment, and seasonal ice form organic shapes ...

Reasoning about others’ thoughts, emotions, or intentions is a sophisticated human ability. Modelling such a complex phenomenon with limited available resources is a challenging pursuit. This work ...

According to God of Prompt on Twitter, the implementation of verification loops in AI models—where the system recursively checks its answers using different reasoning modes such as backward ...