Key Takeaways OpenAI's breakthrough started with brain-inspired networks everyone can learnFinancial institutions pay ...

Artificial intelligence (AI) has become part of the daily lexicon, and an endless stream of media reports assert that AI either has affected or will affect most aspects of human life. What is AI and ...

Finally, the text information is classified by using KNN algorithm combined with heuristic search and fuzzy distance measurement. The experimental results show that this method effectively solves the ...

Industries from retail to finance are using clustering to personalize services, detect fraud, monitor equipment and improve ...

Teaching AI to explore its surroundings is a bit like teaching a robot to find treasure in a vast maze—it needs to try different paths, but some lead nowhere. In many real-world challenges, like ...

This discovery-driven proteomics study of a pediatric population - including rare diseases - introduces a SNOMED CT-guided ...

Abstract: In this paper, a new clustering algorithm is proposed based on cross clusters without using membership functions. In light of the cross clustering data transformation, the spatial ...

Impact Statement: Traditional K-Nearest Neighbor (kNN) algorithms rely on real-number-based distance metrics, which can struggle to capture complex, nonlinear relationships between features in ...