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 ...

Unsupervised Learning Market is projected to expand from USD 4.86 billion in 2025 to USD 49.80 billion by 2035, registering a CAGR of 26.20% ...

Researchers report that the integration of machine learning and Internet of Things (IoT) technologies is enabling a new generation of intelligent industrial environments capable of real-time ...

Kennesaw State University (KSU) is stepping into the future of workforce-ready education with the launch of a new Bachelor’s degree in Artificial Intelligence beginning in Fall 2026. As AI rapidly ...

Art made with AI is selling for over $1 million and being embraced by some of the world's most prestigious museums, but ...

Abstract: Machine learning is a branch of computer science, which oversees the study and construction of algorithms that learn from data. Out of the various machine-learning concepts, this paper talks ...

Unsupervised learning is a branch of machine learning that focuses on analyzing unlabeled data to uncover hidden patterns, structures, and relationships. Unlike supervised learning, which requires pre ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

A recent study published in Engineering utilized machine learning to identify distinct clusters of chronic obstructive pulmonary disease (COPD) patients in China, highlighting how comorbidity profiles ...

ABSTRACT: Purpose: The purpose of this study is to develop a scalable, risk-aware artificial intelligence (AI) framework capable of detecting financial fraud in high-throughput digital transaction ...