Researchers have developed a new AI algorithm, called Torque Clustering, that significantly improves how AI systems independently learn and uncover patterns in data, without human guidance.

AI is searching particle colliders for the unexpected ...

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Many small businesses use AI tools every day, but how do they actually work? And where does all that “knowledge” come from?imageAI models may seem incredibly smart, but there’s no magic involved.

Artificial intelligence research is rapidly evolving beyond pattern recognition and toward systems capable of complex, human-like reasoning. The latest breakthrough in this pursuit comes from the ...

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

1 Production Engineering Department, State University of Maringá, Paraná, Brazil 2 Department of Informatics, Postgraduate Program in Computer Science, State University of Maringá, Paraná, Brazil ...

Abstract: The paper presents a landslide warning model dealing with multi-source monitoring using unsupervised machine learning methods, which include One-Class Support Vector Machine, Isolation ...

With the development of artificial intelligence(AI) in computer science and statistics, it has been further applied to the medical field. These applications include the management of infectious ...