Review re-maps multi-view learning into four supervised scenarios and three granular sub-tiers, delivering the first unified ...

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...

We can’t let either artificial intelligence or demagogic politicians tell us exactly what we want to hear. The longstanding cornerstone of American republicanism has been a system of safeguards that ...

DUBAI, United Arab Emirates--(BUSINESS WIRE)--Dubai has launched the world’s first icon-based classification system to represent the level of human–machine collaboration in the process of producing ...

Abstract: In recent years, machine learning algorithms have been widely used in optical networks to solve complex problems such as routing, resource allocation, among others. In routing, modulation ...

1 San Juan Bautista School of Medicine, Caguas, Puerto Rico, United States 2 Independent Researcher, Monmouth County, NJ, United States Background: In many countries, patients with headache disorders ...

This repository contains two basic prediction models: Credit Card Fraud Detection and Titanic Survival Prediction. Both models demonstrate the use of machine learning for binary classification tasks.

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 ...

In the context of the rapid development of intelligent manufacturing, the stable operation of mechanical equipment is crucial for maintaining industrial production continuity and achieving economic ...

1 Department of Computer Science, Rutgers University, New Brunswick, NJ, USA. 2 Department of Computer Science, Rochester Institute of Technology, Rochester, NY, USA. This paper presents a ...