A 2019 power shut off that lasted for days and affected nearly a million customers prompted a fierce backlash, but Strenfel’s ...

The landscape of machine learning engineering has evolved dramatically over the past decade, with organizations increasingly demanding scalable, production-ready solutions that deliver measurable ...

The intersection of artificial intelligence and healthcare continues to unlock unprecedented opportunities for improving patient outcomes and operational efficiency. As healthcare organizations ...

In the rapidly evolving field of computational intelligence, there is a pressing demand for advanced tools and algorithms that can significantly transform ...

QNNs achieved 95 percent accuracy, while QSVMs reached 94 percent, both surpassing classical machine learning methods, which ...

Therefore, vector space cannot fully reflect human intelligence, but it can serve as a tool to simulate or approximate certain external manifestations of human intelligence. Human intelligence is a ...

Abstract: Phishing efforts are on the rise, increasing the need for automatic, real-time detection. Similarly, existing conventional phishing detection methods such as decision trees (DT) and support ...

Over the course of more than two decades, researchers at the University of Bern have developed the so-called "Bern model," a ...

LOS ANGELES, CA / ACCESS Newswire / September 9, 2025 / The machine learning market reached $204.30 billion in 2024 and is projected to reach $528.10 billion by 2030; however, 80% of machine learning ...

Machine learning algorithms have been used to predict cancer progression, identify early signs of Parkinson’s disease, and ...

Abstract: Low back pain, as noted by the World Health Organization, is the leading cause of disability worldwide, affecting 619 million people in 2020. This condition affects most people at some point ...