At PG&E's weather lab in San Ramon, Scott Strenfel studies a huge digital map on the wall displaying temperatures, dew points and humidity levels across California. At a spot in Kern Hills outside of ...

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 ...

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

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 ...

Abstract: Heart failure is a critical condition with a high mortality rate, making accurate survival prediction essential for timely interventions. This study proposes an optimized machine learning ...

Government procurement contracts can be complicated, with extensive risk analysis and compliance reviews. The traditional ...

Researchers say their results suggest that the risks of fentanyl abuse and environmental pollution should be closely scrutinized and carefully reevaluated.