Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), ...

Machine learning (ML) is rapidly emerging as a powerful tool to improve the safety, reliability, and long-term performance of marine structures exposed to harsh ocean environments. This study presents ...

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

Overview: Advanced Big data courses equip learners with skills in analytics, machine learning, and data visualization.Hands-on experience with tools like Hadoop ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Veteran game director Bruce Straley isn't buying into the generative AI hype in game development. The co-director of "The Last of Us" believes that artificial intelligence simply can't think, grow, or ...

Background: Kidney cancer is a highly heterogeneous oncologic disease with historically poor prognosis. Precise assessment of the risk of distal metastasis can facilitate risk stratification and ...

In the swiftly evolving tech landscape, Artificial Intelligence (AI) and Machine Learning (ML) have emerged as two of the most ...

Patent applications on artificial intelligence and machine learning have soared in recent years, yet legal guidance on the patentability of AI and machine learning algorithms remains scarce. The US ...

ABSTRACT: Accurate prediction of malaria incidence is indispensable in helping policy makers and decision makers intervene before the onset of an outbreak and potentially save lives. Various ...