Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...

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

Meta released details about its Generative Ads Model (GEM), a foundation model designed to improve ads recommendation across ...

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

Understanding the derivative of the cost function is key to mastering logistic regression. Learn how gradient descent updates weights efficiently in machine learning. #MachineLearning #LogisticRegress ...

According to a new study, machine learning can reliably identify patients at high risk of early dysphagia following acute ...

Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...

Customer churn remains a huge issue for telcos, but AI could be the key to changing that. Or, it could fail to live up to its ...

An interdisciplinary study released recently has revealed how artificial intelligence and data science can help preserve endangered indigenous cultural ...

A Scientific Reports study developed a pattern neural network that integrates total antioxidant status with clinical and ...

A Honduran man accused of stabbing another man on Charlotte’s light rail Friday had previously been “officially banned” from using the train, a prosecutor revealed in a court hearing Monday. During ...

Clint Bentley’s “Train Dreams” follows the Joel Edgerton as Robert Grainier, a logger and railroad worker living in the Pacific NorthWest. Set in the late 1960s, “Train Dreams” is directed by “Sing ...