Researchers developed a new model to predict the likelihood of critical illness in patients with connective-tissue disease-associated ILD.

Best AI-Native Loan Origination Platforms in 2026. Loan origination is being rebuilt around AI. I'm the founder of SecureLend ...

Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in ...

Re “Tech Giants Racing to Add A.I. to Schools Around the World” (Business, Jan. 5): With the proliferation of A.I. tools and the push for their adoption in schools, there has never been a greater need ...

A new career path for Army officers that focuses on artificial intelligence and machine learning further cements the service’s doctrinal shift toward cutting-edge technology and autonomous warfare.

The Perspective by Tiwary et al. (8) offers a comprehensive overview of generative AI methods in computational chemistry. Approaches that generate new outputs (e.g., inferring phase transitions) by ...

Three machine learning algorithms—Logistic Boosting, Random Forest, and Support Vector Machines (SVM)—were evaluated for anomaly detection in IoT-driven industrial environments. A real-world dataset ...

Abstract: In recent years, Artificial Neural Networks (ANNs) have stood out among machine learning algorithms in many applications, such as image and video pattern recognition. Activation functions ...

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in Machine Learning is "error" representation between actual value and model ...

Logistic regression is a statistical method for analyzing datasets in which there are one or more independent variables that determine an outcome. Unlike linear regression, which is used for ...

To compare the comprehensive performance of conventional logistic regression (LR) and seven machine learning (ML) algorithms in Noise-Induced Hearing Loss (NIHL) prediction, and to investigate the ...

In this project, we leverage the power of artificial intelligence in healthcare to predict lung cancer risks. By employing various machine learning techniques, we aim to assist medical professionals ...