By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

Behavior-Derived Intelligence Transforms How Recovery Is Supported, Measured, and Sustained Human behavior leaves a ...

Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New ...

A biomimetic synapse built from water droplets and biological ion channels achieves synaptic plasticity and performs machine learning tasks.

Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.

Artificial intelligence (AI) has become part of the daily lexicon, and an endless stream of media reports assert that AI either has affected or will affect most aspects of human life. What is AI and ...

Muons tend to scatter more from high-atomic-number materials, so the technique is particularly sensitive to the presence of materials such as uranium. As a result, it has been used to create systems ...