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 ...

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

In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

Read more about how machine learning and deep learning differ, where each is used, and how businesses choose between them in ...

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 ...

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

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...

Researchers at University of Jyväskylä (Finland) advance understanding of gold nanocluster behavior at elevated temperatures ...

Data is the new fuel. The potential for machine learning and deep learning practitioners to make a breakthrough and drive positive outcomes is unprecedented. But how to take advantage of the myriad of ...