Researchers successfully developed a machine learning-based method for predicting symptom deterioration in patients with cancer.

Southwest Research Institute (SwRI) has developed a method to automate the calibration of heavy-duty diesel truck emissions ...

Monoclonal antibody (mAb) manufacturing must continually improve to keep up with increasing demands. To do this, biomanufacturers can deploy machine learning tools to augment traditional process ...

RICOCHET Anti-Cheat’s machine learning systems are designed to adapt continuously, learning from every match to enhance detection capabilities. The new aimbot detection models are more refined than ...

An emerging approach in AI innovation is hybrid AI, which combines the scalability of machine learning (ML) with the ...

The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...

Researchers have developed a powerful new software toolbox that allows realistic brain models to be trained directly on data.

IOP Publishing’s Machine Learning series is the world’s first open-access journal series dedicated to the application and ...

Scientists have discovered strange microscopic structures in the blood of people with Long COVID—clusters of tiny microclots ...

In an era driven by complex data, scientists are increasingly encountering information that doesn't lie neatly on flat, ...

Few primary care practices are designed for the timely detection of Alzheimer's disease and related dementias. The limited ...