From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...

There is more than one way to describe a water molecule, especially when communicating with a machine learning (ML) model, says chemist Robert DiStasio. You can feed the algorithm the molecule's ...

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...

In recent years, the field of radar and remote sensing has experienced significant advancements due to the evolution of ...

School districts from Utah to Ohio to Alabama are spending thousands of dollars on these tools, despite research showing the ...

Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.

Unlike other industries, healthcare generates not only numerical and categorical data but also large volumes of unstructured ...

Abstract: Depression is a significant mental health problem and presents a challenge for the machine learning field in the detection of this illness. This study explores automated depression ...

Researchers at the University of South Australia are using machine learning for hyperspectral imaging to detect contamination ...

The field of cancer immunology has experienced remarkable advancements in diagnostic capabilities, largely due to the integration of multispectral and hyperspectral imaging technologies. These imaging ...

Real-time fall detection and prediction system using IMU sensors and machine learning algorithms. fall-detection-system/ ├── README.md # Project overview and quick start ├── LICENSE # MIT License ├── ...

Cheap Insurance reports that AI is transforming home insurance by predicting weather risks, enhancing claims efficiency, and ...