Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and ...

The researchers suggest that this improvement in diagnostic performance for OFC biomarker discovery can be used to develop a diagnostic alternative for food allergy that is scalable and more efficient ...

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

Researchers developed a machine learning model that predicts high-yield antibody-producing cell lines early in manufacturing, ...

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications after stem cell and bone marrow transplants, according to new research ...

This doesn’t bode well for humanity. Just in case bots weren’t already threatening to render their creators obsolete: An AI model redefined machine learning after devising shockingly deceitful ways to ...

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

Hundreds of thousands of children in China have been separated from their parents. A Yale SOM study finds that a ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

Opinion: A patent case involving inventor Guillaume Desjardins has evolved into a cornerstone of modern patent eligibility ...