Machine learning reduces friction at every stage of a business, whether you’re coming up with new product ideas or getting the goods delivered to the client. It increases business efficiency, improves ...

Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...

New CLASSIC technique uses AI and massive DNA libraries to predict genetic circuit performance faster and more accurately.

The ability of computers to learn on their own by using data is known as machine learning. It is closely related to ...

Driven by a plethora of benefits, data sharing is gradually becoming a “must have” for advanced device nodes and multi-die ...

Penn State researchers have developed a new artificial intelligence framework with potential implications for fields ranging from Alzheimer’s disease research to advanced materials design. The ...

Research from American Banker finds that bankers are still extremely worried about fraud, but hope that raising budgets for ...

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...

Abstract: Accurate rainfall prediction was essential for effective water resource management and disaster preparedness, especially in regions with limited observational data such as Afghanistan. This ...

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Individual prediction uncertainty is a key aspect of clinical prediction model performance; however ...

Abstract: Effective disaster prediction is essential for disaster management and mitigation. This study addresses a multi-classification problem and proposes the Neural-XGBoost disaster prediction ...