An interatomic potential is a set of mathematical rules that describes the complex dance of forces between atoms — how atomic ...

A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen content without relying on labor-intensive field measurements.

Abstract: Machine learning (ML) is ever more frequently used as a tool to aid decision making. The need to understand the decisions made by ML algorithms has sparked a renewed interest in explainable ...

aDepartment of Gastroenterology and Hepatology, Zhongshan Hospital, Fudan University, Shanghai, China bDepartment of Gastroenterology and Hepatology, Zhongshan Hospital (Xiamen), Fudan University, ...

State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, P. R. China Sino-Danish College, ...

Objective: Lung adenocarcinoma (LUAD) continues to be a primary cause of cancer-related mortality globally, highlighting the urgent need for novel insights finto its molecular mechanisms. This study ...

Ever wondered about that massive machine with a sliding barbell at the gym? Allow us to introduce you to the Smith machine. Despite being a staple in most gyms, this behemoth can be ...

1 School of Data Sciences, Zhejiang University of Finance and Economics, Hangzhou, China 2 Department of Emergency, First Hospital of Shanxi Medical University, Taiyuan, China Background: In the past ...

With the growing processing power of computing systems and the increasing availability of massive datasets, machine learning algorithms have led to major breakthroughs in many different areas. This ...

The 2024 Nobel prize in physics has been awarded to John Hopfield and Geoffrey Hinton for their work on artificial neural networks and the fundamental algorithms that let machines learn, which are key ...