Using the second-nearest neighboring atoms to predict metallic glass stability can help researchers more accurately model the disordered solid with strong, elastic properties, according to a recent ...

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

Artificial Intelligence and its related tools, such as machine learning, deep learning, and neural networks, are revolutionizing every field of life. The domain of materials science and engineering is ...

Gene therapy could potentially cure genetic diseases but it remains a challenge to package and deliver new genes to specific cells safely and effectively. Existing methods of engineering one of the ...

The human brain, with its billions of interconnected neurons giving rise to consciousness, is generally considered the most powerful and flexible computer in the known universe. Yet for decades ...

Generative Artificial Intelligence (AI) and Machine based learning platforms as well as analyses of large databases represent a fast-moving area of ...

Artificial intelligence and machine learning are shaping major design and research decisions for the planned Electron-Ion ...

With the growing emphasis on sustainable development, the demand for environmentally friendly solvents in green chemical ...

Long before algorithms, simulations, and seismic codes existed, traditional Indian architecture had already mastered ...

India's formal credit system has a structural blind spot. Approximately 500 million adults — nearly the entire working ...