Artificial intelligence (AI) is unlocking both opportunities and challenges for education, with teachers on the front line of ...

In this review, we describe the classical and state-of-the-art deep learning-based drug synergy prediction models, with a particular focus on multi-task learning models, and discuss the limitations ...

Multiaxial fatigue failure of metals, a common issue in industrial production, often leads to significant losses. Recently, many researchers have applied deep learning methods to predict the ...