Nature

Optimizing machine learning for network inference through comparative analysis of model performance in synthetic and real-world networks

In an era marked by exponential data growth and pervasive digital connectivity, understanding the intricate structure of networks has become a critical challenge across various domains. Whether ...
Nature

Understanding college students’ acceptance of machine translation in foreign language learning: an integrated model of UTAUT and task-technology fit

Machine translation (MT) has emerged as a widely-used foreign language learning tool that could enhance language learning proficiency and productivity. However, the factors influencing college ...
Quanta Magazine

What Is Machine Learning?

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...