As a fundamental technology of artificial intelligence, existing machine learning (ML) methods often rely on extensive human intervention and manually presetting, like manually collecting, selecting, ...

Federated learning was devised to solve the problem of difficulty in aggregating personal data, such as patient medical ...

Active learning represents a transformative paradigm in machine learning, aimed at reducing the annotation burden by selectively querying the most informative data points. This approach leverages ...

In the field of education, understanding and addressing students' emotions has become fundamental to creating effective and ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. According to the U.S. Bureau of Labor Statistics, there are more than 10.1 million unfilled ...

Predictive model accelerates the development of nanoparticles as potential drug carriers for targeting neurodegenerative ...

Teaching methods are the broader techniques used to help students achieve learning outcomes, while activities are the different ways of implementing these methods. Teaching methods help students: ...

Artificial intelligence based on medical claims data outperforms traditional models in stratifying patient risk. ABSTRACTObjectives: Current models for patient risk prediction rely on practitioner ...