The concept of boundaryless performance reflects how AI is not just supporting performance but transforming its very nature. With technological advances in AI architecture, conversational interfaces, ...

Abstract: E-learning has become one of most important means for the future education, especially for universities. This paper is based on our e-learning teaching experience which comes from one of the ...

Machine learning (ML) workflows, essential for powering data-driven innovations, have grown in complexity and scale, challenging previous optimization methods. These workflows, integral to various ...

Firstly, it is necessary to gain a basic understanding of machine learning before starting the integration. It is defined as the process of employing formulas and probability theories to find ...

Deep learning, or using massive amounts of data to build intelligent models, is a hot topic. Many companies, now seeing the benefits of AI materialize, have decided they need to get started on deep ...

A five-step workflow for running Active Learning with a committee of ASE-compatible calculators and subsequently preparing, running, and collecting VASP-based high-level calculations. The high-level ...