This technical FAQ examines three modeling gaps identified in engineering literature and outlines algorithmic methods to address them.

In physical systems where errors carry tangible consequences, AI creates value through reliability and first-time-right performance.

Abstract: This research-to-practice study aims to develop an Artificial Intelligence (AI) MCQ generation system for engineering students, with a focus on adaptive learning, educational technology, and ...

Engineers who understand how to impose structure around model behavior play a critical role in turning experimental workflows ...

For years, the guiding assumption of artificial intelligence has been simple: an AI is only as good as the data it has seen. Feed it more, train it longer, and it performs better. Feed it less, and it ...

Abstract: This paper presents a proof-of-concept digital twin designed to enhance industrial process monitoring and maintenance through real-time and bidirectional communication. The integrated ...