  Artificial Intelligence (AI) is now entering every sub-field of science,
technology, engineering, arts, and management. Thanks to the hype and
availability of research funds, it is being adapted in many fields without much
thought. Computational Science and Engineering (CS&E) is one such sub-field. By
highlighting some critical questions around the issues and challenges in
adapting Machine Learning (ML) for CS&E, most of which are often overlooked in
journal papers, this contribution hopes to offer some insights into the
adaptation of ML for applications in CS\&E and related fields. This is a
general-purpose article written for a general audience and researchers new to
the fields of ML and/or CS\&E. This work focuses only on the forward problems
in computational science and engineering. Some basic equations and MATLAB code
are also provided to help the reader understand the basics.
