Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Machine Learning for Computational Science and Engineering -- a brief
  introduction and some critical questions   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.

8
The categories of this paper are: hep-ex
0
The categories of this paper are: hep-ph
12
The categories of this paper are: nucl-th
6
The categories of this paper are: astro-ph
32
The categories of this paper are: atom-ph
11
The categories of this paper are: hep-lat
26
The categories of this paper are: bayes-an
31
The categories of this paper are: ao-sci
13
The categories of this paper are: quant-ph
36
The categories of this paper are: cmp-lg
25
The categories of this paper are: patt-sol
21
The categories of this paper are: adap-org
18
The categories of this paper are: econ
2
The categories of this paper are: math
37
The categories of this paper are: supr-con
29
The categories of this paper are: funct-an