Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Human and Smart Machine Co-Learning with Brain Computer Interface   Machine learning has become a very popular approach for cybernetics systems,
and it has always been considered important research in the Computational
Intelligence area. Nevertheless, when it comes to smart machines, it is not
just about the methodologies. We need to consider systems and cybernetics as
well as include human in the loop. The purpose of this article is as follows:
(1) To integrate the open source Facebook AI Research (FAIR) DarkForest program
of Facebook with Item Response Theory (IRT), to the new open learning system,
namely, DDF learning system; (2) To integrate DDF Go with Robot namely Robotic
DDF Go system; (3) To invite the professional Go players to attend the activity
to play Go games on site with a smart machine. The research team will apply
this technology to education, such as, playing games to enhance the children
concentration on learning mathematics, languages, and other topics. With the
detected brainwaves, the robot will be able to speak some words that are very
much to the point for the students and to assist the teachers in classroom in
the future.

23
The categories of this paper are: solv-int
10
The categories of this paper are: q-bio
2
The categories of this paper are: math
14
The categories of this paper are: math-ph
27
The categories of this paper are: comp-gas
31
The categories of this paper are: ao-sci
33
The categories of this paper are: plasm-ph
24
The categories of this paper are: dg-ga
35
The categories of this paper are: mtrl-th
7
The categories of this paper are: hep-th
20
The categories of this paper are: acc-phys
37
The categories of this paper are: supr-con
11
The categories of this paper are: hep-lat
8
The categories of this paper are: hep-ex
32
The categories of this paper are: atom-ph
4
The categories of this paper are: cond-mat