Objective: Early identification of ADHD is necessary to provide the
opportunity for timely treatment. However, screening the symptoms of ADHD on a
large scale is not easy. This study aimed to validate a video game (FishFinder)
for the screening of ADHD using objective measurement of the core symptoms of
this disorder. Method: The FishFinder measures attention and impulsivity
through in-game performance and evaluates the child's hyperactivity using
smartphone motion sensors. This game was tested on 26 children with ADHD and 26
healthy children aged 5 to 12 years. A Support Vector Machine was employed to
detect children with ADHD. results: This system showed 92.3% accuracy, 90%
sensitivity, and 93.7% specificity using a combination of in-game and movement
features. Conclusions: The FishFinder demonstrated a strong ability to identify
ADHD in children. So, this game can be used as an affordable, accessible, and
enjoyable method for the objective screening of ADHD.

通过游戏表现和智能手机运动传感器评估核心症状，FishFinder 测试了 26 名患有 ADHD 的儿童和 26 名健康儿童，最终结论是 FishFinder 具有较强的识别儿童 ADHD 的能力，因此可以用作 ADHD 的客观筛查的一种经济实惠、易获得和有趣的方法。

基于机器学习的视频游戏在 5 至 12 岁儿童注意力缺陷多动障碍客观筛查中的有效性

The Validity of a Machine Learning-Based Video Game in the Objective  Screening of Attention Deficit Hyperactivity Disorder in Children Aged 5 to  12 Years

Although computational aesthetics evaluation has made certain achievements in
many fields, its research of music performance remains to be explored. At
present, subjective evaluation is still a ultimate method of music aesthetics
research, but it will consume a lot of human and material resources. In
addition, the music performance generated by AI is still mechanical, monotonous
and lacking in beauty. In order to guide the generation task of AI music
performance, and to improve the performance effect of human performers, this
paper uses Birkhoff's aesthetic measure to propose a method of objective
measurement of beauty. The main contributions of this paper are as follows:
Firstly, we put forward an objective aesthetic evaluation method to measure the
music performance aesthetic; Secondly, we propose 10 basic music features and 4
aesthetic music features. Experiments show that our method performs well on
performance assessment.

本文提出使用 Birkhoff 美学评价方法提高 AI 音乐性能生成任务并研究音乐表演的客观测量方法，并通过实验表明该方法在音乐表演评估方向有广泛适用性。

一个用于同音音乐演奏审美质量评估的顺序复杂度模型

An Order-Complexity Model for Aesthetic Quality Assessment of Homophony  Music Performance

With machine learning successfully applied to new daunting problems almost
every day, general AI starts looking like an attainable goal. However, most
current research focuses instead on important but narrow applications, such as
image classification or machine translation. We believe this to be largely due
to the lack of objective ways to measure progress towards broad machine
intelligence. In order to fill this gap, we propose here a set of concrete
desiderata for general AI, together with a platform to test machines on how
well they satisfy such desiderata, while keeping all further complexities to a
minimum.

研究提出了一组具体的通用 AI 目标及一个平台，以客观的方式测量机器满足这些目标的程度，以便填补当前研究缺乏测量机器通用智能进展的客观方法这一空白。