A gaming ecosystem as a tool for research and education in Artificial Intelligence

Artificial intelligence (AI) and robotics have gone through three generations of development, from Turing test, logic theory machine, to expert system and self-driving car. In the third-generation today, AI and robotics have collaboratively been used in many areas in our society, including industry, business, manufacture, research, and education. There are many challenging problems in developing AI and robotics applications. We launch this new Journal of Artificial Intelligence and Technology to facilitate the exchange of the latest research and practice in AI and technologies. In this inaugural issue, we first introduce a few key technologies and platforms supporting the third-generation AI and robotics application development based on stacks of technologies and platforms. We present examples of such development environments created by both industry and academia. We also selected eight papers in the related areas to celebrate the foundation of this journal.

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“AI’s gonna have an impact on everything in society, so it has to have an impact on public health”: a fundamental qualitative descriptive study of the implications of artificial intelligence for public health

BMC Public Health ◽

10.1186/s12889-020-10030-x ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Jason D. Morgenstern ◽

Laura C. Rosella ◽

Mark J. Daley ◽

Vivek Goel ◽

Holger J. Schünemann ◽

...

Keyword(s):

Public Health ◽

Artificial Intelligence ◽

Disease Surveillance ◽

Public Health Practice ◽

Descriptive Study ◽

Quality Data ◽

Health Practice ◽

Structured Interviews ◽

Qualitative Descriptive ◽

Research And Education

Abstract Background Our objective was to determine the impacts of artificial intelligence (AI) on public health practice. Methods We used a fundamental qualitative descriptive study design, enrolling 15 experts in public health and AI from June 2018 until July 2019 who worked in North America and Asia. We conducted in-depth semi-structured interviews, iteratively coded the resulting transcripts, and analyzed the results thematically. Results We developed 137 codes, from which nine themes emerged. The themes included opportunities such as leveraging big data and improving interventions; barriers to adoption such as confusion regarding AI’s applicability, limited capacity, and poor data quality; and risks such as propagation of bias, exacerbation of inequity, hype, and poor regulation. Conclusions Experts are cautiously optimistic about AI’s impacts on public health practice, particularly for improving disease surveillance. However, they perceived substantial barriers, such as a lack of available expertise, and risks, including inadequate regulation. Therefore, investment and research into AI for public health practice would likely be beneficial. However, increased access to high-quality data, research and education regarding the limitations of AI, and development of rigorous regulation are necessary to realize these benefits.

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An Autonomous Omnidirectional Robot

Journal of Robotics ◽

10.1155/2010/857594 ◽

2010 ◽

Vol 2010 ◽

pp. 1-9 ◽

Cited By ~ 3

Author(s):

Yanfei Liu ◽

Jiaxin Zhao ◽

Josh Apple ◽

Torrey Frank ◽

Matthew Saylor ◽

...

Keyword(s):

Artificial Intelligence ◽

Control System ◽

Soccer Ball ◽

Standard Problem ◽

Engineering Design Process ◽

Research And Education ◽

Senior Students ◽

Education Initiative ◽

And Robotics ◽

Robot Platform

RoboCup is an international research and education initiative, which aims to foster artificial intelligence and robotics research by using competitive soccer as a standard problem. This paper presents a detailed engineering design process and the outcome for an omni-directional mobile robot platform for the Robocup Middle Size League competition. A prototype that can move omnidirectionally with kicking capability was designed, built, and tested by a group of senior students. The design included a mechanical base, pneumatic kicking mechanism, a DSP microcontroller-based control system, various sensor interfacing units, and the analysis of omnidirectional motions. The testing results showed that the system was able to move omnidirectionally with a speed of ∼2 m/s and able to kick a size 5 FIFA soccer ball for a distance of at least 5 meters.

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Neurosymbolic Knowledge Representation for Explainable and Trustworthy AI

10.20944/preprints202001.0163.v1 ◽

2020 ◽

Author(s):

Paola Di Maio

Keyword(s):

Artificial Intelligence ◽

Machine Learning ◽

Knowledge Representation ◽

Large Scale ◽

System Level ◽

Future Research ◽

Knowledge Gaps ◽

Educational Programmes ◽

Systemic Problems ◽

Research And Education

AI research and implementations are growing, and so are the risks associated with AI (Artificial Intelligence) developments, especially when it’s difficult to understand exactly what they do and how they work, both at a localized level, and at deployment, in particular when distributed and on a large scale. Governments are pouring massive funding to promote AI research and education, yet research results and claims, as well as the effectiveness of educational programmes, can be difficult to evaluate given the limited reproducibility of computations based on ML (machine learning) and poor explainability, which in turn limits the accountability of the systems and can cause cascading systemic problems and challenges including poor reproducibility, reliability, and overall lack of trustworthiness. This paper addresses some of the issues in Knowledge Representation for AI at system level, identifies a number of knowledge gaps and epistemological challenges as root causes of risks and challenges for AI, and proposes that neurosymbolic and hybrid KR approaches can serve as mechanisms to address some of the challenges. The paper concludes with a postulate and points to related and future research

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Impact of AI Application on Digital Education Focused on STE(A)M

EDEN Conference Proceedings ◽

10.38069/edenconf-2020-ac0013 ◽

2020 ◽

pp. 153-161

Author(s):

Christian-Andreas Schumann ◽

Kevin Reuther ◽

Claudia Tittmann ◽

Anna-Maria Clauß ◽

Julia Kauper

Keyword(s):

Artificial Intelligence ◽

Rapid Development ◽

Ethical Challenges ◽

Smart Systems ◽

Research And Teaching ◽

Engineering Mathematics ◽

The Future ◽

Research And Education ◽

The Individual ◽

Scientific Fields

Digitization is omnipresent and digital transformations are thus constantly taking place in all areas of society. Of course, education is also subject to these changes. Since it is an absolute prerequisite for both the future security of society and the development of the individual, it must be innovated continuously in order to guarantee the future opportunities of future generations. To ensure that these developments can be planned and shaped systematically, there are varieties of initiatives by education stakeholders. Current studies emphasize that the further digitisation of education is a very complex and demanding process, although successful theories, concepts and models already exist.Although the key role of the digitisation of education is taken into account, the new challenge of the interplay between human and artificial intelligence is emerging. Artificial intelligence has been researched and taught for many years, especially in the context of knowledge-based systems], but with digitisation it is gaining a completely new status and an exploding range of applications. The individual field of artificial intelligence is increasingly linked with other scientific fields in an interdisciplinary way, resulting in new methodological, technological, social and ethical challenges. Existing target systems in research and teaching are not to be replaced completely, but should rather be questioned and further developed in a very comprehensive way. For this reason, the proven problem-solving processes are being made more dynamic and agile. They will be optimised with the methods and means of digitisation as well as artificial intelligence. Due to the omnipresence of digitization and artificial intelligence, all processes, structures and functions must also be reviewed and adapted in education.A prerequisite for this is a renaissance of the interaction of science, technology, engineering, mathematics, and their combination with areas of humanities, economics and social sciences. Applications of artificial intelligence are finding their way into all the above-mentioned scientific fields and promote their networking. These developments are already becoming visible in complex research and education projects, making it possible to demonstrate the sustainability of the new approaches in an exemplary manner.However, the rapid development of digitalisation in general and of artificial intelligence in particular is generating distortions in the systems. Seeking solutions for them is also on the agenda of research and teaching. This paper contributes to this debate by applying a systemic approach to develop a new understanding of the relationships between digitalisation and artificial intelligence. First, an overview of digitalisation in education as well as of smart systems based on human and artificial intelligence will be presented. The next section of this paper explains the theoretical basis of this research before discussing a specific example of STEAM influence on education. Finally, ethical borders of digitalisation and AI in education are highlighted.

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Artificial Intelligence in Drug Discovery

10.1039/9781788016841 ◽

2020 ◽

Keyword(s):

Artificial Intelligence ◽

Drug Discovery

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An introduction to the themed issue on RNA biology in China

Essays in Biochemistry ◽

10.1042/ebc20200031 ◽

2020 ◽

Vol 64 (6) ◽

pp. 863-866

Author(s):

Zhe Wu

Keyword(s):

Molecular Biology ◽

Chinese Society ◽

Fortieth Anniversary ◽

Rna Biology ◽

Research And Education ◽

Education In China

Abstract The year 2019 marked the fortieth anniversary of the Chinese Society of Biochemistry and Molecular Biology (CSBMB), whose mission is to promote biomolecular research and education in China. The last 40 years have witnessed tremendous growth and achievements in biomolecular research by Chinese scientists and Essays in Biochemistry is delighted to publish this themed issue that focuses on exciting areas within RNA biology, with each review contributed by key experts from China.

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