scholarly journals Artificial Intelligence (AI) in Autism

2021 ◽  
Vol 26 ◽  
pp. 262-277
Author(s):  
Angeliki Sideraki ◽  
Athanasios Drigas
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Virtual Reality ◽  
Crucial Role ◽  
Innovative Methods

This paper examines the issue of artificial intelligence and its association with autism. More specifically, at a first level, reference is made to the concept of artificial intelligence, but also to concepts that are directly related and are an extension of it. In addition, the various areas in which the use of artificial intelligence is identified are presented, while the concept of autism and its connection to technology are also analyzed. As research progresses on artificial intelligence and the diagnosis of autism. More specifically, the role of artificial intelligence is now particularly active in diagnosing various disorders including autism. Innovative methods are involved in this process. The following is a summary of research that can help people diagnose autism more easily with the help of machine learning and other technologies. The presence of genetics plays a crucial role as through the identification of different genes of people with autism several conclusions have been drawn. Finally, there are some studies that have studied the role of artificial intelligence in the treatment and intervention of autism. These include robots with artificial intelligence, virtual reality (VR), chatbots, etc. and whether all of this is considered effective for the development and empowerment of children in areas with difficulties such as speech and socialization.

scholarly journals An analytical survey on the role of machine learning algorithms in case of intrusion detection

2020 ◽  
Vol 5 (19) ◽  
pp. 32-35
Author(s):  
Anand Vijay ◽  
Kailash Patidar ◽  
Manoj Yadav ◽  
Rishi Kushwah
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Detection System ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Handling Mechanism ◽  
The Impact

In this paper an analytical survey on the role of machine learning algorithms in case of intrusion detection has been presented and discussed. This paper shows the analytical aspects in the development of efficient intrusion detection system (IDS). The related study for the development of this system has been presented in terms of computational methods. The discussed methods are data mining, artificial intelligence and machine learning. It has been discussed along with the attack parameters and attack types. This paper also elaborates the impact of different attack and handling mechanism based on the previous papers.

scholarly journals The Interplay of Knowledge Representation with Various Fields of Artificial Intelligence in Medicine

2019 ◽  
Vol 28 (01) ◽  
pp. 027-034 ◽  
Author(s):  
Laszlo Balkanyi ◽  
Ronald Cornet
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Neural Networks ◽  
Fuzzy Logic ◽  
Knowledge Representation ◽  
Expert Systems ◽  
Frequency Analysis ◽  
Medical Subject Headings ◽  
Subject Headings

Introduction: Artificial intelligence (AI) is widespread in many areas, including medicine. However, it is unclear what exactly AI encompasses. This paper aims to provide an improved understanding of medical AI and its constituent fields, and their interplay with knowledge representation (KR). Methods: We followed a Wittgensteinian approach (“meaning by usage”) applied to content metadata labels, using the Medical Subject Headings (MeSH) thesaurus to classify the field. To understand and characterize medical AI and the role of KR, we analyzed: (1) the proportion of papers in MEDLINE related to KR and various AI fields; (2) the interplay among KR and AI fields and overlaps among the AI fields; (3) interconnectedness of fields; and (4) phrase frequency and collocation based on a corpus of abstracts. Results: Data from over eighty thousand papers showed a steep, six-fold surge in the last 30 years. This growth happened in an escalating and cascading way. A corpus of 246,308 total words containing 21,842 unique words showed several hundred occurrences of notions such as robotics, fuzzy logic, neural networks, machine learning and expert systems in the phrase frequency analysis. Collocation analysis shows that fuzzy logic seems to be the most often collocated notion. Neural networks and machine learning are also used in the conceptual neighborhood of KR. Robotics is more isolated. Conclusions: Authors note an escalation of published AI studies in medicine. Knowledge representation is one of the smaller areas, but also the most interconnected, and provides a common cognitive layer for other areas.

Role of Emotions in Interactive Museums

2020 ◽  
pp. 174-193
Author(s):  
Giuliana Guazzaroni
Keyword(s):  
Artificial Intelligence ◽  
Virtual Reality ◽  
Augmented Reality ◽  
Emotional Experience ◽  
Digital Technologies ◽  
Educational Institutions ◽  
Art Galleries ◽  
Emotional Change ◽  
The Relationship

Virtual reality (VR), augmented reality (AR), and artificial intelligence (AI) are increasingly being used by educational institutions and museums worldwide. Visitors of museums and art galleries may live different layers of reality while enjoying works of art augmented with immersive VR. Research points out that this possibility may strongly affect human emotions. Digital technologies may allow forms of hybridization between flesh and technological objects within virtual or real spaces. They are interactive processes that may contribute to the redefinition of the relationship between identity and technology, between technology and body (Mainardi, 2013). Interactive museums and art galleries are real environments amplified, through information systems, which allow a shift between reality, and electronically manipulated immersive experiences. VR is emotionally engaging and a VR scenario may enhance emotional experience (Diemer et al., 2015) or induce an emotional change (Wu et al., 2016). The main purpose of this chapter is to verify how art and VR affect emotions.

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