scholarly journals Shaping the Video Conferences of Tomorrow With AI

2020 ◽  
Author(s):  
Paulo Renato C. Mendes ◽  
Eduardo S. Vieira ◽  
Pedro Vinicius A. de Freitas ◽  
Antonio José G. Busson ◽  
Álan Lívio V. Guedes ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
State Of The Art ◽  
Video Conferencing ◽  
Leisure Activities ◽  
The Internet ◽  
Video Classification ◽  
Home Office ◽  
Current State ◽  
The Social ◽  
Future Vision

Before the COVID-19 pandemic, video was already one of the main media used on the internet. During the pandemic, video conferencing services became even more important, coming to be one of the main instruments to enable most social and professional human activities. Given the social distancing policies, people are spending more time using these online services for working, learning, and also for leisure activities. Videoconferencing software became the standard communication for home-office and remote learning. Nevertheless, there are still a lot of issues to be addressed on these platforms, and many different aspects to be reexamined or investigated, such as ethical and user-experience issues, just to name a few. We argue that many of the current state-of-the-art techniques of Artificial Intelligence (AI) may help on enhancing video collabo- ration services, particularly the methods based on Deep Learning such as face and sentiment analyses, and video classification. In this paper, we present a future vision about how AI techniques may contribute to this upcoming videoconferencing-age.

scholarly journals A survey on time-sensitive resource allocation in the cloud continuum

2020 ◽  
Vol 62 (5-6) ◽  
pp. 241-255
Author(s):  
Saravanan Ramanathan ◽  
Nitin Shivaraman ◽  
Seima Suryasekaran ◽  
Arvind Easwaran ◽  
Etienne Borde ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Resource Allocation ◽  
State Of The Art ◽  
The Internet ◽  
Resource Allocation Problem ◽  
Research Gaps ◽  
Iot Applications ◽  
Efficient Management ◽  
Current State ◽  
Exchange Information

AbstractArtificial Intelligence (AI) and Internet of Things (IoT) applications are rapidly growing in today’s world where they are continuously connected to the internet and process, store and exchange information among the devices and the environment. The cloud and edge platform is very crucial to these applications due to their inherent compute-intensive and resource-constrained nature. One of the foremost challenges in cloud and edge resource allocation is the efficient management of computation and communication resources to meet the performance and latency guarantees of the applications. Numerous research studies have been carried out to address this intricate problem. In this paper, the current state-of-the-art resource allocation techniques for the cloud continuum, in particular those that consider time-sensitive applications, are reviewed. Furthermore, we present the key challenges in the resource allocation problem for the cloud continuum, a taxonomy to classify the existing literature and the potential research gaps.

scholarly journals Generate, Segment, and Refine: Towards Generic Manipulation Segmentation

2020 ◽  
Vol 34 (07) ◽  
pp. 13058-13065 ◽  
Author(s):  
Peng Zhou ◽  
Bor-Chun Chen ◽  
Xintong Han ◽  
Mahyar Najibi ◽  
Abhinav Shrivastava ◽  
...  
Keyword(s):  
State Of The Art ◽  
Training Data ◽  
The Internet ◽  
Generation Process ◽  
Image Generation ◽  
Image Sharing ◽  
Current State ◽  
Photo Editing ◽  
Traditional Work ◽  
False News

Detecting manipulated images has become a significant emerging challenge. The advent of image sharing platforms and the easy availability of advanced photo editing software have resulted in a large quantities of manipulated images being shared on the internet. While the intent behind such manipulations varies widely, concerns on the spread of false news and misinformation is growing. Current state of the art methods for detecting these manipulated images suffers from the lack of training data due to the laborious labeling process. We address this problem in this paper, for which we introduce a manipulated image generation process that creates true positives using currently available datasets. Drawing from traditional work on image blending, we propose a novel generator for creating such examples. In addition, we also propose to further create examples that force the algorithm to focus on boundary artifacts during training. Strong experimental results validate our proposal.

scholarly journals Distributed artificial intelligence, diversity and information literacy

2010 ◽  
Vol 3 (1) ◽  
Author(s):  
Peter Kåhre
Keyword(s):  
Artificial Intelligence ◽  
Systems Theory ◽  
Information Literacy ◽  
Social System ◽  
Social Systems ◽  
Global Dimension ◽  
The Internet ◽  
Strong Artificial Intelligence ◽  
The Social ◽  
Symbolic Ai

My proposal is based on my doctoral dissertation On the Shoulders of AI-technology : Sociology of Knowledge and Strong Artificial Intelligence which I succesfully defended on May 29th 2009. E-published http://www.lu.se/o.o.i.s?id=12588&postid=1389611 The dissertation is concerned with Sociology’s stance in the debate on Strong Artificial Intelligence,.i.e. AI-systems that is able to shape knowledge on their own. There is a need for sociologists to realize the difference between two approaches to constructing AI systems: Symbolic AI (or Classic AI) and Connectionistic AI in a distributed model – DAI. Sociological literature shows a largely critical attitude towards Symbolic AI, an attitude that is justified. The main theme of the dissertation is that DAI is not only compatible with Sociology’s approach to what is social, but also constitutes an apt model of how a social system functions. This is consolidated with help from german sociologist Niklas Luhmann’s social systems theory. A lot of sociologists criticize AI because they think that diversity is important and can only be comprehended in informal circumstances that only humans interacting together can handle. They mean that social intelligence is needed to make something out of diversity and informalism. Luhmann´s systems theory gives the opposite perspective. It tells us that it is social systems that communicate and produce new knowledge structures out of contincency. Psychological systems, i.e. humans, can only think within the circumstances the social system offer. In that way human thoughts are bound by formalism. Diversity is constructed when the social systems interact with complexity in their environments. They reduce the complexity and try to present it as meaningful diversity. Today when most of academic literature is electronically stored and is accessible through the Internet from al over the world, DAI can help social systems to observe and reduce complexity in this global dimension. It is pointed out that human consciousness is limited in handling this global dimension. Therefore is it reasonable to argue that DAI in at least this dimension has a stronger intelligence than humans have. I will argue that Luhmann´s social theory and DAI give a god model to analyze the conditions for diversity in the Internet society. Further, the discussion about strong AI gives a lot of opportunities to discuss what sort of information literacy is needed and it also gives some perspective to discuss the concept of IL I have observed that the concept has evolved from something that coined some formal capacities, to something that has to do with a capacity to observe informal relations. That discussion can easily be compared to a parallel discussion within the debate about strong AI.

scholarly journals Precision Agriculture Technology: A Literature Review

2020 ◽  
pp. 30-34
Author(s):  
C. A. Danbaki ◽  
N. C. Onyemachi ◽  
D. S. M. Gado ◽  
G. S. Mohammed ◽  
D. Agbenu ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Image Processing ◽  
Precision Agriculture ◽  
State Of The Art ◽  
Irrigation Management ◽  
Conventional Farming ◽  
Livestock Farming ◽  
Current State ◽  
Art Methods ◽  
Increase In Productivity

This study is a survey on state-of-the-art methods based on artificial intelligence and image processing for precision agriculture on Crop Management, Pest and Disease Management, Soil and Irrigation Management, Livestock Farming and the challenges it presents. Precision agriculture (PA) described as applying current technologies into conventional farming methods. These methods have proved to be highly efficient, sustainable and profitable to the farmer hence boosting the economy. This study is a survey on the current state of the art methods applied to precision agriculture. The application of precision agriculture is expected to yield an increase in productivity which ultimately ends in profit to the farmer, to the society increase sustainability and also improve the economy.

scholarly journals Causal Learning for Socially Responsible AI

2021 ◽  
Author(s):  
Lu Cheng ◽  
Ahmadreza Mosallanezhad ◽  
Paras Sheth ◽  
Huan Liu
Keyword(s):  
Artificial Intelligence ◽  
Social Responsibility ◽  
State Of The Art ◽  
Causal Learning ◽  
Ethical Challenges ◽  
Socially Responsible ◽  
The Social ◽  
Art Methods

There have been increasing concerns about Artificial Intelligence (AI) due to its unfathomable potential power. To make AI address ethical challenges and shun undesirable outcomes, researchers proposed to develop socially responsible AI (SRAI). One of these approaches is causal learning (CL). We survey state-of-the-art methods of CL for SRAI. We begin by examining the seven CL tools to enhance the social responsibility of AI, then review how existing works have succeeded using these tools to tackle issues in developing SRAI such as fairness. The goal of this survey is to bring forefront the potentials and promises of CL for SRAI.

Report from the 2nd Int. Workshop on Education through Advanced Software Engineering and Artificial Intelligence (EASEAI '20)

2021 ◽  
Vol 46 (2) ◽  
pp. 28-29
Author(s):  
Benoît Vanderose ◽  
Julie Henry ◽  
Benoît Frénay ◽  
Xavier Devroey
Keyword(s):  
Artificial Intelligence ◽  
Software Engineering ◽  
Engineering Education ◽  
State Of The Art ◽  
Future Directions ◽  
The Past ◽  
Software Engineering Education ◽  
Current State ◽  
Amount Of Knowledge ◽  
Software Engineering Tools

In the past years, with the development and widespread of digi- tal technologies, everyday life has been profoundly transformed. The general public, as well as specialized audiences, have to face an ever-increasing amount of knowledge and learn new abilities. The EASEAI workshop series addresses that challenge by look- ing at software engineering, education, and arti cial intelligence research elds to explore how they can be combined. Speci cally, this workshop brings together researchers, teachers, and practi- tioners who use advanced software engineering tools and arti cial intelligence techniques in the education eld and through a trans- generational and transdisciplinary range of students to discuss the current state of the art and practices, and establish new future directions. More information at https://easeai.github.io.

scholarly journals State-of-the-Art of Commercial Proctoring Systems and Their Use in Academic Online Exams

2021 ◽  
Vol 19 (2) ◽  
pp. 41-62
Author(s):  
Simone Arnò ◽  
Alessandra Galassi ◽  
Marco Tommasi ◽  
Aristide Saggino ◽  
Pierpaolo Vittorini
Keyword(s):  
Case Studies ◽  
Social Distance ◽  
State Of The Art ◽  
The Internet ◽  
Online Platforms ◽  
The Social ◽  
Assessment Activities ◽  
The Way

Online proctoring generally refers to the practice of proctors monitoring an exam over the internet, usually through a webcam. This technology has gained relevance during the current COVID-19 pandemic, given that the social distance owing to health reasons has consequently led to the switching of all learning and assessment activities to online platforms. This paper summarises the available state-of-the-art of commercial proctoring systems by identifying the main features, describing them, and analysing the way in which different proctoring programs are grouped on the basis of the services they offer. Furthermore, the paper reports on two case studies concerning online exams taken with both automated and human proctoring approaches. The outcomes from state-of-the-art approaches and the experience gained by the two case studies are then summarised in the conclusion, where the need for an organisational effort in loading photographs that can be used to easily recognise student faces, and using an automated online proctoring program to support manual proctoring have been suggested.

scholarly journals Strategic development of scientific and technical potential of industry during the digital transformation of economy

2021 ◽  
Vol 14 (4) ◽  
pp. 410-417
Author(s):  
T. O. Tolstykh ◽  
S. E. Afonin
Keyword(s):  
Artificial Intelligence ◽  
Digital Technologies ◽  
Digital Transformation ◽  
The Internet ◽  
Strategic Development ◽  
Industrial Enterprises ◽  
Current State ◽  
Technical Potential ◽  
The World ◽  
The Internet Of Things

Currently the speeding up of digital transformation makes it obvious that application of digital technologies and the degree of involvement into digital transformation is an essential and significant aspect of scientific and technical potential of an industrial enterprise. The article is devoted to the analysis of trends and prospects of development of basic technologies which are the basis for digital transformation of the world economics: the Internet of things, artificial intelligence, robotization and technologies of the big data processing. The authors present the assessment of the current state of digitalization for Russian industrial enterprises by analyzing the data on the implementation of the above mentioned technologies in business-process.

scholarly journals Personalization and Localization in Human-Robot Interaction: A Review of Technical Methods

Robotics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 120
Author(s):  
Mehdi Hellou ◽  
Norina Gasteiger ◽  
Jong Yoon Lim ◽  
Minsu Jang ◽  
Ho Seok Ahn
Keyword(s):  
Artificial Intelligence ◽  
Current Literature ◽  
State Of The Art ◽  
Social Robots ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
Social Conventions ◽  
Verbal Skills ◽  
Education Industry ◽  
The Social

Personalization and localization are important when developing social robots for different sectors, including education, industry, healthcare or restaurants. This allows for an adjustment of robot behaviors according to the needs, preferences or personality of an individual when referring to personalization or to the social conventions or the culture of a country when referring to localization. However, there are different models that enable personalization and localization presented in the current literature, each with their advantages and drawbacks. This work aims to help researchers in the field of social robotics by reviewing and analyzing different papers in this domain. We specifically focus our review by exploring different robots that employ distinct models for the adaptation of the robot to its environment. Additionally, we study an array of methods used to adapt the nonverbal and verbal skills of social robots, including state-of-the-art techniques in artificial intelligence.

scholarly journals Gastronomic Culture Presentation in the Social Networks

2020 ◽  
pp. 76-84
Author(s):  
Serhiy Neilenko
Keyword(s):  
Social Networks ◽  
Cultural Context ◽  
Theoretical Research ◽  
The Internet ◽  
Current State ◽  
The Social ◽  
Cultural Status ◽  
Food And Culture ◽  
Culinary Culture ◽  
Infor Mation

The objective of the study is to examine the presentation of gastronomic culture in the infor-mation space. The task of the study is to analyze the current state of presentation of gastronomic culture in social networks. The main methods used for theoretical research were theoretical and methodological analysis of the problem as well as monitoring and generalization of social net-works that present gastronomic culture. Results & Conclusions. The current state of presentation of gastronomic culture in social networks is analyzed. It has been ascertained that gastronomic culture is represented by the diverse views of both professionals and amateurs; the internet vid-eos in social networks reflect not only the cultural status of the present, but also have an impact significantly on its formation and determine the system of evaluation and directions for devel-opment of culinary culture. Thus, they become a significant factor in formation and dissemina-tion of ideas about what the food and culture of its consumption should be. This gives grounds to state that cooking videos in the internet are now becoming one of the central and most effec-tive ways of establishing the norms of gastronomic culture in the society. The cooking videos should be considered as special forms of gastronomic presentation, closely connected to the dominants of socio-cultural context, which fix and disseminate the norms of gastronomic cul-ture, thereby ensuring its sustainability.

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