The Arab region consists of many teaching-intensive universities that are intrinsically committed to holistic educational excellence. According to a recent UNESCO report,5 the higher education sector in the Arab region is undergoing a need for massive expansion given exponentially growing populations, record-breaking youth cohorts, coupled with a strong recognition of the economic and social value of higher education. Such an enormous need for growth poses a significant challenge for publicly funded universities yet offers many opportunities for private universities to meet the ever-increasing demands of advanced education.2 As is the case with many similar universities worldwide, not being dedicated research institutions often results in limited availability of research funds, resources, and hence innovation throughput. The examples given in this paper are those of universities in the region that were initially focused on consolidating their teaching, except for one which started first as research-intensive. However, it was not long before a shift in policy included research excellence in undergraduate education by harnessing the most valuable resource of any university: the aspiring students themselves.

Incorporation of Artificial Emotional Intelligence in E-Learning platforms creates new possibilities in online education.We all know that how everything has changed post-pandemic. Every industry had to find new ways to run their processes to survive during the pandemic and post-pandemic situation. The same implies to the education sector. Still the schools, colleges, and Universities in most of the countries follow virtual classes system as the situation hasn’t saturated. […]

We are teaching a major update of the course Spring 2021 as an official UC Berkeley course and as an online course, with all lectures and labs available for free. There are many great courses to learn how to train deep neural networks. However, training the model is just one part of shipping a deep learning project. The course is aimed at people who already know the basics of deep learning and want to understand the rest of the process of creating production deep learning systems. While we cover the basics of deep learning (backpropagation, convolutional neural networks, recurrent neural networks, transformers, etc), we expect these lectures to be mostly review.

In this section we will learn - What does Machine Learning mean. What are the meanings or different terms associated with machine learning? You will see some examples so that you understand what machine learning actually is. It also contains steps involved in building a machine learning model, not just linear models, any machine learning model.

The aim of this workshop is to give researchers from academia and industry the possibility to discuss the inter-and multi-disciplinary nature of the relationships between people and robots towards effective and long-lasting collaborations. This workshop will provide a forum for the HRI and robotics communities to explore successful human-robot interaction (HRI) to analyse the different aspects of HRI that impact its success. Particular focus are the AI algorithms required to implement autonomous interactions, and the factors that enhance, undermine, or recover humans' trust in robots. Finally, potential ethical and legal concerns, and how they can be addressed will be considered. Website: https://sites. google. com/view/traits-hri

Case Management has been gradually evolving to support Knowledge-intensive business process management, which resulted in developing different modeling languages, e.g., Declare, Dynamic Condition Response (DCR), and Case Management Model and Notation (CMMN). A language will die if users do not accept and use it in practice - similar to extinct human languages. Thus, it is important to evaluate how users perceive languages to determine if there is a need for improvement. Although some studies have investigated how the process designers perceived Declare and DCR, there is a lack of research on how they perceive CMMN. Therefore, this study investigates how the process designers perceive the usefulness and ease of use of CMMN and DCR based on the Technology Acceptance Model. DCR is included to enable comparing the study result with previous ones. The study is performed by educating master level students with these languages over eight weeks by giving feedback on their assignments to reduce perceptions biases. The students' perceptions are collected through questionnaires before and after sending feedback on their final practice in the exam. Thus, the result shows how the perception of participants can change by receiving feedback - despite being well trained. The reliability of responses is tested using Cronbach's alpha, and the result indicates that both languages have an acceptable level for both perceived usefulness and ease of use.

The Local Digital Twins (LDT) Technology Workshop will bring together technology providers, Research and Technology Organisations, city Chief Technology Officers and other interested players. The aim of the workshop is to raise awareness of digital technology providers and related organisations about the European Union approach regarding Local Digital Twins and discuss how to build European capacity to this end.

Artificial intelligence (AI) is here, and its benefits are seemingly limitless. There is a flip side though--there always is. AI experts, and those involved with AI, are concerned that if we do not proceed with caution, some of the strange things predicted in science-fiction movies such as 2001: A Space Odyssey may be more truth than fiction. Elon Musk told The New York Times that his experience with AI at Tesla allows him to say with confidence, "We're headed toward a situation where AI is vastly smarter than humans." He adds, "That doesn't mean everything goes to hell in five years. It just means that things get unstable or weird."

Machine learning and natural language processing technology have now advanced to the level that they can be used to determine what feedback …

In the decade since the first PCG workshop, research in artificial intelligence (AI) for generating game content has bloomed. PCG As of 2020, the international workshop on Procedural Content Generation research of all types has been accepted in high-tier conferences enters its second decade. The annual workshop, hosted by and journals, and three special issues on topics directly relevant the international conference on the Foundations of Digital Games, to PCG [10, 53, 99] were published in the IEEE Transactions on has collected a corpus of 95 papers published in its first 10 years. Games (and the preceding IEEE Transactions on Computational This paper provides an overview of the workshop's activities and Intelligence and AI in Games). A textbook on Procedural Content surveys the prevalent research topics emerging over the years.