[Virtual/Free Workshop] Future Network Artificial Intelligence and Machine Learning

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27-29 September 2021 | Virtual & Free

Registration is now open

This workshop will explore Artificial Intelligence and Machine Learning (AI/ML) algorithms, techniques, systems and standards that can be utilized to optimize performance of 5G and Future Networks. The objective of this workshop is to bring together experts from the globe and create a joint platform for information exchanges, presentation of results, and fruitful discussions to identify gaps and future directions for the IEEE Future Network Initiative (FNI) Artificial Intelligence and Machine Learning Group.

[Free E-Book] A Course in Machine Learning

Machine learning is the study of computer systems that learn from data and experience. It is applied in an incredibly wide variety of application areas, from medicine to advertising, from military to pedestrian. Any area in which you need to make sense of data is a potential customer of machine learning.

Download / read online here.

[Free Book] Artificial Intelligence : Foundations of Computational Agents

Artificial Intelligence: Foundations of Computational Agents, second edition, Cambridge University Press 2017, is a book about the science of artificial intelligence (AI). It presents artificial intelligence as the study of the design of intelligent computational agents. The book is structured as a textbook, but it is accessible to a wide audience of professionals and researchers. In the last decades we have witnessed the emergence of artificial intelligence as a serious science and engineering discipline. This book provides an accessible synthesis of the field aimed at undergraduate and graduate students. It provides a coherent vision of the foundations of the field as it is today. It aims to provide that synthesis as an integrated science, in terms of a multi-dimensional design space that has been partially explored. As with any science worth its salt, artificial intelligence has a coherent, formal theory and a rambunctious experimental wing. The book balances theory and experiment, showing how to link them intimately together. It develops the science of AI together with its engineering applications.

(Taken from : https://artint.info/ )

Read the book here : https://artint.info/2e/html/ArtInt2e.html

International Conference Info : OT4ME 2021! – 22-25 Nov.2021 (virtual / free)

Overview

TALE, an international conference on engineering, technology, and education is the IEEE Education Society’s premier conference series in the Asia-Pacific region. It aims to provide a forum for scholars and practitioners to share their knowledge and experience in engineering and technology ducation, as well as in technology-enabled educational innovation across a variety of academic and professional disciplines. The target audience of the conference is diverse and includes those working in the higher education, vocational education and training (VET), K-12, corporate, government and healthcare sectors.

IEEE TALE 2021 will be held from December 5th to 8th, 2021 on Central China Normal University (CCNU) campus, Wuhan, China. We are looking forward to see you in Wuhan.

Publications
Prospective authors are invited to submit papers of two (2) to eight (8) A4 pages (including tables, figures and references) in standard IEEE double-column format. Papers will be accepted only by electronic submission through the online submission system, and a double-blind review process will be used to evaluate all submitted papers. 

All accepted papers of TALE2021 will be indexed by EI Compendex, and selected papers from TALE2021 could be invited to publish in SCI/EI-indexed journals. 

Detailed information for paper submission can be found here.

The objective is to provide an open and international environment sharing best online practices, including:  E-learning/Online teaching/education ⬤ Erasmus+ Mobility Program ⬤ ICT in Education (infrastructures, software tools, data analytics, etc.) ⬤ Higher Education ⬤ Adult Education ⬤ STEM/STEAM Education ⬤ Global Issues in Education and Research ⬤ Inclusive Education ⬤ Learning/Teaching Methodologies and Assessment ⬤ Course Management ⬤ Curriculum Development ⬤ Competence Development ⬤ Educational Foundations ⬤ Education Policy and Leadership ⬤ Active methodologies (Flipped Classroom, Gamification, etc.) ⬤ Business and Education ⬤ Case studies ⬤ Creative track ⬤  

Fee: FULLY FREE (Free registration / Free publishing for accepted papers)

Important Dates Article submission due:   August 16, 2021

Article review feedback:   September 27, 2021

Final articles due:        October 18, 2021

Conference:                22-25 November 2021

—–Paper submission via EDAS: https://edas.info/N28697 

Artificial intelligence in a post-pandemic world of work and skills

Cedefop has been monitoring the adoption of artificial intelligence and new digital technologies by EU Member States, as these are becoming part of the EU’s new reality in a post-coronavirus world.

With its unique ability to identify and ‘learn’ from data patterns and to develop predictive mappings between variables – machine and deep learning – artificial intelligence (AI) has proved to be an indispensable tool in the fight against the coronavirus pandemic. AI has enabled the deployment of predictive models of potential disease contagion and containment, and has been used for screening and tracking patients. In addition to health care purposes,

AI has been deployed across the globe to improve understanding of the potential consequences of the viral infection for different economy sectors. Companies have increasingly relied on machine-learning-enabled systems to reengineer production delivery in the face of a massive disruption in supply chains. Policy-makers have also turned to AI technologies due to their great promise in strengthening the quality of remote education delivery, at times where schools and education systems struggle to remain accessible to learners.

Is coronavirus reinforcing automation?

Not long before the coronavirus outbreak, fears about AI and smart machines resulting in a jobless society were widespread, noted Cedefop expert Konstantinos Pouliakas in the recent symposium ‘AI in the world of work’, under the auspices of the German EU Presidency. While a 2013 University of Oxford study cautioned that about half of all jobs in advanced economies may become extinct due to advancing machine learning methods, subsequent studies deconstructing jobs by task composition tended to dispel such fears of extensive job loss. An analysis using data from the first Cedefop European skills and jobs survey  showed that the share of EU jobs facing very high risk of being automated by new digital technologies is close to 14%, although about two in five EU jobs still face a high probability of substantial transformation.

The coronavirus crisis has given new rise to concerns about automation in labour markets, with social distancing measures driving companies and societies to adopt new digital and data-driven technologies. Early predictions that Covid-19 will have a positive automation effect may, however, be overstated. Firms’ automation incentives may be partially offset by the lower aggregate demand in economies following the pandemic disruption, while higher uncertainty and credit constraints hold back their investment decisions. Occupations identified as ‘high-risk’ due to coronavirus exposure and social distancing have also been found to correlate weakly with those facing higher automation risk. Many of the occupations and sectors mostly affected by Covid-19 are typically in the service sector (hospitality, leisure, retail) and are heavily reliant on interpersonal skills, which are less susceptible to replacement by AI technologies.

From technical to economic feasibility

A recently published Cedefop report found that such earlier studies only focus on the technical feasibility of some job tasks being replaced by machine learning algorithms. They fail to acknowledge that firms’ decisions to automate depend on a combination of factors including the ‘business case’ for adopting new technologies, their cost, diffusion hurdles, the relative supply and price of skill and labour, uncertainty in investment decisions and shifting social attitudes.

The Cedefop report shows that, when accounting for such factors, firms that were early adopters of new technologies were more likely to experience future employment gains. The average employment decline in the group of occupations deemed to be ‘fully automatable’ by earlier studies has only been -2%, which is rather feeble, given that we are already a quarter to one half into the timeframe in which massive job losses were predicted.

Strengthening AI in vocational education and training

These findings highlight that AI technologies may help the transition to better-quality jobs and increase demand for skills insulated from automation, such as creativity, leadership, organisational and interpersonal communication skills. Interaction with digital devices is also a key trait of occupations with lower automation risk, all the more significant in the coronavirus era given the growing need for workers to carry out their jobs remotely.

Although not without obstacles, the transition from analogue to digital vocational education and training (VET) systems is progressing steadily in EU Member States, as revealed by a new series of Cedefop thematic insights focused on VET for the future of work. Even before the coronavirus shock, several EU countries had started investing in the development of online and open learning tools and environments. As the need for distance learning increased, more have also been looking into AI technologies as a means of improving personalised learning solutions and open education resources, which can be tailored and adapted to students’ learning abilities. AI tools can also monitor learning difficulties, identify early warning signs of possible student failure, and carry out remote assessment.

The Cedefop thematic insights reports identified several key response areas addressed by EU Member States in their efforts to adapt their VET systems to AI and automation, specifically by:

  • planning for AI: adopting specific AI strategies and revising IVET and CVET strategies, developing multi-stakeholder expert groups and public-private partnerships to map AI capabilities;
  • developing AI-based learning solutions for classrooms and enterprises: innovation labs and other pilot AI projects for knowledge exchange between companies and different stakeholders;
  • learning (about) AI: teaching teachers and the public about AI capabilities via user-friendly online courses;
  • applying AI: using AI methods for the development of new skills classifications or analysis of training curricula and VET programmes based on their match/mismatch to labour market needs;
  • adapting VET systems to AI: considering the introduction of new or revised education and training curricula and programmes (such as robotics, computational thinking, machine learning, data science, cybersecurity, automation engineering);
  • coping with AI: developing continuing VET programmes to support workers affected by automation and structural labour market changes.

As part of its Digitalisation, AI and the future of work project, Cedefop will continue carrying out research and collecting comparative information on the adoption of AI and new digital technologies in EU job markets and VET systems in the post-coronavirus world. Stay tuned for the 2nd wave of the Cedefop European skills and jobs survey, which will focus on the impact of changing digital technologies and automation on the skill requirements, skill mismatches and continuing education and training of EU adult workers.

Taken from : AAAI Alert (https://www.cedefop.europa.eu/en/news-and-press/news/artificial-intelligence-post-pandemic-world-work-and-skills)

Check out examples of AI reaction areas in EU Member States (+UK).

2020 International Seminar on Application for Technology of Information and Communication (iSemantic)

19 – 20 September 2020

Computer Science and Information Technology, Electrical and Electronic Technology, E- computing Technologies, Technology for Language and Literature Study, e-Health Technology

 Semarang, Indonesia  |   Conference Website  |   Email Organizer
Sponsors: Indonesia Section; Universitas Dian Nuswantoro ; Universitas Dian Nuswantoro STB
Call for Papers Deadline: 31 May 2020

2019 5th International Conference on Science in Information Technology (ICSITech)

ICSIITE

22 – 24 October 2019

Agent System, Artificial Intelligence, Big Data, Data Mining, Biomedical Informatics, Cloud computing, cloud & Grid Computing, Computer Engineering, E-Business, E-Government, E-Learning, Electrical & Electronic, Engineering, Embedded System, Green Computing, Human Computer Interaction, Image Processing & Computer Vision, Information Security & Cryptography, Information System, Mechatronics, Mobile Computing & Applications, Natural Languange Processing, Network & Data Communication, Open Source System, Pattern Recognition, Robotics, Smart City, Smart Factory, Smart Product, Social Networking & Application, Soft Computing, Software Engineering, Software Entrepreneurship, Telecommunication, The Internet of Things, Wireless Communication, Robotics

LOCATIONYogyakarta, Indonesia |WEB ICSITech

Sponsors: ITSA University Colombia; Indonesia Section; Universitas Ahmad Dahlan; Universitas Budi Luhur; Universitas Muhammadiyah Surakarta; Universitas Mulawarman; Universitas Pembangunan Nasional Veteran Yogyakarta; Universitas Pendidikan Indonesia; Universiti Putra Malaysia – UPM; Universiti Teknikal Malaysia Melaka; Univesitas Negeri Malang
Call for Papers Deadline: 1 July 2019

2019 International Conference on Computer Science, Information Technology, and Electrical Engineering (ICOMITEE)

ICOMITEE

16 – 17 October 2019

Software Engineering Strategic Information Systems IT Governance and Audits E-Government IT Service Management IT Project Management Enterprise Resource Planning Business Process Management Customer Relationship Management Supply Chain Management and Logistics System Dynamics E-business and e-Commerce Marketing Analytics Marketplace Analytics Business Analytics and Knowledge Discovery Production Management Task Analysis Process Mining

LOCATIONJember, Indonesia | WEBICOMITEE

Sponsors: Indonesia Section; Indonesia Section C Chapter; Indonesia Section SP Chapter; Universitas Jember
Call for Papers Deadline: 1 June 2019

2019 International Symposium on Electronics and Smart Devices (ISESD)

ISESD

8 – 9 October 2019

ISESD provides an international forum that bring together researchers and academia that are actively involved in the field of electronics and smart devices, to report and discuss on latest innovations and developments, and to exchange ideas and advances in all related aspects.

LOCATIONBadung-Bali, Indonesia | WEB ISESD

Sponsors: Indonesia Section Chapter, SSC37; Indonesia Section ED Chapter
Call for Papers Deadline: 29 July 2019