The Accepted papers of All Workshops will be published in the IFIP AICT Proceedings Volume 2.

10th Mining Humanistic Data Workshop (MHDW 2021)

The Mining Humanistic Data Workshop (MHDW) aims to bring together interdisciplinary approaches that focus on the application of innovative as well as existing artificial intelligence, data matching, fusion and mining and knowledge discovery and management techniques to data derived from all areas of Humanistic Sciences.

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6th Workshop on “5G – Putting Intelligence to the Network Edge” (5G-PINE 2021)

The 6th 5G-PINE Workshop has been established to disseminate knowledge obtained from ongoing EU projects as well as from any other action of EU-funded research, in the wider thematic area of “5G Innovative Activities – Putting Intelligence to the Network Edge” and with the aim of focusing on Artificial Intelligence (AI) in modern 5G telecommunications infrastructures.

This should take place by emphasizing upon associated results, methodologies, trials, concepts and/or findings originating from technical reports/deliverables, from related pilot actions and/or any other relevant 5G-based applications, intending to enhance intelligence to the network edges.

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Workshop on “AI Ethics” 

The workshop on AI Ethics  is organized by the University of Sunderland, United Kingdom. More information will follow shortly.

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Energy Efficiency and Artificial Intelligence (ΕΕΑΙ) Workshop

Sustainable energy is hands down one of the biggest challenges of our times. As the EU sets its focus to reach its 2030 and 2050 goals, the role of private energy consumers becomes prevalent. The EU and member states are increasingly highlighting the need to complement supply-related measures (e.g. smart/efficient  buildings, appliances and meters) with consumption-affecting initiatives (e.g. consumer empowerment, information and education, energy taxes and incentives).

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Distributed AI for Resource-Constrained Platforms (DARE) Workshop

The standard approach explored by IoT applications of leveraging cloud computing to address constraints at the level of end and edge nodes is no longer viable, especially for applications with hard real-time requirements and increasing AI usage. Managing the complexity and heterogeneity of IoT systems is a big challenge for the future of edge computing as data is collected and analysed on a large network of different devices which may change at run-time. Only with an open and technology-agnostic approach this challenge can be addressed for a broad set of applications.

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Artificial Intelligence in Biomedical Engineering and Informatics

Artificial intelligence (AI) is gradually changing the routine of medical practice and the level of acceptance by the medical personnel is constantly increasing. Recent progress in digital medical data acquisition through advanced biosignal and medical imaging devices, machine learning and high-performance cloud computing infrastructures, push health related AI applications into areas that were previously thought to be only the province of human experts. Such applications employ a a variety of methodologies including fuzzy logic, evolutionary calculations, neural networks, or deep learning. Advance image processing, and artificial intelligence methods can support medical diagnostics, follow-up monitoring, preventive medicine, assessment of therapy and many other domains. These areas have been in recent years the subject of many research papers and research grants. Consequently, this workshop is devoted to the subject of artificial intelligence, in its broadest sense, in biomedical engineering and health informatics.

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Defense Applications of AI – DAAI

Defence and Security systems are becoming more and more complicated and at the same time equipped with a plethora of sensing devices which collect an enormous amount of information both from their operating environment as well as from their own functioning. Considering the accelerating technology advancements of AI, it is likely that it will have a profound impact on practically every segment of daily life, from the labor market to doing business and providing services.  The security and defence sectors will not remain idle or unaffected by this technological evolution. On the contrary, AI is expected to transform the nature of future defence and security domains, because by definition defence and security forces are highly dependent on (accurate) data and (reliable) information.  The first Defence Applications of Artificial Intelligence (DAAI) Workshop aims at presenting recent evolutions in artificial intelligence applicable to defence and security applications.

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