{"id":488,"date":"2019-06-28T17:51:43","date_gmt":"2019-06-28T15:51:43","guid":{"rendered":"http:\/\/labs.dimes.unical.it\/speme\/?page_id=488"},"modified":"2019-11-28T11:04:02","modified_gmt":"2019-11-28T10:04:02","slug":"workshop-ai-iot","status":"publish","type":"page","link":"https:\/\/labs.dimes.unical.it\/speme\/events-organization\/workshop-ai-iot\/","title":{"rendered":"Workshop AI & IoT @AI*IA2019"},"content":{"rendered":"

jointly held with<\/span><\/span><\/h1>\n

AI*IA 2019,\u00a0the18th\u00a0International Conference of the Italian Association for Artificial Intelligence<\/a><\/em><\/h1>\n

Description<\/h1>\n

The Internet of Things (IoT) is expected to reach its full potential through actually intelligent and autonomous cyber-physical devices and systems. Along this line, Artificial Intelligence (AI) is likely to be the best source of resources \u2013 such as algorithms, technologies, methodologies, and paradigms \u2013 enabling the development of next-generation \u201csmart\u201d devices and systems. In fact, the \u201cIoT-AI\u201d combination let us envision a cyber-physical scenario (often referred to as IoIT, i.e., \u201cInternet of Intelligent <\/em>Things\u201d) where devices compute while interacting with each others, with human users, and with their surrounding environments in a dynamic, adaptive, and cognitive way. This vision is expected to bring great improvements and advantages \u2013 as well as, of course, novel challenges \u2013 in virtually all applicative contexts, including, but not limited to, Industry 4.0, e-Health, entertainment, logistics, etc.<\/p>\n

However, although the premise and the comforting initial results, a decidedly relevant\u00a0 technical and research work is still lacking before the IoT can effectively promote the next socio-economic revolution. In particular, despite the large body of results and techniques that individually characterize the two areas – IoT and AI – and despite the extensive use of ML for the analysis of the data produced by IoT systems, to date little attention has been paid to provide the interconnected objects with of an actual intelligence that allows them to (i) recognize the context in which they are located, (ii) interact effectively, flexibly and dynamically with human beings, (iii) interact with each other in ways not a-priori defined by the designers and, hopefully, (iv) opportunistically exploit the situation in which they are immersed and the interactions therein possible to fulfill their own purposes. It is reasonable to expect that great benefits for the IoT can emerge by combining the whole spectrum<\/em> of AI techniques with the various approaches used in the IoT to distribute data and computation and to exploit the interaction between multiple devices. For this reason, this session aims to explore not only the adaptation of existing AI techniques to the IoT context, but also the development of new specific and original approaches. The session, therefore, aims to collect contributions from the academic and industrial world, to present innovative solutions for the development of intelligent IoT ecosystems as well as new business models and relevant experiences from successful smart applications. In order to fully explore AI opportunities for the IoT, the submission of contributions related to the following topics is encouraged:<\/p>\n