{"id":1707,"date":"2024-05-16T14:47:27","date_gmt":"2024-05-16T12:47:27","guid":{"rendered":"https:\/\/labs.dimes.unical.it\/speme\/?page_id=1707"},"modified":"2025-04-28T16:15:41","modified_gmt":"2025-04-28T14:15:41","slug":"genaiot","status":"publish","type":"page","link":"https:\/\/labs.dimes.unical.it\/speme\/events-organization\/genaiot\/","title":{"rendered":"1st Workshop on Generative Artificial Intelligence-aided Internet of Things (GenAIoT)"},"content":{"rendered":"\n

Co-located with the IEEE 11th World Forum on Internet of Things<\/a><\/p>\n\n\n\n

According to IoT Analytics\u2019 Generative AI Market Report 2023\u20132030 (published December 2023), the Generative AI<\/strong> software and services market reached $6.2 billion in 2023. Although it is still very early to forecast where things are going from here, the IoT Analytics research team expects the generative AI market to make up nearly 5% of global software spending by 2030 due to its disruptive nature and tremendous value
potential. Also in academia, Generative AI is widely considered an enabler for
many application domains and the Internet of Things ecosystem<\/strong> is certainly one of those.
Indeed, supported by Generative AI, IoT devices and services can better
interact with human users (for example through LLM-based applications) and
be more efficient, reliable and effective (for example, by autonomously
recovering data or information missing due to intermittent connectivity,
device mobility or battery exhaustion, etc.). However, the landscape of
Generative AI foundational models and platforms is continuously evolving, as
well as its deployment across the computing continuum still mostly
unexplored. Therefore, multidisciplinary workshops represent significant
opportunities of discussion to explore pioneering approaches, methods, and
solutions. <\/p>\n\n\n\n

The workshop will focus on the duo IoT and Generative AI by dealing with both theoretical foundational aspects and practical applications. Emphasis will be given to generative modeling, a fundamental yet often overlooked building block of Generative AI, and to Edge Intelligence, namely those practices and methods that enable for the deployment of smartness across the computing continuum. As such, the workshop also welcomes cross-disciplinary contributions, with the topics of interest include (but are not limited to) the following:<\/p>\n\n\n\n