The Internet of Things (IoT) is the internetworking of an eco-system of people and embedded-computing devices which can sense, communicate data, and actuate events in real time, with or without human interaction. The IoT can be hugely empowered through the addition of artificial intelligence (AI) and 5G network technologies. AI enables devices to learn, reason, and process information, and control things in a similar way to people, in that way creating smart-devices. Likewise emerging 5G network technologies bring the promise of flexible wireless connection and roaming with near-zero latency supporting new real-time applications.
Thus, a combination of IoT infrastructure with AI brings the promise of achieving more efficient IoT operations, improving human-machine interactions and enhancing data management and analysis for a plethora of new commercial and societal applications. In particular the ability of AI to learn and analyse enables it to self-program (learn how best to operate) and turn data into knowledge (eg making sense of big data). Conversely, IoT can add value to AI through connectivity, signalling and exchange of data. Therefore, the fusion of IoT with AI can provide innovative and effective data analysis solutions which can create value beyond IoT-generated data, leading to a more connected and smarter future.
The aim of this workshop is to provide a forum which will bring researchers together to examine the possibilities arising from the integration of the IoT with AI, exploring both the underlying technologies and the potential for new services (or enhancing existing services). Thus, we are soliciting original work, addressing these issues.
Topics for this workshop include, but are not limited to:
Internet of Things for AI
• Assisted living technologies, healthcare and algorithms
• Industrial & societal technologies and algorithms
• Smart Home technologies and algorithms
• Smart city technologies and algorithms
• IoT Security, Blockchain
• Ubiquitous computing and context awareness
• Smart sensors & wearables
• VR, AR, MR & Digital Twins
• Networks and communications (eg 5G networks)
AI for Internet of Things
• Distributed / centralised AI (including edge computing & embedded AI)
• AI methods for modelling, reasoning, inferencing and learning
• AI methods for data fusion & dealing with uncertain sensor data
• Novel clustering and classification methods
• Decision support systems
• Big Data analytics
• Computer Vision & Image Processing