Artificial Intelligence of Things (AIoT) Ecosystem for Productivity, Security, and Sustainability

According to Gesi Smarter2030, ICT Solutions will help address the 21st Century Challenges. The convergence of AI and IoT (AIoT) holds tremendous promise to unlock a new realm of possibilities for innovation and transformation in the connected world. It is a pivotal enabler for next generation smart and sustainable technologies to support GESI’s Smarter2030 initiative and UN’s Sustainable Development Goals for a sustainable future. This theme encompasses theoretical and applied research to address challenges relating to: society and human needs (SDG1 No Poverty and SDG2 Zero Hunger: autonomous machines, smart and precision agriculture to increase productivity and reduce waste; SDG3 Good Health and Well Being: smart and personalized health; SDG4 Quality Education: smart and personalized educational technologies); sustainable amenities and utilities for the environment (SDG7 Affordable and Clean Energy: smart grid, smart microgrid, and smart renewable energy management systems; SDG13 Climate Change via Low Carbon Growth: smart technologies to reduce energy, as well as resource consumption and waste emissions; SDG11 Sustainable Cities and Communities: smart sustainable cities and infrastructure); sustainable industry (SDG9 Industry, Innovation, and Infrastructure: smart technologies to support Industry 4.0; SDG12 Responsible Consumption and Production: smart technologies for resource optimization, energy efficiency, and waste reduction). This Research Topic aims to showcase AIoT-enabled research (systematic review, position, theoretical, or applied) which addresses relevant SDGs across diverse sectors (i.e. business, energy, transportation, manufacturing, services (education and health), agriculture, and buildings) with a critical consideration of AIoT-related opportunities, and risks. Topics of interest include but are not limited to:• AIoT policies, standards, and strategies• AIoT technologies for intelligent connectivity, platform, and sustainability• AIoT architectures• AIoT infrastructures• AIoT-related models and algorithms• AIoT interoperability• AIoT cybersecurity• AIoT: edge-cloud-IoT convergence• AIoT for Industry 5.0• AIoT use cases (homes, cities, regions, manufacturing, healthcare, transportation, agriculture, etc...) Topic editors: Karl Andersson, Eric Rondeau, Ah-Lian Kor, Mei Choo Ang, Satish Kumar, Moufida Maimour Source: https://www.frontiersin.org/research-topics/80010/artificial-intelligence-of-things-aiot-ecosystem-for-productivity-security-and-sustainability