About the Conference
The rapid breakthroughs in information technologies have driven substantial developments in Artificial Intelligence applications, particularly the widespread use of deep learning techniques and Generative AI in domains such as speech, image, and text recognition. Nowadays, AI utilizes machine learning and deep learning techniques to construct Intelligent Media (IM) and provide sustainable technology solutions. Sustainable Technology Management (STM) refers to the practice of using technology in a way that minimizes environmental impact and maximizes long-term sustainability. Therefore, there is an increasing need for a more complete understanding of Intelligent Media and Sustainable Technology Management.
The term Intelligent Media (IM) encompasses the integration of AI and machine learning into media to create adaptive, interactive, and context-aware content and systems. It explores all computational issues and machine learning aspects related to evolutionary computation, bio-inspired computing, neuro-computing, and fuzzy computing, as well as other state-of-the-art computing paradigms. Intelligent Media seeks to enhance media platforms and experiences by leveraging AI technologies to improve functionality, adaptability, and user engagement. Importantly, innovative computing can be applied and adopted in different industries, such as business administration, sales and marketing, finance, social networks, e-commerce, healthcare, and other domains integral to daily life. The evolutionary mechanisms and real-world applications of innovative computing need to be investigated in greater depth to unlock their full potential.
Sustainable Technology Management (STM) is a field that integrates sustainability principles with the practice of managing technological resources. It focuses on planning, developing, implementing, and monitoring technologies that are environmentally friendly, economically sustainable, and socially beneficial. STM involves integrating environmental, economic, and social sustainability principles into all aspects of technology management to minimize negative impacts and promote long-term benefits. It includes considerations of resource efficiency, eco-friendly design, lifecycle assessment, pollution reduction, economic viability, and social responsibility. Research in this area is based on foundational disciplines such as economics, environmental science, engineering, management, sociology, and statistics, with a focus on sustainability-driven technology practices that contribute to environmental protection, resource conservation, and social well-being.
This conference aims to bring together researchers, engineers, and pioneers from both academia and industry to report on, review, and exchange the latest progress in Intelligent Media and Sustainable Technology Management, to explore future directions of research, and to promote better experiences in different fields. We welcome papers that focus on theoretical studies, practical applications, experimental prototypes, along with survey papers.
