RSAI 2020 : Research on Sustainability and Artificial Intelligence

Artificial intelligence (AI) has already shown its capacity to resolve realistic sustainability-related problems, and it has successfully contributed to many fields in terms of economy, business, management, environment, resources, ecology, society and individuals, energy, etc.

Recent advances in AI features include the invention of deep neural networks, which are a subset of machine learning, using a model inspired by the structure of the brain. It has been rapidly developed in recent years, in terms of both methodological development and practical applications. It provides computational models of multiple processing neural-network layers to learn and represent data with multiple levels of abstraction. It can implicitly capture intricate structures of large-scale data and is ideally suited to some of the hardware architectures that are currently available.

This problem-solving oriented Special Issue will cover a broad range of topics, applying the latest and emerging theoretical and technical advancements of artificial intelligence, particularly deep learning methods, to various realistic sustainability problems.