Computational modeling

Harmony and algorithm: Exploring the advancements and impacts of AI-generated music

December 27, 2024 by Tsen-Fang Lin, Liang-Bi Chen

Artificial intelligence (AI)-generated music has become a topic of great interest in the contemporary music industry. With the increasing development and popularization of AI technology, AI-generated music is no longer just a future prediction but a reality. The emergence of AI can help creators explore new possibilities during the creative process, find fresh sources of … [Read more...] about Harmony and algorithm: Exploring the advancements and impacts of AI-generated music

Computational approaches in mental health

May 24, 2024 by Shamal Lalvani, Leandros Stefanopoulos, Nicos Maglaveras, Aggelos K. Katsaggelos

< In the past few decades, technology has played a considerable role in medical research. For example, advances in machine learning algorithms have allowed for automatic diagnosis of medical conditions, through techniques involving neuroimaging data, electronic health records and physiological biomarkers. Research in the past few decades has also resulted in a … [Read more...] about Computational approaches in mental health

E-waste management in the digital era: A sustainable computing approach.

In the digital era, the proliferation of electronic devices has led to a surge in electronic waste (e-waste), posing significant environmental and health challenges. This article proposes a sustainable computing approach to e-waste management. The article explores the complexities of e-waste management and recycling frameworks within the context of sustainable computing and applications. It delves into the challenges posed by the rapid advancement of technology and the resultant surge in electronic waste. Strategies to mitigate e-waste are discussed, including approaches in product design. The article emphasizes collaborative efforts to address these challenges effectively. By adopting sustainable computing practices and leveraging innovative solutions, the aim is to create a more sustainable approach to managing electronic waste and its environmental impacts.

Computational modeling

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