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Computational modeling

Challenges in simulation of digital twins: A review

May 28, 2025 by Dhanush L. Prakash, Nidhi B. C., Gopalakrishna H. D.

The digitalization of manufacturing processes is on the rise, marking the development of Industry 4.0 and the emergence of smart factories. Digital twins (DTs), which are digital replicas of physical assets or processes, are being utilized to enhance business applications. In the manufacturing sector, DTs can be created for asset-specific production lines or even entire … [Read more...] about Challenges in simulation of digital twins: A review

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

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About the Magazine

IEEE Potentials Magazine is the publication dedicated to undergraduate and graduate students and young professionals. IEEE Potentials explores career strategies, the latest in research, and important technical developments. Through its articles, it also relates theories to practical applications, highlights technology’s global impact, and generates international forums that foster the sharing of diverse ideas about the profession.

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Privacy implications of facial recognition technology

Facial recognition technology (FRT) has experienced enormous growth and rapid deployment across different sectors of the society in recent years, mostly motivated by safety, security, and commercial applications. However, major privacy questions arise around this technology, and regulators are still working to provide clear set of rules governing its use. This paper focuses on privacy implications of FRT usage. Specifically, we first present the definition of FRT, followed by an analysis of the vulnerability and risks that can potentially arise and how they might be concerning in such context. Finally, we discuss efforts needed to mitigate privacy concerns related to FRT, from both technical and regulatory perspectives.

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