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Creativity

Going beyond IQ

April 3, 2026 by Rumjhum Bandyopadhyay, Seema R. Singh

Abstract: Human intelligence is no longer a single concept confined to IQ. The concept of human intelligence has evolved in the last few decades, leading to the exploration of various kinds of human potentials that are effective in dealing with the emerging challenges of the 21st century. The three potentials—namely, emotional intelligence (EI), spiritual intelligence (SI), … [Read more...] about Going beyond IQ

From artificial intelligence to artificial mind: A paradigm shift

December 27, 2024 by Mohammad Ghiasi

Considering the development of artificial intelligence (AI) in various fields, especially the closeness of its function to the human brain in terms of perception and the understanding of sensory and emotional concepts, it can be concluded that this concept is cognitively evolving toward an artificial mind (AM). This article introduces the concept of AM as a more accurate … [Read more...] about From artificial intelligence to artificial mind: A paradigm shift

The power of generative artificial intelligence: Revolutionizing cybersecurity, marketing, and creative industries

December 27, 2024 by Riddhiben Sunitkumar Shah

This article provides a comprehensive overview of generative artificial intelligence (GenAI) by tracing its evolution from early techniques such as Gaussian mixture models (GMMs) to recent advances like generative adversarial networks (GANs) and transformer-based models. Additionally, it outlines various key generative frameworks like variational autoencoders (VAEs), deep … [Read more...] about The power of generative artificial intelligence: Revolutionizing cybersecurity, marketing, and creative industries

Experiential learning in K–12 schools through social innovation projects [STEM Education]

July 10, 2024 by judyosborn

This article discusses the significance of incorporating global challenges, such as the United Nations Sustainable Development Goals (UN SDGs), into STEM education and its positive influence on creativity, innovation, and 21st century skill development for K–12 students. Through the IEEE STEAM for Social Good program, we motivated students from diverse backgrounds to start … [Read more...] about Experiential learning in K–12 schools through social innovation projects [STEM Education]

IEEE Puzzlers—Behind the award-winning brainteaser community

May 24, 2024 by Celine Karam

IEEE Puzzlers is an online community within IEEE that offers challenging mathematical brainteasers to engage and inspire researchers, engineers, and other professionals. The community aims to develop critical thinking, foster creativity, and strengthen the sense of community among IEEE members. Activities include puzzle creation, solving events, and competitions, with badges … [Read more...] about IEEE Puzzlers—Behind the award-winning brainteaser community

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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.

POPULAR ARTICLE

Privacy-preserving distributed learning: Techniques, applications, and future challenges

The rapid increase in data generated by connected devices has created a pressing need for privacy-preserving techniques in distributed learning. This article examines methods that enable collaborative machine learning (ML) while maintaining data security and user privacy. Key approaches such as federated learning (FL), differential privacy (DP), secure multiparty computation (SMPC), and homomorphic encryption (HE) are analyzed for their unique capabilities and various applications. FL facilitates model training across decentralized data sources, ensuring data remain local, while DP mitigates privacy risks by adding controlled noise. SMPC and HE support secure computations on encrypted data, maintaining confidentiality during processing. Despite their effectiveness, these techniques face challenges related to computational complexity, scalability, and regulatory compliance. The article reviews current advancements, practical implementations, and future directions, emphasizing the need for optimized, accessible solutions to enhance data security in distributed systems.

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