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Monitoring

Smart assisted living: A data-centric and machine learning approach to intelligent home systems

November 3, 2025 by Md Zia Uddin

Abstract: The evolution of smart homes is marked as one of the most profound integrations of artificial intelligence (AI) into everyday life. Novelty gadgets or remote-controlled devices no longer define modern intelligent living spaces; instead, they are recognized as cognitive ecosystems capable of perceiving environmental and behavioral cues; learning from routine patterns; … [Read more...] about Smart assisted living: A data-centric and machine learning approach to intelligent home systems

Advancing conservation: Internet of Things-driven initiatives for marine animal rescue due to climate changes [Climate Change]

March 6, 2024 by Rahul Sanmugam Gopi, Rajkumar Ramasamy, M. David Honesty Babu

Beneath the expansive oceans lies a complex ecosystem where marine animals, from whales to delicate coral polyps, sustain the vitality of the marine environment. However, these creatures are facing significant challenges due to evolving climate changes. Rising sea temperatures, ocean acidification, habitat degradation, and increasing natural disasters threaten their … [Read more...] about Advancing conservation: Internet of Things-driven initiatives for marine animal rescue due to climate changes [Climate Change]

Robotic training program for astronauts using mixed reality: A concept study

November 7, 2023 by Stephane Rondeau

In the last decade, we have witnessed rapid technology advancements associated with AR, VR, and MR devices. This has led to several business- and consumer oriented products becoming available on the market. Over the years, both start-ups and major companies have developed fascinating and accessible devices, opening many new possibilities in various domains. The new … [Read more...] about Robotic training program for astronauts using mixed reality: A concept study

Monitoring water health with autonomous single-rotor unmanned aerial vehicles

March 2, 2023 by Ankit Bhat

Harmful algae blooms (HABs) regularly occur in the Great Lakes in Canada, particularly in Lake Erie. These HABs produce a toxin called microcystin , which can cause liver damage, numbness, and vomiting in both humans and animals (National Oceanic and Atmospheric Administration [NOAA], 2017). Lake Erie experienced one of its worst HABs in 2019. These HABs do not show signs of … [Read more...] about Monitoring water health with autonomous single-rotor unmanned aerial vehicles

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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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