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The magazine for high-tech innovators

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Past Columns / Departments

Building the future in 24 hours: How student AI innovators turned ideas into real-world solutions [IEEE Student Activities]

August 5, 2026 by Bhumika Shah

Artificial intelligence (AI) is often discussed in conference rooms, research labs, and corporate strategy meetings. But sometimes, the clearest picture of AI’s future appears somewhere very different: inside a university student center at 9 P.M., where students are debugging code, refining project scope, testing ideas, and trying to turn an ambitious concept into a working … [Read more...] about Building the future in 24 hours: How student AI innovators turned ideas into real-world solutions [IEEE Student Activities]

IEEE Women in Engineering: Toward a more diverse industry [IEEE Student Activities]

August 5, 2026 by Moira Prates, Ilana Kelly Barboza Lima, Andressa Xavier e Souza Carvalho, Sofia Vale Sacramento, Helen Dandara Lima Ferreira

For many women in engineering, getting into the industrial environment still means facing barriers, stereotypes, and uncertainty about their place in the technical field. This difficulty increases when focusing on leadership positions. The challenges related to diversity and inclusion in advanced stages of technical and leadership careers remain present in many sectors … [Read more...] about IEEE Women in Engineering: Toward a more diverse industry [IEEE Student Activities]

Educational transformation: Decentralized decision integration using blockchain [Essay]

August 5, 2026 by Harun Joko Prayitno, Adi Jufriansah, Flora Ramona Sigit Prakoeswa, Yunus Sulistyono, Naufal Ishartono, Yasir Sidiq, Azmi Khusnani, Chandra Anugrah Putra

Blockchain is a distributed ledger that is simultaneously decentralized. Nodes on various blockchain networks store the whole transaction history. The immutability of blockchain technology lowers the danger of fraud. This technology provides a safe and practical answer for a wide range of educational needs, including digital certification and recording. General concerns that … [Read more...] about Educational transformation: Decentralized decision integration using blockchain [Essay]

When the agent pulled the trigger [Editorial]

August 5, 2026 by John Benedict Boggala

Somewhere in Anthropic’s API logs, in the middle of September 2025, an autonomous agent began issuing thousands of network requests per second against a list of roughly thirty organizations: large technology firms, financial institutions, chemical manufacturers, and government agencies. It mapped attack surfaces. It discovered vulnerabilities. It wrote exploit code, harvested … [Read more...] about When the agent pulled the trigger [Editorial]

Social engineering: Where does the risk lie? [Editorial]

August 5, 2026 by Moira Prates

Over the years, humanity has become increasingly dependent on technology, and with these advances, it has become increasingly necessary to protect the massive amount of data generated every day. This is where cybersecurity comes in: protecting systems, networks, and data from unauthorized access and various attacks. For more about this article see link … [Read more...] about Social engineering: Where does the risk lie? [Editorial]

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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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