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By IEEE Computer Society Team
Among AI’s great promises in relation to medicine is its potential to use existing patient data—including MRIs—to identify and diagnose potential problems. Doing so has many potential benefits, including lower costs and fewer invasive patient procedures. Among the researchers making good on this promising AI potential is Mohamed Shehata. Shehata…
By IEEE Computer Society Team
An Interview with Prof. Vipin Kumar – 2025 Taylor L. Booth Education Award Recipient Prof. Vipin Kumar, a Regents Professor at the University of Minnesota, has wide-ranging research interests, which touch on several fields that have significant impact worldwide. His leadership as an educator in computer science and his authorship…
By IEEE Computer Society Team
Transitioning between two different cultures and professional roles—from working at a university in Greece to joining the National Research Council of Italy—presented Theofanis Raptis with several valuable lessons, including an understanding of what he calls an intellectual “fermentation” process. Triggered by internationalization, bilateral cooperation, and cross-discipline collaborations, this fermentation included…
By Nell Watson
Introduction The rapid rise of artificial intelligence (AI), deepfakes, and automated decision-making systems has made it increasingly difficult for people to tell whether they are communicating with another human being, an AI, or a blend of both. This poses serious questions about trust, security, and social cohesion, especially in high-impact…
By Kapildev Deivasigamani
Artificial intelligence (AI) is redrawing the boundaries of IT governance. Traditional frameworks built around predictability, transparency, and linear systems are ill-suited to AI and machine learning models’ dynamic, opaque, and constantly evolving nature. As organizations expand AI applications across critical sectors like healthcare, finance, and public services, the friction between…
By IEEE Computer Society Team
Struggling between the comfort of an individual contributor (IC) role and the desire to move into software engineering leadership? It’s a tough fork in the road that many engineers face. The idea of stepping away from hands-on technical work to move into leadership requires mastering new skills, stepping into the…
By Nidhin Karunakaran Ponon
Data engineering is experiencing rapid transformation due to artificial intelligence’s (AI) modification of work processes and responsibilities. AI-assisted low- and no-code solutions dominate previously code-heavy processes, delivering streamlined development and reduced complexity. This transition challenges engineers to shift from writing pure extract, transform, and load (ETL) code to managing system…
By IEEE Computer Society Team
Key Takeaways Beyond building technical skills, new software engineers need to develop soft skills that enable them to work well with other team members. Understanding the unique needs of each industry in which a professional wants to work makes it easier to make meaningful contributions to the organization. SWEBOK streamlines…
By IEEE Computer Society Team
In the academic world, professional life can feel like an endless juggle, and keeping those research, teaching, learning, mentoring, and professional contribution balls airborne all at once can be a taxing challenge. Kiran V K, however, views these various responsibilities less like a hectic juggle of discrete tasks and more…
By Eric Arnold
Quantum Algorithms That Work A central problem in quantum computing is the development of domain-specific algorithms that enable real scientific and economic contributions. Quantum algorithms in numerous domains such as finance, chemistry, physics, and biology are being developed with the intention of achieving quantum advantage, i.e. to derive deeper insights…
By Gopinath Kathiresan
Modern businesses are rushing to adopt artificial intelligence (AI) technologies, but this rapid integration comes with unexpected challenges. A phenomenon known as “hallucinations” occurs in large language models (LLMs) and deep learning systems and threatens software quality and trust. These hallucinations occur when AI presents false information as fact. The…
By Paul Chaney
As supply chains generate ever-larger datasets and demand faster decisions, traditional central processing unit (CPU)-based systems are approaching their limits. To meet real-time requirements at scale, developers turn to accelerated computing powered by graphics processing units (GPUs). These massive parallel processors reshape how data is accessed, analyzed, and operationalized across…
By IEEE Computer Society Team
LOS ALAMITOS, Calif., 15 August 2025 – The IEEE Computer Society (CS) is pleased to announce the first recipients of its inaugural Career Catalyst Scholarships. Evaluated by a set of criteria that includes academic performance; technical skills and experience; leadership and extracurriculars; statement of purpose; industry readiness and professionalism; and…
By IEEE Computer Society Team
On a typical mobile device today, financial and medical apps nestled up next to everything from karaoke playlists to time-killing games like Fruit Ninja. How to secure data that matters in this diverse digital buffet is a challenge for many researchers. For Zhihao “Zephyr” Yao, it’s a challenge that fuels…
By Amit Singh
The way we work has fundamentally shifted, with hybrid and remote models becoming a widespread reality. This evolution brings tremendous benefits but also presents significant challenges for IT and security teams tasked with ensuring seamless access to applications and protecting sensitive data outside the traditional corporate perimeter. Traditionally, network deployments…
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