IEEE Computer Society
The Lore and Legend of SC’s SCinet
Every year at the high-performance computing (HPC) conference SC, a team of more than 200 dedicated volunteers from upwards of 80 organizations come together to develop SCinet, one of the world’s fastest temporary networks. As a co-sponsor of SC,...
Adapting to Industry Changes in an AI-Driven Futur...
“AI won’t take your job; someone using AI will,” according to Forbes. It’s hard to open LinkedIn or a news app without being inundated with artificial intelligence (AI) upheaval. From new large language models (LLMs) to consumer apps to...
Curiosity Drives Broad Innovation and Real-world S...
An Interview with Dr. Jiebo Luo – 2025 2025 Edward J. McCluskey Technical Achievement Award Recipient Dr. Jiebo Luo, the Albert Arendt Hopeman Professor of Engineering and Professor of Computer Science at the University of Rochester, is a visionary...
Computing’s Top 30: Mohamed Shehata
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...
Interdisciplinary Computing and Education for Real...
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....
Computing’s Top 30: Theofanis Raptis
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....
IEEE 3152: A Standard for Transparent Human and Ma...
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...
Bridging the Governance Gap: AI, Risk, and Enterpr...
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...
How to Prepare for Leadership Roles in Software En...
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...
The New Face of Data Engineering: No-Code, High Ve...
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...
From Classroom to Career: Skills That Shape Your P...
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...
Computing’s Top 30: Kiran V K
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...
Bootstrapping the Future: From Resource Estimation...
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...
Hallucinations in AI Models: What They Mean for So...
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....
Unlocking Real-Time Supply Chain Analytics with GP...
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...