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What if a real-time automated decision-making process needs a computer vision system to produce photorealistic visuals in a mere fraction of a second? In many cases, this requires too much computational power — if it’s even possible at all. When computer vision uses 3D Gaussian splatting (3DGS), it provides a…
By Isla Banda
They aren’t your average hires. They don’t glide through job interviews or thrive in open-plan offices. But when it comes to pattern recognition, threat modeling, or zero-day hunting, neurodiverse individuals often outperform their peers. And yet, they remain largely untapped in the cybersecurity workforce. If we’re serious about fortifying digital…
By Amod Agrawal
Introduction From fitness trackers to smart speakers, mobile sensing has quietly become ubiquitous, embedding itself into our daily lives. These devices are capable of monitoring motion, detecting presence, identifying user activities, and even inferring health conditions, sometimes without any user interaction. As these applications grow and become central to smart…
By IEEE Computer Society Team
An interview with Gurindar Sohi, recipient of the 2025 Computer Pioneer Award Gurindar (Guri) Sohi, Vilas Research Professor, John P. Morgridge Professor, and E. David Cronon Professor of Computer Sciences, Computer Science Department, University of Wisconsin-Madison, Madison, Wis., U.S.A., has remained in the same office at the university since 1987…
By Madhu Chavva
Back in the 90s, when I was in school, education was like a uniform everyone had to wear—the same textbooks, the same blackboard, and the same hurried lessons for all. If you fell behind, your only lifeline was to awkwardly raise your hand in the middle of class or spend…
By IEEE Computer Society Team
From tackling the spread of COVID-19 misinformation on social media to his award-winning research on fall detection and indoor localization for ambient assisted living, Nirmalya Thakur actively engages with issues of critical importance to humans and their well-being. Residing at the intersection of various fields–including big data, HCI, machine learning,…
By Yaowei Wang, Wenwu Zhu, Wen Ji, et al.
Introduction Ubiquitous camera networks in smart cities create massive amounts of images and videos at a range of spatial-temporal scales. However, the capabilities of visual processing systems often lag behind the rapid growth of video data and city brain system. To address this challenge, a novel collaborative visual computing framework,…
By Min Chen
The IEEE Technical Community on Multimedia Computing (TCMC) is dedicated to advancing research and practice in systems that synchronize and process diverse media types—including audio, video, text, and animation—for the effective communication of information. TCMC serves as a key platform for the multimedia computing community, promoting innovation, offering technical guidance…
By IEEE Computer Society Team
In May 2025, IEEE Computer Society member and technology professional Shrinivass Arunachalam Balasubramanian joined an international panel of experts at the Regeneron International Science and Engineering Fair (ISEF), serving as a Grand Award Judge in the Technology That Enhances the Arts (TECA) category. Held in Columbus, Ohio, the event marked…
By IEEE Computer Society Team
For Dwith Chenna, actively engaging with professional organizations isn’t an obligation, it’s enlightened self-interest. Through this work with IEEE Computer Society and other organizations, he regularly connects with and learns from other professionals that he’d never encounter in daily life; through his work with conferences and publications, he engages with…
While camouflage gives wildlife and military vehicles a strategic survival advantage, it poses challenges, both for human and computer vision systems. For more on this topic, see our article on computer vision for disaster responses. It is difficult enough to detect objects designed to blend with their environments, but when…
Is artificial intelligence streamlining the hiring process, or is it just automating old biases in new ways? As employers increasingly turn to artificial intelligence for recruitment and hiring processes, researchers are raising important questions about the technology’s effectiveness in creating fair opportunities for all candidates. A recent study by Theresa…
By IEEE Computer Society Team
Variational quantum algorithms (VQAs) play a significant role in improving the efficiency and accuracy of quantum computers. However, they come with high noise levels, which degrade their performance. Even though current techniques can mitigate their noise, they involve excessive computational overhead, which limits their feasibility. However, in a paper written…
By IEEE Computer Society Team
The traveling salesman problem (TSP) has challenged computer scientists for decades. Finding the shortest route that visits all cities exactly once sounds simple, but it becomes computationally explosive as the number of destinations grows. With applications spanning logistics, manufacturing, and network optimization, any breakthrough in solving TSP efficiently could transform…
Is artificial intelligence streamlining the hiring process, or is it just automating old biases in new ways? As employers increasingly turn to artificial intelligence for recruitment and hiring processes, researchers are raising important questions about the technology’s effectiveness in creating fair opportunities for all candidates. A recent study by Theresa…
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