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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…
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…
By Akhil Ramachandran
Artificial Intelligence has come a long way in understanding language, recognizing images, and interpreting sound—but what happens when it can do all of that at once? That’s where Multi-Modal AI steps in: a new frontier where machines learn to process and combine information from different types of input—like text, images,…
By IEEE Computer Society Team
Seznec is recognized for seminal work in branch prediction and cache memories LOS ALAMITOS, Calif., 17 June 2025 – The IEEE Computer Society (CS) is pleased to announce the recipient of the 2025 ACM-IEEE CS Eckert-Mauchly Award: André Seznec, SiFive Fellow on leave from INRIA/IRISA. The award honors Seznec’s extensive…
The ability of AI-powered systems to make decisions based on complicated sets of data has introduced speed and efficiency to hiring, the loan approval process, fraud detection, and more. But has it enhanced accuracy? Many would argue no, especially those impacted by biased hiring algorithms, including employees and employers. One…
By Rahul Bhatia, SAP S/4 HANA Cloud Solution Architect, London, United Kingdom
Introduction The “SAP S/4HANA Cloud” and “SAP S/4HANA On Premise” are two deployment options which address the independent needs of the business. “SAP S/4HANA Cloud” is a Software as a Service (SaaS) hosted product, maintained by SAP, and automatically upgraded on a quarterly basis. It provides scalability and agility, which…
Predicting how users will engage with ads can be challenging. Traditionally, advertising companies use cookies and embedded monitoring codes that produce a record of how users engage with ad content. But when it comes to predicting user engagement ahead of time, a novel approach is needed. Zhong Ding of Xinjiang…
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