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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, and natural language processing–Thakur’s groundbreaking The post Computing’s Top 30: Nirmalya Thakur appeared first on IEEE Computer Society.

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, termed as digital retina, has The post IEEE Std 3161TM-2022: Breaking Bottlenecks of Large-Scale Video Data Aggregation, Storage, and Computing in Smart Cities – Standard for Digital Retina Systems appeared first on IEEE Computer Society.

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 on emerging challenges, and supporting The post Introducing our esteemed 2024 TCMC Impact Award Recipient appeared first on IEEE Computer Society.

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 the 75th anniversary of ISEF—the The post IEEE Member Shrinivass A.B. Serves as Judge at Regeneron ISEF 2025, Celebrating Innovation at the Intersection of Technology and Humanity appeared first on IEEE Computer Society.

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 the latest research in his The post Computing’s Top 30: Dwith Chenna appeared first on IEEE Computer Society.

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 Fister and George K. Thiruvathukal The post AI in Hiring: Examining Biases and Human Experience appeared first on IEEE Computer Society.

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 for IEEE Transactions on Quantum The post Conserving Qubits by Using Dissipative VQAs for Thermal Prep appeared first on IEEE Computer Society.

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 entire industries. A recent paper The post Quantum Hardware Readiness for Two-Step Quantum Search Algorithm appeared first on IEEE Computer Society.

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 Fister and George K. Thiruvathukal The post AI in Hiring: Examining Biases and Human Experience appeared first on IEEE Computer Society.

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, audio, and video—just as humans The post Demystifying Multi-Modal AI appeared first on IEEE Computer Society.