Trends
In-depth analysis of the latest tech trends, with highlights of the top research from the world's standard-bearer for computing professionals.
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By IEEE Computer Society Team
Quantum annealing (QA) has emerged as an effective way to find the optimal solution using a large dataset. While this has applications in an endless variety of use cases, its application in the realm of finance may be one of the fastest ways for researchers to realize a significant ROI in their annealing work.
Yao-Hsin Chou, Ching-Hsuan Wu, Pei-...
By Rambabu Bandam
Introduction
Standard large language models (LLMs) possess vast knowledge but struggle with limitations like hallucinations and accessing real-time information due to their static training data. This has spurred the development of dynamic AI architectures. Retrieval-Augmented Generation (RAG) has emerged as a key solution, integrating extern...
By Rambabu Bandam
Bridging the Visual Gap with Sound in 2025
As AI innovations reshape technology landscapes in 2025, accessibility for visually impaired users is gaining unprecedented momentum. Currently, an estimated 285 million people globally experience some degree of visual impairment, limiting their ability to fully engage with visually driven data envi...
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 hours in the library after school, rifling through reference books. Fast f...
By Vaibhav Pandey
The convergence of artificial intelligence (AI), machine learning (ML), and quantum computing unlocks groundbreaking advancements in software engineering. Quantum computing accelerates ML model training, solves complex optimization problems, and enables new AI architectures that classical computing struggles to support. At the same time, AI and M...
By Rambabu Bandam
Artificial intelligence (AI) has rapidly permeated every facet of modern life, seamlessly performing tasks ranging from trivial errands to complex decision-making processes. The allure of AI lies predominantly in its unmatched potential for efficiency, convenience, and accuracy. However, this unprecedented convenience brings with it a hidden yet ...
By Michael Martin
Digital twins—virtual models that simulate real-world city dynamics—are transforming urban transportation and mobility planning. These intelligent systems integrate real-time data, machine learning (ML) algorithms, and transportation research to optimize citywide solutions. By simulating traffic patterns, travel demand, and road dynamics, cit...
By Eric Arnold
Since its conception in the 1980s, quantum computing (QC) has presented academia and industry with numerous challenges as the technology has scaled. While QC systems have grown exponentially, with qubit numbers per system increasing from single digits to more than a thousand, a byproduct of this growth is a fragmented software and hardware ecosys...
By Randy Rozema
Integrating physical and virtual testing environments into research and development (R&D) is rapidly moving from a cutting-edge concept to standard practice across many industries. Organizations that take this approach gain a variety of benefits that improve efficiency. Among the advantages is the ability to minimize prototype builds, optimize te...
By Jiewu Leng
Introduction
The rapid development of electronic products results in a significant need for either upgrading existing electronics production lines (EPLs) or designing newEPLs. Changes in product orders also lead to a frequent reconfiguration of electronics production lines. However, due to unreasonable design, many EPLs fail to meet the init...
By Isla Banda
AI is having a major impact on society, from consumer technologies to driving businesses. But among all these large language models and deep neural networks, there are lurking inefficiencies that most people aren't taking into account. Wasted computational power, hidden costs, the environmental footprint, and more. Whether these inefficiencies ar...
By Kunal Khanvilkar
Ensuring regulatory compliance is a high-stakes challenge across industries. Banks, payroll processors, and legal firms alike grapple with complex rules and massive data — and the consequences of failure are severe. In 2024, U.S. regulators fined Citigroup $136 million for falling short in fixing data management issues flagged years prior [1]. In...
By Isla Banda
Consensus in blockchain isn't just a technical problem—it's an intellectual minefield. You've got decentralized nodes spread across the globe, each operating under different assumptions, with varying latencies, incentives, and potential motivations, and yet they're all expected to come to the same conclusion about the state of a distributed led...
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 digit...
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 an...
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 hours in the library after school, rifling through reference books. Fast f...
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, t...
By IEEE Computer Society Team
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 the objects have ...
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 st...
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, audio, and video—...
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