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                    <title>Computer Science News | Technology News | Computer Science Technology | Computer Sciences </title>
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            <description>The latest news on computer science, computer science technology, computer science technologies and technology science. </description>

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                    <title>World-first spintronic p-bit on silicon chip points toward larger AI-ready p-computers</title>
                    <description>A Japan–U.S. collaborative research team has demonstrated the world&#039;s first integrated spintronic probabilistic bit, or p-bit, fabricated on a silicon chip using semiconductor manufacturing processes. The team, consisting of researchers from Tohoku University and the National Institute of Standards and Technology, experimentally verified the operation of the p-bit, a key building block for probabilistic, or p-, computers. The achievement provides a pathway toward large-scale spintronic p-computers for applications such as AI and machine learning.</description>
                    <link>https://techxplore.com/news/2026-06-world-spintronic-p-bit-silicon.html</link>
                    <category>Electronics &amp; Semiconductors</category>                    <pubDate>Tue, 02 Jun 2026 10:40:03 EDT</pubDate>
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                    <title>Quantum computers could expose our digital secrets, but there are much better reasons to build them</title>
                    <description>Quantum computers are coming. Or, at least, that&#039;s what current predictions say. These machines harness the power of quantum mechanics, the set of rules governing how physics operates at atomic and sub-atomic scales.</description>
                    <link>https://techxplore.com/news/2026-06-quantum-expose-digital-secrets.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Mon, 01 Jun 2026 16:40:01 EDT</pubDate>
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                    <title>Computer scientists clear a path to stream 3D &#039;volumetric&#039; video</title>
                    <description>New research by Brown University computer scientists may be a key step in bringing volumetric video—video that can be viewed from virtually any perspective in a 3D scene—to computers and smart televisions.</description>
                    <link>https://techxplore.com/news/2026-05-scientists-path-stream-3d-volumetric.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Sat, 30 May 2026 09:00:01 EDT</pubDate>
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                    <title>Childlike AI uncovers why language grows more structured across generations</title>
                    <description>New research from the University of the Witwatersrand, South Africa, has significant implications for understanding both human language development and the behavior of large-scale artificial intelligence language models.</description>
                    <link>https://techxplore.com/news/2026-05-childlike-ai-uncovers-language-generations.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Wed, 27 May 2026 14:40:05 EDT</pubDate>
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                    <title>Physics-aware AI generates more realistic sounds by estimating mass and velocity from video</title>
                    <description>When people watch a scene in the film &quot;Jurassic Park&quot; where a giant dinosaur walks toward them, they naturally imagine a heavy, rumbling sound, as if the ground were shaking. This is because humans predict sound by considering not only the shape of an object, but also physical properties such as its size, weight, and speed of movement. However, existing video-to-audio generation AI mainly generates sound based on the category of objects or scene information in the video, and has not sufficiently reflected physical properties that vary depending on weight or speed.</description>
                    <link>https://techxplore.com/news/2026-05-physics-aware-ai-generates-realistic.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Wed, 27 May 2026 09:40:03 EDT</pubDate>
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                    <title>Unstable software tests ripple through 55% of OpenStack projects, costing 1,156 developer days</title>
                    <description>In a study published in IEEE Transactions on Software Engineering, researchers from Kyushu University have found that &quot;flaky tests,&quot; which are unstable software tests that seem to randomly pass or fail, do not stay confined to the projects they originate in and often spread across entire ecosystems.</description>
                    <link>https://techxplore.com/news/2026-05-unstable-software-ripple-openstack-days.html</link>
                    <category>Software</category>                    <pubDate>Tue, 26 May 2026 08:00:04 EDT</pubDate>
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                    <title>GitHub workflows unlock what really speeds software innovation</title>
                    <description>In a bustling restaurant kitchen, efficiency requires more than just machines that wash dishes or chop vegetables. It requires a conductor to ensure the appetizer, main course, and dessert are prepared in the right sequence, that the right chef gets the right order, and that the correct dish reaches the right table on time.</description>
                    <link>https://techxplore.com/news/2026-05-github-workflows-software.html</link>
                    <category>Software</category>                    <pubDate>Mon, 25 May 2026 10:40:01 EDT</pubDate>
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                    <title>Enhanced YOLO framework boosts 360-degree small-object detection to 90% accuracy</title>
                    <description>Omnidirectional cameras are widely popular as they capture a full 360-degree view. They are often utilized for surveillance, traffic analysis, and autonomous systems. But the same wide-angle vision also leads to a technical problem. Objects far from the camera often appear distorted and tiny, making it difficult for computer vision systems to accurately recognize them.</description>
                    <link>https://techxplore.com/news/2026-05-yolo-framework-boosts-degree-small.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Fri, 22 May 2026 14:00:04 EDT</pubDate>
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                    <title>Researchers discover novel IT attacks—the defense mechanism is already operational</title>
                    <description>Researchers at the University of Stuttgart&#039;s Institute of Information Security have developed a new security standard to counter a novel form of cyberattack—one they had previously identified themselves. The attacks specifically target web protocols used, for example, to manage login processes. This affects, among others, industries that handle sensitive data—such as health care, insurance, and banking. Researchers from Stuttgart will present their defense mechanism at the IEEE Symposium on Security and Privacy (SP2026) held in San Francisco May 18–21.</description>
                    <link>https://techxplore.com/news/2026-05-defense-mechanism.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Thu, 21 May 2026 14:00:03 EDT</pubDate>
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                    <title>Researchers improve AI&#039;s ability to learn new tasks without sacrificing performance</title>
                    <description>A new framework allows AI models that have already been trained to learn new tasks without sacrificing performance when performing old tasks. The framework, called CHEEM, also improves an AI model&#039;s operating efficiency by using fewer computational steps to perform simpler tasks.</description>
                    <link>https://techxplore.com/news/2026-05-ai-ability-tasks-sacrificing.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Tue, 19 May 2026 15:40:01 EDT</pubDate>
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                    <title>Researchers break the &#039;memory wall&#039; in large-scale AI training</title>
                    <description>South Korean researchers have successfully developed a core technology that can fundamentally resolve &quot;memory shortages,&quot; a chronic bottleneck in large-scale artificial intelligence (AI) training. This technology is a next-generation memory expansion technology based on Ethernet, which is expected to drive infrastructural innovation across the entire AI and big data industries in the future.</description>
                    <link>https://techxplore.com/news/2026-05-memory-wall-large-scale-ai.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Mon, 18 May 2026 17:40:05 EDT</pubDate>
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                    <title>A novel deep learning architecture for multi-source data fusion</title>
                    <description>Recent years have witnessed the unprecedented development of Industry 4.0 and the Industrial Internet of Things. These two technologies have significantly facilitated data collection from different sources for numerous tasks, such as reconstruction, classification, and prediction, for next-generation applications. However, the effective fusion and interpretation of these multi-source datasets remain challenging, making it a thriving area of research.</description>
                    <link>https://techxplore.com/news/2026-05-deep-architecture-multi-source-fusion.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Fri, 15 May 2026 13:57:02 EDT</pubDate>
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                    <title>Blind ambition: AI agents can turn tasks into digital disasters</title>
                    <description>Computer scientists at UC Riverside have identified troubling flaws in a new generation of artificial intelligence (AI) agents designed to take over routine computer chores while users are away—sorting emails, organizing files, analyzing data, and handling other everyday digital tasks that might otherwise consume hours.</description>
                    <link>https://techxplore.com/news/2026-05-ambition-ai-agents-tasks-digital.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Thu, 14 May 2026 11:00:19 EDT</pubDate>
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                    <title>A single real-world data point may stop AI model collapse, analysis suggests</title>
                    <description>New work explaining the inner workings of artificial intelligence could provide a way around the threat of AI &quot;model collapse,&quot; potentially averting growing numbers of AI hallucinations in the future.</description>
                    <link>https://techxplore.com/news/2026-05-real-world-ai-collapse-analysis.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Thu, 14 May 2026 10:00:01 EDT</pubDate>
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                    <title>Majority voting method provides a smarter way to catch software bugs</title>
                    <description>Researchers from The University of Osaka, Kyushu University, and the University of Victoria have developed a new method called Majority Voting SZZ (MV-SZZ) that accurately identifies defect-inducing software commits. By combining detailed code tracking with a majority voting system, the approach reduces false positives and outperforms existing techniques. This improvement could help developers debug software more efficiently and build more reliable systems. The work is published in the journal IEEE Transactions on Software Engineering.</description>
                    <link>https://techxplore.com/news/2026-05-majority-voting-method-smarter-software.html</link>
                    <category>Software</category>                    <pubDate>Fri, 08 May 2026 12:00:07 EDT</pubDate>
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                    <title>A human-inspired pipeline could enhance the training of computer vision models</title>
                    <description>Over the past few decades, computer scientists have developed increasingly advanced artificial intelligence (AI) systems that can tackle some tasks exceedingly well. These include computer vision models, systems that can rapidly analyze images and categorize them, recognize objects and faces, or make other accurate predictions.</description>
                    <link>https://techxplore.com/news/2026-05-human-pipeline-vision.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Fri, 08 May 2026 09:20:05 EDT</pubDate>
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                    <title>Stress-testing method for cloud computing algorithms helps avoid network failures</title>
                    <description>Researchers from MIT and elsewhere have developed a more user-friendly and efficient method to help networking engineers identify potential system failures before they cause major problems, like a cloud service outage that leaves millions of users unable to access applications.</description>
                    <link>https://techxplore.com/news/2026-05-stress-method-cloud-algorithms-network.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Wed, 06 May 2026 14:40:03 EDT</pubDate>
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                    <title>A simple physics-inspired model sheds light on how AI learns</title>
                    <description>Artificial intelligence systems based on neural networks—such as ChatGPT, Claude, DeepSeek or Gemini—are extraordinarily powerful, yet their internal workings remain largely a &quot;black box.&quot; To better understand how these systems produce their responses, a group of physicists at Harvard University has developed a simplified mathematical model of learning in neural networks that can be analyzed mathematically using the tools of statistical physics.</description>
                    <link>https://techxplore.com/news/2026-05-simple-physics-ai.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Tue, 05 May 2026 00:00:01 EDT</pubDate>
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                    <title>When AI can&#039;t count—and what researchers are doing about it</title>
                    <description>Today, artificial intelligence can describe images, recognize objects, and explain complex relationships. The pace of development is remarkable: So-called vision-language models (VLMs) combine text and image understanding in impressive ways. Yet, of all things, they struggle with a seemingly simple task—counting. Researchers at the Institute for Information Systems (iisys) at Hof University of Applied Sciences are now working to address this issue, with a paper posted to the arXiv preprint server.</description>
                    <link>https://techxplore.com/news/2026-05-ai.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Mon, 04 May 2026 10:20:01 EDT</pubDate>
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                    <title>Computer vision helps observers understand how iconic artworks were created</title>
                    <description>Paintings are often made up of thousands of tiny brushstrokes, each going in a certain direction, that are not easily observed by the viewer. A cross-disciplinary research team from the Penn State College of Information Sciences and Technology (IST) and Loughborough University in England has developed an image analysis method that helps to make the underlying brushstroke structure of paintings visible, giving new insight into how artists physically created their works.</description>
                    <link>https://techxplore.com/news/2026-05-vision-iconic-artworks.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Fri, 01 May 2026 13:00:03 EDT</pubDate>
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                    <title>Who invited whom? A new method protects privacy in online platforms</title>
                    <description>Research conducted by Dr. Sanaz Taheri Boshrooyeh, a Ph.D. graduate of Koç University, Computer Science and Engineering Program, together with Prof. Dr. Alptekin Küpçü and Prof. Dr. Öznur Özkasap, has led to the development of a new scalable method designed to protect user privacy on online platforms that rely on invitation-based registration. The system, called &quot;Anonyma,&quot; prevents even system administrators from identifying who invited a particular user to join the platform, addressing a significant privacy concern in such systems. The research and analysis results were published in Journal of Network and Computer Applications.</description>
                    <link>https://techxplore.com/news/2026-04-method-privacy-online-platforms.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Thu, 30 Apr 2026 15:00:01 EDT</pubDate>
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                    <title>End of black box AI? Scientists develop blueprint for transparent system that reveals how it learns and makes decisions</title>
                    <description>Artificial intelligence that cannot explain how it makes decisions—often called &quot;black box&quot; AI—could soon be replaced by more transparent systems, research suggests. A study by Loughborough University, published in Physica D: Nonlinear Phenomena, outlines a new mathematical blueprint for building AI that can reveal how it learns, remembers, and makes decisions.</description>
                    <link>https://techxplore.com/news/2026-04-black-ai-scientists-blueprint-transparent.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Thu, 30 Apr 2026 13:20:02 EDT</pubDate>
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                    <title>What skills do people need to successfully program with AI?</title>
                    <description>The new trend of &quot;vibe coding&quot; allows people to program software without writing a single line of code. Now, a new study by ETH Zurich published in the Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems has shown that users who want to develop apps and programs successfully with AI need not only a capacity for clear written expression, but also a basic knowledge of computer science.</description>
                    <link>https://techxplore.com/news/2026-04-skills-people-successfully-ai.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Thu, 30 Apr 2026 10:20:04 EDT</pubDate>
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                    <title>Solving the &#039;Whac-a-mole dilemma&#039;: A smarter way to debias AI vision models</title>
                    <description>In today&#039;s hospitals and clinics, a dermatologist may use an artificial intelligence model for classifying skin lesions to assess if the lesion is at risk of developing into a cancer or if it is benign. But if the model is biased toward certain skin tones, it could fail to identify a high-risk patient.</description>
                    <link>https://techxplore.com/news/2026-04-whac-mole-dilemma-smarter-debias.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Thu, 30 Apr 2026 09:20:03 EDT</pubDate>
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                    <title>A new R package facilitates the generation of flowcharts for research studies</title>
                    <description>Representing the pathway of participants in a study is a key element in clinical and epidemiological research. Flow diagrams are the standard tool to do so, as they allow the different stages of the process to be clearly visualized, from initial selection to final analysis, following international guidelines such as CONSORT or STROBE. However, their creation is often laborious. It usually involves manually entering data or programming complex structures, which makes reproducibility more difficult and may increase the risk of errors.</description>
                    <link>https://techxplore.com/news/2026-04-package-generation-flowcharts.html</link>
                    <category>Software</category>                    <pubDate>Wed, 29 Apr 2026 15:40:03 EDT</pubDate>
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                    <title>Brain-inspired approach can teach AI to doubt itself just enough to avoid overconfidence</title>
                    <description>Most contemporary artificial intelligence (AI) systems learn to complete tasks via machine learning and deep learning. Machine learning is a computational approach that allows models to uncover patterns in data that are useful for making predictions. Deep learning, on the other hand, is a subset of machine learning that entails the use of multi-layered neural networks, which can autonomously extract features and learn complex patterns from unstructured data, sometimes with little or no human supervision.</description>
                    <link>https://techxplore.com/news/2026-04-brain-approach-ai-overconfidence.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Wed, 29 Apr 2026 09:00:02 EDT</pubDate>
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                    <title>Can AI quantify beauty? New study suggests it can&#039;t</title>
                    <description>Attempts to define human beauty using artificial intelligence may reveal more about bias in data than universal standards, according to a new analysis from the University of Virginia&#039;s School of Data Science. Using computer vision and statistical modeling, researchers evaluated whether facial features align with the &quot;Golden Ratio,&quot; a mathematical formula often cited as an objective measure of attractiveness. Instead, the analysis found that demographic variation, not mathematical proportion, was the strongest factor shaping model outputs. This challenges long-standing assumptions that beauty can be quantified.</description>
                    <link>https://techxplore.com/news/2026-04-ai-quantify-beauty.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Tue, 28 Apr 2026 17:00:04 EDT</pubDate>
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                    <title>Cyclists feel safer than they really are on busy streets, study finds</title>
                    <description>Cyclists can feel safe at the very moment they are most at risk, according to new Monash research that could reshape how cities design shared streets. The study, published in Accident Analysis &amp; Prevention, found that after a vehicle overtakes a cyclist, riders often experience a short &quot;perceptual relief period&quot; where they feel safer, even though the risk from vehicles behind them remains high.</description>
                    <link>https://techxplore.com/news/2026-04-cyclists-safer-busy-streets.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Tue, 28 Apr 2026 09:40:08 EDT</pubDate>
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                    <title>Teaching AI models to say &#039;I&#039;m not sure&#039; in cases of calibration errors</title>
                    <description>Confidence is persuasive. In artificial intelligence systems, it is often misleading. Today&#039;s most capable reasoning models share a trait with the loudest voice in the room: They deliver every answer with the same unshakable certainty, whether they&#039;re right or guessing. Researchers at MIT&#039;s Computer Science and Artificial Intelligence Laboratory (CSAIL) have now traced that overconfidence to a specific flaw in how these models are trained, and developed a method that fixes it without giving up any accuracy. The team&#039;s research is published on the arXiv preprint server.</description>
                    <link>https://techxplore.com/news/2026-04-ai-im-cases-calibration-errors.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Wed, 22 Apr 2026 16:20:04 EDT</pubDate>
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                    <title>Prompt coaching tool raises user awareness of bias in generative AI systems</title>
                    <description>A coaching tool built into artificial intelligence (AI)-powered systems may raise user awareness of bias in AI algorithms and help individuals better prompt generative AI tools to produce more inclusive content, according to researchers at Penn State and Oregon State University.</description>
                    <link>https://techxplore.com/news/2026-04-prompt-tool-user-awareness-bias.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Thu, 16 Apr 2026 08:00:02 EDT</pubDate>
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