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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 cloud service makes full use of quantum computing capacity</title>
                    <description>Researchers in Japan have developed quantum multi-programming auto mode, a function that automatically runs quantum programs from different users in parallel. Launched on the Center for Quantum Information and Quantum Biology (QIQB) quantum computer cloud service at the University of Osaka, the system reduces idle qubit resources, improves throughput and may help ease congestion in quantum cloud computing.</description>
                    <link>https://techxplore.com/news/2026-06-world-cloud-full-quantum-capacity.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Thu, 11 Jun 2026 11:20:03 EDT</pubDate>
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                    <title>What confusing code does to developers: Brain and eye tracking reveal surprise response</title>
                    <description>How do software developers respond when they come across code they do not intuitively understand? Neuropsychologists have now explored this question by recording brain activity alongside eye movements. A team of psycholinguists then compared the findings with established patterns from natural language processing and identified some surprising parallels. The interdisciplinary team from Saarland University and Chemnitz University of Technology has now published its study in Scientific Reports.</description>
                    <link>https://techxplore.com/news/2026-06-code-brain-eye-tracking-reveal.html</link>
                    <category>Software</category>                    <pubDate>Wed, 10 Jun 2026 13:20:47 EDT</pubDate>
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                    <title>Thirty-five AI comedians walked into a workshop, and what happened next could reshape how machines learn humor</title>
                    <description>Workshopping, an iterative process in which creators share ideas, test what works and refine what doesn&#039;t through collective feedback, is at the heart of any writers group. This collaborative dynamic inspired George Mason University Ph.D. student Shiwei Hong to explore whether artificial intelligence (AI) could benefit from a similar approach.</description>
                    <link>https://techxplore.com/news/2026-06-ai-comedians-workshop-reshape-machines.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Wed, 10 Jun 2026 12:20:03 EDT</pubDate>
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                    <title>AI worldview convergence claim weakens as high-dimensional math skews similarity scores</title>
                    <description>Two years ago, researchers at MIT proposed a provocative idea: As AI models become more powerful, they begin to see the world in the same way. But not everyone was convinced, and now EPFL scientists have shown that the picture is more nuanced.</description>
                    <link>https://techxplore.com/news/2026-06-ai-worldview-convergence-weakens-high.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Mon, 08 Jun 2026 13:40:08 EDT</pubDate>
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                    <title>Grounded in reality, new AI model spots fake images with less training</title>
                    <description>Artificial intelligence (AI)-generated images have become increasingly more sophisticated than early ones that showed humans with more than five fingers on a hand, making it even harder to determine whether photos are authentic. Now, a team of computer scientists in the McKelvey School of Engineering at Washington University in St. Louis has developed a model that can detect fake images by learning which are real.</description>
                    <link>https://techxplore.com/news/2026-06-grounded-reality-ai-fake-images.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Fri, 05 Jun 2026 13:00:06 EDT</pubDate>
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                    <title>AI fails classic attention test, with longer word lists triggering dramatic accuracy collapse</title>
                    <description>Giving AI a classic psychological test reveals an inherent weakness in LLM decision-making abilities. Suketu Patel and colleagues explored how transformer-based machine attention differs from human attention by testing AI models on the &quot;Stroop task,&quot; in which words for colors are printed in colored ink, and participants are asked to name the ink color of each word while ignoring its meaning.</description>
                    <link>https://techxplore.com/news/2026-06-ai-classic-attention-longer-word.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Fri, 05 Jun 2026 12:00:06 EDT</pubDate>
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                    <title>Framework generates &#039;shadow art&#039; from scan of any object</title>
                    <description>Some people have a gift for creating beautiful works of art. Others appreciate art but do not have the talent to create it. Researchers at Cornell Tech and the Cornell Bowers College of Computing and Information Science have created an artificial intelligence framework, ShadowDraw, that can create &quot;shadow art&quot;—partial line drawings that are completed by the shadow cast from an object—by simply scanning the object.</description>
                    <link>https://techxplore.com/news/2026-06-framework-generates-shadow-art-scan.html</link>
                    <category>Consumer &amp; Gadgets</category>                    <pubDate>Thu, 04 Jun 2026 13:00:02 EDT</pubDate>
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                    <title>ChartNet trains AI to read charts, boosting smaller models past commercial rivals</title>
                    <description>To accelerate and refine decision-making in a fast-paced, global marketplace, enterprises may deploy generative artificial intelligence models to help summarize and interpret the charts that often fill market summaries and financial reports.</description>
                    <link>https://techxplore.com/news/2026-06-chartnet-ai-boosting-smaller-commercial.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Wed, 03 Jun 2026 13:40:05 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>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>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>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>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>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>AI chatbot teaches AI &#039;student&#039; to love owls, even after data is scrubbed</title>
                    <description>Large language models (LLMs) can teach other algorithms unwanted traits, which can persist even when training data has been scrubbed of the original trait, according to new  research published in Nature. In one example, a model seems to transmit a preference for owls to other models via hidden signals in data. The findings demonstrate that more thorough safety checks are needed when producing LLMs.</description>
                    <link>https://techxplore.com/news/2026-04-ai-chatbot-student-owls.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Wed, 15 Apr 2026 15:40:04 EDT</pubDate>
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                    <title>CacheMind turns chip tuning into a conversation, exposing hidden cache failures and lifting processor performance</title>
                    <description>Researchers at North Carolina State University have developed a new AI-assisted tool that helps computer architects boost processor performance by improving memory management. The tool, called CacheMind, is the first computer architecture simulator capable of answering arbitrary, interactive questions about complex hardware-software interactions.</description>
                    <link>https://techxplore.com/news/2026-04-cachemind-chip-tuning-conversation-exposing.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Wed, 15 Apr 2026 11:40:02 EDT</pubDate>
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                    <title>Perfect alignment between AI and human values is mathematically impossible, study says</title>
                    <description>Perfect AI alignment with human values and interests is mathematically impossible, according to a study, but behavioral diversity among AI agents offers the promise of some control. Published in PNAS Nexus, Hector Zenil and colleagues used Gödel&#039;s incompleteness theorem and Turing&#039;s undecidability result for the Halting Problem to show that any LLM complex enough to exhibit general intelligence or superintelligence will also be computationally irreducible and produce unpredictable behavior, making forced alignment impossible.</description>
                    <link>https://techxplore.com/news/2026-04-alignment-ai-human-values-mathematically.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Tue, 14 Apr 2026 12:20:08 EDT</pubDate>
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                    <title>AI fixes &#039;temporal errors,&#039; enhancing reliability in medical and legal fields</title>
                    <description>What if ChatGPT answered with the name of a minister from a year ago when asked, &quot;Who was the minister inaugurated last month?&quot; This is a prime example of the limitations of AI that fails to properly reflect the latest information. A KAIST research team has developed a new evaluation technology that automatically reflects changing real-world information while catching &quot;temporal errors&quot; that may appear correct on the surface. This is expected to drastically improve AI reliability.</description>
                    <link>https://techxplore.com/news/2026-04-ai-temporal-errors-reliability-medical.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Tue, 14 Apr 2026 08:40:04 EDT</pubDate>
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                    <title>Revealing the hidden logic behind AI&#039;s judgments of people</title>
                    <description>In a world where artificial intelligence is quietly shaping who gets hired, who receives loans, and even how medical decisions are made, a new question is emerging: How does AI judge us? A new study by Prof. Yaniv Dover and Valeria Lerman from Hebrew University suggests the answer is both reassuring and deeply unsettling. The study is published in the journal Proceedings of the Royal Society A Mathematical Physical and Engineering Science.</description>
                    <link>https://techxplore.com/news/2026-04-revealing-hidden-logic-ai-judgments.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Mon, 13 Apr 2026 17:00:01 EDT</pubDate>
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