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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>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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                    <title>Mechanical computers use springs and bolts to count, sort odd-even pushes and remember force</title>
                    <description>Published in Nature Communications, researchers from St. Olaf College and Syracuse University built a computer made entirely of mechanical components that can perform simple computations without electricity or batteries.</description>
                    <link>https://techxplore.com/news/2026-04-mechanical-odd.html</link>
                    <category>Engineering</category>                    <pubDate>Mon, 13 Apr 2026 13:40:03 EDT</pubDate>
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                    <title>AI models can fake visual understanding of images that don&#039;t exist</title>
                    <description>It wasn&#039;t long ago that news headlines claimed that AI might soon assist radiologists in interpreting X-rays of broken bones and analyzing mammograms. We are still far from the destination, as a new study has brought to light the mirage effect, where AI creates detailed descriptions of images that do not exist.</description>
                    <link>https://techxplore.com/news/2026-04-ai-fake-visual-images-dont.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Sun, 12 Apr 2026 13:00:02 EDT</pubDate>
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                    <title>Neural interfaces that adapt to you: How game theory could improve wearables and implants</title>
                    <description>There is an exciting future on the horizon—one in which your thoughts could directly control electronic devices you use every day. In many ways, that future is already here, enabled by neural interfaces—engineered devices designed to exchange information with the body&#039;s nervous system. From consumer wearables to clinical devices, electronics controlled by neural interfaces are making their way into the marketplace and medical practice. These technologies are demonstrating potential for augmenting, and even restoring, human capabilities in profound ways.</description>
                    <link>https://techxplore.com/news/2026-04-neural-interfaces-game-theory-wearables.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Sun, 12 Apr 2026 07:00:01 EDT</pubDate>
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                    <title>Compression technique makes AI models leaner and faster while they&#039;re still learning</title>
                    <description>Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational resources. Traditionally, obtaining a smaller, faster model either requires training a massive one first and then trimming it down, or training a small one from scratch and accepting weaker performance.</description>
                    <link>https://techxplore.com/news/2026-04-compression-technique-ai-leaner-faster.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Thu, 09 Apr 2026 15:20:01 EDT</pubDate>
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                    <title>Helping resolve quantum computers&#039; memory problem</title>
                    <description>A major problem with quantum computers is memory, as the information they contain can be quickly lost. Quantum computers are not yet fully reliable—they are far too unstable. However, all around the world, people are trying to improve them—some of whom are based in Norway.</description>
                    <link>https://techxplore.com/news/2026-04-quantum-memory-problem.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Sat, 04 Apr 2026 10:00:01 EDT</pubDate>
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                    <title>New AI testing method flags fairness risks in autonomous systems</title>
                    <description>Artificial intelligence is increasingly being used to help optimize decision-making in high-stakes settings. For instance, an autonomous system can identify a power distribution strategy that minimizes costs while keeping voltages stable.</description>
                    <link>https://techxplore.com/news/2026-04-ai-method-flags-fairness-autonomous.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Thu, 02 Apr 2026 12:20:04 EDT</pubDate>
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                    <title>Fair decisions, clear reasons: Creating fuzzy AI with fairness built in from the start</title>
                    <description>Although AI is not intentionally biased, it can inherit biases from the data fed into it, learning and repeating them until the system becomes inherently unfair. This is complicated by the problem of identifying where the AI system introduced the bias, as most AI systems display their final decision without showing the steps that made it. Unfair patterns may go unnoticed simply because they are hard to identify.</description>
                    <link>https://techxplore.com/news/2026-04-fair-decisions-fuzzy-ai-fairness.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Thu, 02 Apr 2026 11:40:03 EDT</pubDate>
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                    <title>AI maps science papers to predict research trends two to three years ahead</title>
                    <description>The number of scientific papers is growing so rapidly that scientists are no longer able to keep track of all of them, even in their own research area. Researchers from the Karlsruhe Institute of Technology (KIT), in collaboration with scientific partners, have shown how new research ideas can still be obtained from this wealth of information. Using artificial intelligence (AI), they systematically analyzed materials science publications to identify potential new avenues of research. Their results have been published in Nature Machine Intelligence.</description>
                    <link>https://techxplore.com/news/2026-04-ai-science-papers-trends-years.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Wed, 01 Apr 2026 15:20:05 EDT</pubDate>
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                    <title>Smartwatch-like device could help detect plastic particles in the human body</title>
                    <description>Nano- and microplastics are increasingly being detected in the human body. However, their detection remains challenging, often relying on invasive techniques and specialized equipment. Researchers at the Institute of Computer Science at the University of Tartu are developing a device that can measure plastic in the human body. Their research is published in the journal Proceedings of the 27th International Workshop on Mobile Computing Systems and Applications.</description>
                    <link>https://techxplore.com/news/2026-03-smartwatch-device-plastic-particles-human.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Mon, 30 Mar 2026 16:40:04 EDT</pubDate>
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                    <title>Can AI understand literature? Researchers put it to the test</title>
                    <description>Even with all the recent advances in the ability of large language models (like ChatGPT) to help us think, research, summarize, and learn complex and technical texts, how do they fare in understanding storytelling and literature? These questions around interpretive nuance remain.</description>
                    <link>https://techxplore.com/news/2026-03-ai-literature.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Fri, 27 Mar 2026 09:00:01 EDT</pubDate>
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                    <title>Highly performing AI agents can still fail to spot deception, study finds</title>
                    <description>Large language models (LLMs), artificial intelligence systems that can process and generate texts in different languages, are now used daily by many people worldwide. As these models can rapidly source information and create convincing content for specific purposes, they are now also used in some professional settings or for gathering legal, medical, or financial information.</description>
                    <link>https://techxplore.com/news/2026-03-highly-ai-agents-deception.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Sat, 21 Mar 2026 11:00:05 EDT</pubDate>
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                    <title>A better method for identifying overconfident large language models</title>
                    <description>Large language models (LLMs) can generate credible but inaccurate responses, so researchers have developed uncertainty quantification methods to check the reliability of predictions. One popular method involves submitting the same prompt multiple times to see if the model generates the same answer. But this method measures self-confidence, and even the most impressive LLM might be confidently wrong. Overconfidence can mislead users about the accuracy of a prediction, which might result in devastating consequences in high-stakes settings like health care or finance.</description>
                    <link>https://techxplore.com/news/2026-03-method-overconfident-large-language.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Thu, 19 Mar 2026 09:00:03 EDT</pubDate>
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                    <title>Sheepdogs reveal a better way to guide robot swarms</title>
                    <description>Sheepdogs, bred to control large groups of sheep in open fields, have demonstrated their skills in competitions dating back to the 1870s. In these contests, a handler directs a trained dog with whistle signals to guide a small group of sheep across a field and sometimes split the flock cleanly into two groups. But sheep do not always cooperate.</description>
                    <link>https://techxplore.com/news/2026-03-sheepdogs-reveal-robot-swarms.html</link>
                    <category>Robotics</category>                    <pubDate>Wed, 18 Mar 2026 08:40:01 EDT</pubDate>
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                    <title>What flocking birds can teach AI about reducing noise</title>
                    <description>Among the primary concerns surrounding artificial intelligence is its tendency to yield erroneous information when summarizing long documents. These &quot;hallucinations&quot; are problematic not only because they convey falsehoods, but also because they reduce efficiency—sorting through content to search for mistakes of AI outputs is time-consuming.</description>
                    <link>https://techxplore.com/news/2026-03-flocking-birds-ai-noise.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Tue, 17 Mar 2026 01:00:01 EDT</pubDate>
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                    <title>AI gets a D: ChatGPT struggles with scientific true-or-false, study shows</title>
                    <description>Again and again, Washington State University professor Mesut Cicek and his colleagues fed hypotheses from scientific papers into ChatGPT and asked it to determine whether the statements had been upheld by research—whether they were true or false. They did this with more than 700 hypotheses, repeating each query 10 times.</description>
                    <link>https://techxplore.com/news/2026-03-ai-d-chatgpt-struggles-scientific.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Mon, 16 Mar 2026 10:20:03 EDT</pubDate>
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                    <title>Shortest paths research narrows a 25-year gap in graph algorithms</title>
                    <description>Most of you have used a navigation app like Google Maps for your travels at some point. These apps rely on algorithms that compute shortest paths through vast networks. Now imagine scaling that task to calculate distances between every pair of points in a massive system, for example, a transportation grid, a communication backbone, or even a biological network such as protein or neural interaction networks.</description>
                    <link>https://techxplore.com/news/2026-03-shortest-paths-narrows-year-gap.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Thu, 12 Mar 2026 15:20:04 EDT</pubDate>
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                    <title>Human brain and AI speech recognition decode speech in similar step-by-step stages, study finds</title>
                    <description>Over the past decades, computer scientists have developed numerous artificial intelligence (AI) systems that can process human speech in different languages. The extent to which these models replicate the brain processes via which humans understand spoken language, however, has not yet been clearly determined.</description>
                    <link>https://techxplore.com/news/2026-03-human-brain-ai-speech-recognition.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Thu, 12 Mar 2026 08:40:01 EDT</pubDate>
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                    <title>AI is homogenizing human expression and thought, computer scientists and psychologists say</title>
                    <description>AI chatbots are standardizing how people speak, write, and think. If this homogenization continues unchecked, it risks reducing humanity&#039;s collective wisdom and ability to adapt, computer scientists and psychologists argue in an opinion paper published in Trends in Cognitive Sciences.</description>
                    <link>https://techxplore.com/news/2026-03-ai-homogenizing-human-thought-scientists.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Wed, 11 Mar 2026 11:00:02 EDT</pubDate>
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                    <title>Can AI read papers like a scientist? A new benchmark shows where LLMs fail</title>
                    <description>To stay up to date and work forward in their fields, scientists must have at their fingertips and in their minds thousands of published studies. Large language models (LLMs) show promise as a tool for exploring the vast scientific literature, but are they trustworthy when it comes to providing full and scientifically accurate answers to complex questions in specialized fields?</description>
                    <link>https://techxplore.com/news/2026-03-ai-papers-scientist-benchmark-llms.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Tue, 10 Mar 2026 16:40:07 EDT</pubDate>
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                    <title>The AI that taught itself: How AI can learn what it never knew</title>
                    <description>For years, the guiding assumption of artificial intelligence has been simple: an AI is only as good as the data it has seen. Feed it more, train it longer, and it performs better. Feed it less, and it stumbles. A new study from the USC Viterbi School of Engineering was accepted at the IEEE SoutheastCon 2026, taking place March 12–15. It suggests something far more surprising: with the right method in place, an AI model can dramatically improve its performance in territory it was barely trained on, pushing well past what its training data alone would ever allow.</description>
                    <link>https://techxplore.com/news/2026-03-ai-taught-knew.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Tue, 10 Mar 2026 15:40:07 EDT</pubDate>
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