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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>AI digital twins struggle to predict human behavior, creating &#039;funhouse mirror&#039; distortions</title>
                    <description>While many fear artificial intelligence will replace humans, using AI to take over some human roles has benefits. Companies can use the technology to conduct surveys and polls, while behavioral scientists can run experiments on digital twins to gather faster insights without risking harm or distress to real participants.</description>
                    <link>https://techxplore.com/news/2026-09-ai-digital-twins-struggle-human.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Fri, 04 Sep 2026 13:20:08 EDT</pubDate>
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                    <title>&#039;Safe query space&#039; lets AI fix SQL errors without starting over</title>
                    <description>&quot;Find the best-selling product from last year.&quot; When an AI system attempts to answer a question like this by querying a company database, even a single reference to a nonexistent item can cause the query to fail. Until now, correcting such an error often required regenerating the entire SQL query from scratch.</description>
                    <link>https://techxplore.com/news/2026-09-safe-query-space-ai-sql.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Fri, 04 Sep 2026 11:40:06 EDT</pubDate>
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                    <title>New probabilistic method improves how robots localize and map familiar objects</title>
                    <description>Reliable navigation, place recognition and object interaction require autonomous robots to maintain precise environmental maps. Semantic simultaneous localization and mapping (SLAM) adds meaning to a robot&#039;s map by representing landmarks as recognizable objects rather than only geometric points.</description>
                    <link>https://techxplore.com/news/2026-09-probabilistic-method-robots-localize-familiar.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Thu, 03 Sep 2026 11:40:06 EDT</pubDate>
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                    <title>Brain activity patterns could help sharpen LLM deductive reasoning</title>
                    <description>Large language models (LLMs), the artificial intelligence systems underpinning the functioning of ChatGPT, Gemini and other similar conversational agents, are now widely used worldwide. In addition to processing, interpreting and generating texts, some of these models can solve basic logical problems and answer some user questions with striking accuracy.</description>
                    <link>https://techxplore.com/news/2026-09-brain-patterns-sharpen-llm-deductive.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Thu, 03 Sep 2026 07:20:09 EDT</pubDate>
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                    <title>Researchers develop cost-efficient method for detecting hallucinations in large language models</title>
                    <description>Researchers from Skoltech and Sberbank&#039;s Center for Practical Artificial Intelligence have proposed a new method, TOHA, for detecting hallucinations in large language models operating in retrieval-augmented generation (RAG) systems. The approach analyzes the topological structure of a model&#039;s attention maps and makes it possible to identify responses that are not supported by the provided context. The method does not require training additional models and uses only a small amount of annotated data for configuration.</description>
                    <link>https://techxplore.com/news/2026-09-efficient-method-hallucinations-large-language.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Wed, 02 Sep 2026 16:40:04 EDT</pubDate>
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                    <title>Why adding AI agents to a system sometimes reduces its performance</title>
                    <description>Computer scientists worldwide have been developing a wide range of artificial intelligence (AI) systems. Some of these systems rely on an individual AI agent, while others consist of multiple interacting agents that exchange information, cooperate and revise each other&#039;s responses or predictions.</description>
                    <link>https://techxplore.com/news/2026-08-adding-ai-agents.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Wed, 02 Sep 2026 10:20:06 EDT</pubDate>
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                    <title>Adding a &#039;doubt detector&#039; helps AI optimize experiments with 40% fewer tests</title>
                    <description>Modern computational tools let scientists explore huge numbers of possible molecules, materials and chemical reactions. But testing every combination in the lab is slow and costly. So how do researchers choose the best &quot;recipe&quot; for their experiment?</description>
                    <link>https://techxplore.com/news/2026-09-adding-detector-ai-optimize.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Wed, 02 Sep 2026 09:40:03 EDT</pubDate>
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                    <title>Digital brain twins hinge on what living brains reveal, not computing power alone</title>
                    <description>Researchers from the University of Warwick report that how faithfully we can build a &quot;digital twin&quot; of a human brain depends not only on computing power but fundamentally on how much of the living brain we can measure, validate and update over time.</description>
                    <link>https://techxplore.com/news/2026-09-digital-brain-twins-hinge-brains.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Tue, 01 Sep 2026 12:00:10 EDT</pubDate>
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                    <title>Multiple cameras can better track a person&#039;s identity using geometry and appearance</title>
                    <description>By combining two complementary clues—camera geometry and visual appearance—researchers at the Institute of Science Tokyo, Japan, developed a new approach for preserving identities across multiple cameras. The method uses epipolar geometry to identify spatially consistent candidate matches and appearance similarity to distinguish among possible identities. The approach can be integrated with existing single-camera tracking systems without requiring environment-specific retraining.</description>
                    <link>https://techxplore.com/news/2026-08-multiple-cameras-track-person-identity.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Fri, 28 Aug 2026 12:00:05 EDT</pubDate>
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                    <title>AI doesn&#039;t just play better chess—it manages complexity differently</title>
                    <description>For decades, chess has served as a laboratory for studying intelligence and decision-making. It is well established that today&#039;s chess engines can outperform even the strongest grandmasters. But far less is understood about how their play actually differs.</description>
                    <link>https://techxplore.com/news/2026-08-ai-doesnt-play-chess-complexity.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Thu, 27 Aug 2026 13:20:01 EDT</pubDate>
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                    <title>Divide-and-conquer approach advances system reliability through scalable model checking</title>
                    <description>Model checking helps automatically verify whether hardware and software systems satisfy specified requirements. It has become an important formal verification technique, but two major challenges remain: state-space explosion, which limits the size of systems that can be checked, and long verification times.</description>
                    <link>https://techxplore.com/news/2026-08-conquer-approach-advances-reliability-scalable.html</link>
                    <category>Software</category>                    <pubDate>Wed, 26 Aug 2026 14:40:09 EDT</pubDate>
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                    <title>From X-ray speckles to solar magnetic fields, AI shrinks data while keeping crucial details</title>
                    <description>Next-generation science experiments will collect more data than ever—so much so that they&#039;ll surpass the capabilities of current data storage and analysis methods. To help, researchers at the Department of Energy&#039;s SLAC National Accelerator Laboratory developed an AI method to compress large amounts of raw data without losing subtle details critical to scientific discovery. They published the work in Nature Machine Intelligence.</description>
                    <link>https://techxplore.com/news/2026-08-ray-speckles-solar-magnetic-fields.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Mon, 24 Aug 2026 15:40:09 EDT</pubDate>
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                    <title>Who does AI consider an expert? New benchmark shows bias across 22 LLMs</title>
                    <description>AI chatbots powered by large language models (LLMs) are widely used as recommender systems. While accelerating access to information, AI can also give factually incorrect responses or propagate societal biases.</description>
                    <link>https://techxplore.com/news/2026-08-ai-expert-benchmark-bias-llms.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Mon, 24 Aug 2026 15:00:12 EDT</pubDate>
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                    <title>Attackers bypass Windows security without physical access</title>
                    <description>Experts have shown that the most powerful security defenses in Windows 11 can be dismantled by an attacker who never touches the target computer.</description>
                    <link>https://techxplore.com/news/2026-08-bypass-windows-physical-access.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Mon, 24 Aug 2026 12:40:04 EDT</pubDate>
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                    <title>Fruit fly-inspired algorithm classifies odors from only a few samples</title>
                    <description>In the animal kingdom, energy conservation is essential for survival. That&#039;s why our brains have evolved to be extremely energy- and resource-efficient at storing and processing information. Since the 1980s, computational scientists have tried to mimic brain structure and function in the hopes of achieving such efficient, fast processing of complex data.</description>
                    <link>https://techxplore.com/news/2026-08-fruit-fly-algorithm-odors-samples.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Mon, 24 Aug 2026 04:00:01 EDT</pubDate>
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                    <title>Genetic algorithms test cybersecurity defenses against adaptive malware</title>
                    <description>The COVID-19 pandemic changed the way many people approached their work across the globe. For Carnegie Mellon University Africa&#039;s Jema Ndibwile, it changed the way he viewed a completely different type of virus: a computer virus.</description>
                    <link>https://techxplore.com/news/2026-08-genetic-algorithms-cybersecurity-defenses-malware.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Fri, 21 Aug 2026 12:00:07 EDT</pubDate>
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                    <title>Neural network approach makes AI uncertainty checks far more efficient</title>
                    <description>McGill University researchers have developed a more energy-efficient method of building AI systems that are better at measuring—and indicating—their own uncertainty. This will help users determine when human oversight is needed, when additional data should be collected and when a model is being asked to work beyond the conditions it was trained for, the researchers said.</description>
                    <link>https://techxplore.com/news/2026-08-neural-network-approach-ai-uncertainty.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Thu, 20 Aug 2026 15:20:07 EDT</pubDate>
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                    <title>A computer vision approach for grading collectible coins</title>
                    <description>Researchers from Skoltech (part of the VEB.RF group) and Central University have developed an automated coin-grading approach that minimizes the subjectivity of manual assessments and overcomes the limitations of computer vision algorithms typically used for this purpose. The new approach provides more accurate and detailed grading across a wide variety of coin types. The approach was presented in the Journal on Computing and Cultural Heritage and further refined in two subsequent studies published in Expert Systems with Applications and IEEE Transactions on Instrumentation and Measurement.</description>
                    <link>https://techxplore.com/news/2026-08-vision-approach-grading-coins.html</link>
                    <category>Engineering</category>                    <pubDate>Tue, 18 Aug 2026 16:40:08 EDT</pubDate>
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                    <title>Bee-inspired algorithm helps robot swarms reach consensus</title>
                    <description>From searching disaster zones and responding to chemical spills to monitoring fragile ecosystems, future robot swarms may have to act in places where direct human control is difficult or dangerous. To operate autonomously, the robots must be able to decide together which problem to address and where to go next. But collective decision-making creates its own vulnerability: Robots improve their decisions by sharing information, yet faulty machines, inaccurate observations or manipulated messages can mislead the entire swarm.</description>
                    <link>https://techxplore.com/news/2026-08-bee-algorithm-robot-swarms-consensus.html</link>
                    <category>Robotics</category>                    <pubDate>Tue, 18 Aug 2026 12:00:05 EDT</pubDate>
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                    <title>From spheres to 12-fanged grains, scientists tame unruly sand in graphics and simulations</title>
                    <description>On a sunny summer&#039;s day, children build sandcastles on the beach. But behind every castle and crumbling dune lies a surprisingly difficult scientific problem. In fact, the physics of sand is not yet fully understood—which also means that computer graphics lacks effective ways to simulate it.</description>
                    <link>https://techxplore.com/news/2026-08-spheres-fanged-grains-scientists-unruly.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Tue, 18 Aug 2026 09:20:08 EDT</pubDate>
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                    <title>AI agents struggle to perform original scientific research</title>
                    <description>Among the many predictions about the future of artificial intelligence is that models will one day be able to conduct scientific research on their own, leaving humans out of the equation. Already, they can write code, run experiments and search scientific literature, but carrying out open-ended research would require a significant leap in ability.</description>
                    <link>https://techxplore.com/news/2026-08-ai-agents-struggle-scientific.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Fri, 14 Aug 2026 13:00:03 EDT</pubDate>
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                    <title>Extending AI architectures to address continuous scientific problems</title>
                    <description>Artificial intelligence is proving to be transformative in its ability to work with language and images. Now, with a growing push to apply AI to scientific discovery, Caltech&#039;s Anima Anandkumar says there is a crucial ingredient missing from most AI models: the ability to understand the physical world. Take, for example, weather models, says Anandkumar, Caltech&#039;s Bren Professor of Computing and Mathematical Sciences. If you want an AI model to predict weather, it must understand chaotic physical systems, like how the atmosphere changes around the planet and over time.</description>
                    <link>https://techxplore.com/news/2026-08-ai-architectures-scientific-problems.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Wed, 12 Aug 2026 16:00:01 EDT</pubDate>
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                    <title>Today&#039;s downloads predict tomorrow&#039;s scientific impact—up to five years out</title>
                    <description>The trail of likes, shares and downloads we leave across the internet could help predict successful innovations years in advance, Cornell researchers showed by curating two datasets that allowed them to compare early engagement with future impact.</description>
                    <link>https://techxplore.com/news/2026-08-today-downloads-tomorrow-scientific-impact.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Tue, 11 Aug 2026 12:00:02 EDT</pubDate>
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                    <title>With a feel for physics, AI models simulate a wider range of real-world scenarios</title>
                    <description>Artificial intelligence models are jacks of many trades, including writing, generating images, and creating 3D models. But they aren&#039;t as helpful when it comes to testing robots or designs for vehicles in diverse environments, since they don&#039;t understand physics as well as they do pixels or text.</description>
                    <link>https://techxplore.com/news/2026-08-physics-ai-simulate-wider-range.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Tue, 11 Aug 2026 09:00:01 EDT</pubDate>
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                    <title>New coding technique skips needless calculations, speeding some GPU tasks nearly fourfold</title>
                    <description>The multiplication of matrices and higher-dimensional arrays called tensors lies at the heart of modern computing. Matrix or tensor multiplication is, in fact, the most common operation carried out in artificial intelligence applications, as well as in scientific simulations and computer graphics. High-performance computers, especially those equipped with graphics processing units (GPUs), are designed to work with so-called dense matrices or tensors—those that have relatively few zero elements.</description>
                    <link>https://techxplore.com/news/2026-08-coding-technique-needless-gpu-tasks.html</link>
                    <category>Hardware</category>                    <pubDate>Mon, 10 Aug 2026 16:40:05 EDT</pubDate>
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                    <title>Why do we labor when reading some words but not others? AI offers a partial answer</title>
                    <description>Why do we breeze through some sentences in a book or article but have to reread others to comprehend their meaning? A team of linguists and data scientists has found a partial answer in AI—some of this processing parallels that of neural-network-based large language models (LLMs). However, other aspects of why we read this way cannot be explained by these technologies, revealing where human and AI language processing diverge and maintaining the mystery of some stages of the reading process.</description>
                    <link>https://techxplore.com/news/2026-08-labor-words-ai-partial.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Mon, 10 Aug 2026 13:40:10 EDT</pubDate>
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                    <title>A new attack slips past the latest defenses built into your computer&#039;s processor</title>
                    <description>Chipmakers and operating system developers have spent years building defenses. A new study from MIT&#039;s Computer Science and Artificial Intelligence Laboratory (CSAIL) shows that a key assumption behind many of them doesn&#039;t hold.</description>
                    <link>https://techxplore.com/news/2026-08-latest-defenses-built-processor.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Sun, 09 Aug 2026 07:40:02 EDT</pubDate>
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                    <title>AI framework rooted in cognitive science could complete tasks more efficiently</title>
                    <description>In recent years, computer scientists have developed a wide range of artificial intelligence (AI) models that can rapidly recognize patterns in data, generate content and solve other computational problems. Many of these AI systems are based on deep neural networks (DNNs), brain-inspired computational models that can make predictions based on specific data, or LLMs, models that can process human language, answer queries and generate text.</description>
                    <link>https://techxplore.com/news/2026-07-ai-framework-rooted-cognitive-science.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Sat, 08 Aug 2026 09:40:02 EDT</pubDate>
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                    <title>Optimizing software: Computing professor&#039;s &#039;egg&#039; downsizes programs to make them more nimble</title>
                    <description>Many software tools, including compilers, optimizers and synthesizers, have a common task at their core. They must transform long, complicated programs into simplified equivalents. These scaled-down programs run faster and on a wider range of hardware but must deliver the same results as their original versions.</description>
                    <link>https://techxplore.com/news/2026-08-optimizing-software-professor-egg-downsizes.html</link>
                    <category>Software</category>                    <pubDate>Thu, 06 Aug 2026 11:40:24 EDT</pubDate>
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                    <title>Hidden goals can undermine AI teamwork, study finds</title>
                    <description>Large language models (LLMs), the computational models that underpin conversational agents such as Gemini and ChatGPT, are now widely used by people worldwide to rapidly find information, summarize documents and generate texts for specific purposes. Some computer scientists are now combining two or more of these models to create multi-agent systems, which prompt multiple artificial intelligence (AI) agents to interact, cooperate and/or compete with the goal of completing specific tasks.</description>
                    <link>https://techxplore.com/news/2026-08-hidden-goals-undermine-ai-teamwork.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Thu, 06 Aug 2026 09:10:01 EDT</pubDate>
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