<?xml version="1.0" encoding="utf-8"?>
<rss version="2.0" xmlns:media="http://search.yahoo.com/mrss/">
    <channel>
                    <title>Computer Science News | Technology News | Computer Science Technology | Computer Sciences </title>
            <link>https://techxplore.com/rss-feed/computer-sciences-news/</link>
            <language>en-us</language>
            <description>The latest news on computer science, computer science technology, computer science technologies and technology science. </description>

                            <item>
                    <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>
                    <guid isPermaLink="false">news707571738</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2026/could-human-brain-acti.jpg" width="90" height="90" />
                                    </item>
                            <item>
                    <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>
                    <guid isPermaLink="false">news707125854</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2026/claude.jpg" width="90" height="90" />
                                    </item>
                            <item>
                    <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>
                    <guid isPermaLink="false">news707560201</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2026/an-ai-capable-of-doubt.jpg" width="90" height="90" />
                                    </item>
                            <item>
                    <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>
                    <guid isPermaLink="false">news707481721</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2026/how-close-are-we-to-bu.jpg" width="90" height="90" />
                                    </item>
                            <item>
                    <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>
                    <guid isPermaLink="false">news707055301</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2026/ai-chess.jpg" width="90" height="90" />
                                    </item>
                            <item>
                    <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>
                    <guid isPermaLink="false">news706803181</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2026/slac-researchers-devel.jpg" width="90" height="90" />
                                    </item>
                            <item>
                    <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>
                    <guid isPermaLink="false">news706801564</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2026/complexity-science-hub.jpg" width="90" height="90" />
                                    </item>
                            <item>
                    <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>
                    <guid isPermaLink="false">news706793101</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2026/microsoft-windows.jpg" width="90" height="90" />
                                    </item>
                            <item>
                    <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>
                    <guid isPermaLink="false">news706535448</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2026/how-to-decipher-smells.jpg" width="90" height="90" />
                                    </item>
                            <item>
                    <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>
                    <guid isPermaLink="false">news706531802</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2020/computervirus.jpg" width="90" height="90" />
                                    </item>
                            <item>
                    <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>
                    <guid isPermaLink="false">news706272361</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2026/bee-inspired-algorithm.jpg" width="90" height="90" />
                                    </item>
                            <item>
                    <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>
                    <guid isPermaLink="false">news706263001</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2026/ista-scientists-tame-u.jpg" width="90" height="90" />
                                    </item>
                            <item>
                    <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>
                    <guid isPermaLink="false">news705929078</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2026/scientific-research.jpg" width="90" height="90" />
                                    </item>
                            <item>
                    <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>
                    <guid isPermaLink="false">news705768961</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2026/extending-ai-architect-1.jpg" width="90" height="90" />
                                    </item>
                            <item>
                    <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>
                    <guid isPermaLink="false">news705668341</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2026/todays-clicks-can-reve-1.jpg" width="90" height="90" />
                                    </item>
                            <item>
                    <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>
                    <guid isPermaLink="false">news705656882</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2026/with-a-feel-for-physic.jpg" width="90" height="90" />
                                    </item>
                            <item>
                    <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>
                    <guid isPermaLink="false">news705585670</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2026/why-do-we-labor-when-r-1.jpg" width="90" height="90" />
                                    </item>
                            <item>
                    <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>
                    <guid isPermaLink="false">news704472357</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2026/brain-inspired-plannin.jpg" width="90" height="90" />
                                    </item>
                            <item>
                    <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>
                    <guid isPermaLink="false">news705234721</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2026/optimizing-software-co-1.jpg" width="90" height="90" />
                                    </item>
                            <item>
                    <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>
                    <guid isPermaLink="false">news705224292</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2026/hidden-goals-can-under.jpg" width="90" height="90" />
                                    </item>
                            <item>
                    <title>Popular vs. reliable sources—a blind spot in how LLMs assess information</title>
                    <description>Large language models (LLMs), the artificial intelligence (AI) systems underpinning ChatGPT and similar conversational platforms, are now used by many people worldwide to find and summarize information and generate different types of text. Despite their widespread use, these models still have notable limitations.</description>
                    <link>https://techxplore.com/news/2026-07-popular-reliable-sources-llms.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Thu, 30 Jul 2026 07:00:04 EDT</pubDate>
                    <guid isPermaLink="false">news704550288</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2022/ai.jpg" width="90" height="90" />
                                    </item>
                            <item>
                    <title>Strike a pose: Creating more realistic multi-person images</title>
                    <description>Generating an image of a person on a computer using text prompts is easy. Generating one with two people is similarly simple. But creating an image of multiple people actually doing something, and faithfully reproducing not just the people but the thing they&#039;re doing? Not so easy.</description>
                    <link>https://techxplore.com/news/2026-07-pose-realistic-multi-person-images.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Wed, 29 Jul 2026 12:20:02 EDT</pubDate>
                    <guid isPermaLink="false">news704546221</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2026/strike-a-pose-creating-1.jpg" width="90" height="90" />
                                    </item>
                            <item>
                    <title>Game-engine forests train drone AI to count trees with far less labeling</title>
                    <description>A drone swoops low over an alpine forest. It climbs suddenly to follow the contours of the sharply rising landscape. Pulses from its lidar—a laser mapping instrument—rapidly scan the trees below.</description>
                    <link>https://techxplore.com/news/2026-07-game-forests-drone-ai-trees.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Wed, 29 Jul 2026 10:20:02 EDT</pubDate>
                    <guid isPermaLink="false">news704539022</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2026/cambridge-researchers.jpg" width="90" height="90" />
                                    </item>
                            <item>
                    <title>Brain-inspired AI is capable of flexible planning and problem-solving while using far less energy</title>
                    <description>The capabilities of large AI systems are constantly improving, but they consume a great deal of energy during training and operation. The human brain, by contrast, is extremely energy-efficient: It requires only around 20 watts.</description>
                    <link>https://techxplore.com/news/2026-07-brain-ai-capable-flexible-problem.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Tue, 28 Jul 2026 14:40:07 EDT</pubDate>
                    <guid isPermaLink="false">news704467261</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2026/brain-inspired-ai-deve.jpg" width="90" height="90" />
                                    </item>
                            <item>
                    <title>AI gains a tool to identify Kinyarwanda propaganda, with promise for 600 Bantu languages</title>
                    <description>A new study led by Fabrice Niyigaba &#039;27 reports the first digital tool for identifying online propaganda in Kinyarwanda, the national language of Rwanda&#039;s 15 million people—and possibly the first for any of the Bantu languages spoken by 350 million Africans.</description>
                    <link>https://techxplore.com/news/2026-07-ai-gains-tool-kinyarwanda-propaganda.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Mon, 27 Jul 2026 16:40:10 EDT</pubDate>
                    <guid isPermaLink="false">news704388601</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2026/working-to-combat-prop.jpg" width="90" height="90" />
                                    </item>
                            <item>
                    <title>New tool identifies the sources of fake videos</title>
                    <description>Artificial intelligence can generate videos so realistic that distinguishing them from authentic footage is becoming increasingly difficult. But a computer science team led by researchers at UC Riverside has developed a tool that moves beyond simply identifying whether a video is fake. It also determines which AI system created it.</description>
                    <link>https://techxplore.com/news/2026-07-tool-sources-fake-videos.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Mon, 27 Jul 2026 08:20:03 EDT</pubDate>
                    <guid isPermaLink="false">news704358542</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2026/generative-ai-1.jpg" width="90" height="90" />
                                    </item>
                            <item>
                    <title>Quantum randomness helps neural network recognize troublesome handwritten digits</title>
                    <description>Quantum computing and AI are among the most rapidly developing modern technologies. AI, in the form of machine learning, has been deployed for decades to recommend movies and TV shows and make it easier to search for images. Over the past several years, large language models have permeated even more facets of daily life, from writing emails to producing images, videos and songs in response to requests expressed in a few written lines.</description>
                    <link>https://techxplore.com/news/2026-07-quantum-randomness-neural-network-troublesome.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Thu, 23 Jul 2026 14:20:07 EDT</pubDate>
                    <guid isPermaLink="false">news704029997</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2026/researchers-explore-ho-1.jpg" width="90" height="90" />
                                    </item>
                            <item>
                    <title>A computer in a liquid: Hundreds of oscillating particles compute complex patterns</title>
                    <description>Researchers at the Universities of Konstanz and Stuttgart have demonstrated a new approach to computation: a computer made from a few hundred microscopic particles oscillating in a liquid. Instead of processing information through carefully fabricated electronic circuits, their system performs computations by harnessing the complex collective dynamics of interacting particles.</description>
                    <link>https://techxplore.com/news/2026-07-liquid-hundreds-oscillating-particles-complex.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Thu, 23 Jul 2026 13:40:04 EDT</pubDate>
                    <guid isPermaLink="false">news704030423</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2026/a-computer-made-of-par.jpg" width="90" height="90" />
                                    </item>
                            <item>
                    <title>Graphics advances preserve stretched textures and cut shape-computation costs tenfold</title>
                    <description>Researchers from the Institute of Science and Technology Austria (ISTA) presented two papers at SIGGRAPH in Los Angeles. One paper introduces new methods for texturing highly deformable surfaces, and the other proposes a faster, more precise way to compute geometric properties of shapes. Both show how to boost graphics accuracy while cutting computational cost, with potential applications across video gaming, visual effects and simulation. The studies have been published in ACM Transactions on Graphics.</description>
                    <link>https://techxplore.com/news/2026-07-graphics-advances-textures-tenfold.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Wed, 22 Jul 2026 11:20:01 EDT</pubDate>
                    <guid isPermaLink="false">news703937758</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2026/new-computer-graphics-3.jpg" width="90" height="90" />
                                    </item>
                            <item>
                    <title>AI-powered election forecasts reveal hidden preferences inside language models</title>
                    <description>An international research team involving the University of Bayreuth has, for the first time, analyzed the &quot;inner workings&quot; of AI language models when predicting political voting decisions. To do so, the researchers examined six national elections and AI-based election forecasts and developed a new method for making more precise predictions. They presented their findings at the International Conference on Machine Learning (ICML 2026) in Seoul, South Korea.</description>
                    <link>https://techxplore.com/news/2026-07-ai-powered-election-reveal-hidden.html</link>
                    <category>Computer Sciences</category>                    <pubDate>Thu, 16 Jul 2026 07:40:01 EDT</pubDate>
                    <guid isPermaLink="false">news703405416</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2026/vote.jpg" width="90" height="90" />
                                    </item>
                        </channel>
</rss>