<?xml version="1.0" encoding="utf-8"?>
<rss version="2.0" xmlns:media="http://search.yahoo.com/mrss/">
    <channel>
                    <title>Phys.org - latest science and technology news stories</title>
            <link>https://phys.org/</link>
            <language>en-us</language>
            <description>Phys.org internet news portal provides the latest news on science including: Physics, Nanotechnology, Life Sciences, Space Science, Earth Science, Environment, Health and Medicine.</description>

                            <item>
                    <title>Engineers teach spacecraft to &#039;dream&#039; their way to the space station</title>
                    <description>Docking with the ISS may seem simple. However, actually doing so shows how difficult orbital mechanics can be. It&#039;s like traveling down a highway at 28,000 km/hr (17,000 mph) and parallel parking in an open garage on a multibillion-dollar laboratory traveling at the same speed. If you try to accelerate forward, you actually drift up, and there&#039;s no air friction to naturally slow you down. Oh, and if you hit the lab, everyone aboard both your craft and the station dies, and the resulting debris field could wipe out dozens of satellites and even harm people on the ground. No pressure, obviously.</description>
                    <link>https://phys.org/news/2026-09-spacecraft-space-station.html</link>
                    <category>Space Exploration</category>                    <pubDate>Sat, 26 Sep 2026 14:00:01 EDT</pubDate>
                    <guid isPermaLink="false">news709462341</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2026/stanford-engineers-tea.jpg" width="90" height="90" />
                                    </item>
                            <item>
                    <title>Shared blueprint in aphid proteins helps AI predict their structures</title>
                    <description>Tiny insects called aphids inject hundreds of mysterious proteins into plants, hijacking the plants&#039; own genomes to build galls: structures made of plant tissue but constructed to the insects&#039; specifications to house and feed their offspring.</description>
                    <link>https://phys.org/news/2026-09-blueprint-aphid-proteins-ai.html</link>
                    <category>Plants &amp; Animals</category>                    <pubDate>Thu, 24 Sep 2026 16:10:01 EDT</pubDate>
                    <guid isPermaLink="false">news709481221</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2026/stowers-scientists-unc.jpg" width="90" height="90" />
                                    </item>
                            <item>
                    <title>Building a self-powered, smart warning system to detect local floods</title>
                    <description>When sudden rainstorms roll across Texas, flooding can erupt in a matter of minutes. From coastal bends facing storm surges to low-water crossings in San Antonio, flood risks often spike block by block long before regional alerts sound. That means some people could have ankle-deep water in their yards by the time a flash flood warning sounds on their phones.</description>
                    <link>https://phys.org/news/2026-09-powered-smart-local.html</link>
                    <category>Environment</category>                    <pubDate>Wed, 23 Sep 2026 10:20:05 EDT</pubDate>
                    <guid isPermaLink="false">news709371242</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2025/-flood.jpg" width="90" height="90" />
                                    </item>
                            <item>
                    <title>Background hums and buzzes affect human behavior, researcher finds</title>
                    <description>Have you ever stopped and listened to the background sounds in a room you are in? The hum of the ventilation? The buzz of electricity? While most of the time we are barely aware of these sounds, Arthur Jinyue Guo, a researcher at the RITMO Centre for Interdisciplinary Research on Rhythm, Time and Motion, has revealed that they nevertheless affect our behavior.</description>
                    <link>https://phys.org/news/2026-09-background-affect-human-behavior.html</link>
                    <category>Other</category>                    <pubDate>Fri, 18 Sep 2026 13:00:01 EDT</pubDate>
                    <guid isPermaLink="false">news708953761</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2026/audio-video-capturing.jpg" width="90" height="90" />
                                    </item>
                            <item>
                    <title>New AI approaches to help understand complex biological data</title>
                    <description>Researchers at Cardiff University have presented two studies at the 2026 International Conference on Machine Learning (ICML 2026) that address fundamental challenges in modern AI: understanding the complex geometry and relationships within data and recognizing patterns that occur across very different scales.</description>
                    <link>https://phys.org/news/2026-09-ai-approaches-complex-biological.html</link>
                    <category>Molecular &amp; Computational biology</category>                    <pubDate>Tue, 01 Sep 2026 14:00:07 EDT</pubDate>
                    <guid isPermaLink="false">news707473279</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2026/binary-code.jpg" width="90" height="90" />
                                    </item>
                            <item>
                    <title>Researchers build &#039;digital twin&#039; to model Manhattan air quality</title>
                    <description>Cornell engineers have developed a &quot;digital twin&quot; framework that creates a real-time virtual representation of urban carbon dioxide conditions, providing a tool that could help city planners monitor emissions, identify hotspots and evaluate potential interventions before implementing them in the real world.</description>
                    <link>https://phys.org/news/2026-08-digital-twin-manhattan-air-quality.html</link>
                    <category>Environment</category>                    <pubDate>Thu, 20 Aug 2026 18:40:07 EDT</pubDate>
                    <guid isPermaLink="false">news706464302</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2026/manhattan.jpg" width="90" height="90" />
                                    </item>
                            <item>
                    <title>New AI model detects hidden signs of solar eruptions hours before they emerge</title>
                    <description>Long before dark sunspots appear on the sun&#039;s surface, a new active region—where powerful solar eruptions can originate—begins showing subtle signs of its formation. Now, researchers say a new artificial intelligence model can detect those early signals and forecast the emergence of solar active regions nearly nine hours in advance on average.</description>
                    <link>https://phys.org/news/2026-08-ai-hidden-solar-eruptions-hours.html</link>
                    <category>Planetary Sciences</category>                    <pubDate>Fri, 14 Aug 2026 09:00:01 EDT</pubDate>
                    <guid isPermaLink="false">news705840421</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2026/solar-eruptions.jpg" width="90" height="90" />
                                    </item>
                            <item>
                    <title>Hybrid bioprinter creates capillary networks narrower than 10 micrometers</title>
                    <description>More than 100,000 people are awaiting an organ transplant in the United States, with a new candidate added to the list every 10 minutes. Even if the transplant is carried out successfully, recipients must take immunosuppressive medications, elevating their risk of broader infections, and adhere to a strict lifestyle for the rest of their lives—all while facing the possibility that their body could reject the donated organ at any time.</description>
                    <link>https://phys.org/news/2026-08-hybrid-bioprinter-capillary-networks-narrower.html</link>
                    <category>Biotechnology</category>                    <pubDate>Wed, 12 Aug 2026 13:40:06 EDT</pubDate>
                    <guid isPermaLink="false">news705752101</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2026/researchers-develop-ne-18.jpg" width="90" height="90" />
                                    </item>
                            <item>
                    <title>Genetic neighborhoods distinguish harmful poultry bacteria from harmless strains</title>
                    <description>When it comes to identifying harmful bacteria, it helps to look at the company their genes keep. Researchers with the Arkansas Agricultural Experiment Station, the research arm of the University of Arkansas Division of Agriculture, used a machine-learning approach to study not just which genes a bacterium has, but also where those genes sit next to each other. That &quot;genetic neighborhood&quot; helped researchers distinguish disease-causing strains of Enterococcus cecorum, a poultry pathogen, from nonpathogenic strains.</description>
                    <link>https://phys.org/news/2026-08-genetic-neighborhoods-distinguish-poultry-bacteria.html</link>
                    <category>Cell &amp; Microbiology</category>                    <pubDate>Tue, 11 Aug 2026 19:40:02 EDT</pubDate>
                    <guid isPermaLink="false">news705683881</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2026/arkansas-researchers-l-2.jpg" width="90" height="90" />
                                    </item>
                            <item>
                    <title>Quantum in the palm of your hand: The evolution of superconducting qubits</title>
                    <description>Electrons zipping through transistors, powering the screens on our smartphones. Light zooming from distant stars to Earth, moving faster than anything else in the universe. Protons enabling MRI machines to analyze people&#039;s injuries.</description>
                    <link>https://phys.org/news/2026-07-quantum-palm-evolution-superconducting-qubits.html</link>
                    <category>Superconductivity</category>                    <pubDate>Wed, 29 Jul 2026 23:20:04 EDT</pubDate>
                    <guid isPermaLink="false">news704540077</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2026/quantum-in-the-palm-of.jpg" width="90" height="90" />
                                    </item>
                            <item>
                    <title>AI-designed SARS-CoV-2 variants escape prevalent antibodies</title>
                    <description>While headlines warn that AI could unleash future biological threats, the technology also offers our best defense: a way to anticipate viral evolution and stress-test treatments. Rather than waiting for SARS-CoV-2 to mutate and outrun our immune system, my colleagues and I at École Normale Supérieure and Institut Pasteur built EscapeMap. Published in Cell Systems, our framework generates highly mutated, functional viral proteins to evaluate therapeutics against future evolutionary trajectories long before those mutations surface in the real world.</description>
                    <link>https://phys.org/news/2026-07-ai-sars-cov-variants-prevalent.html</link>
                    <category>Biotechnology</category>                    <pubDate>Tue, 28 Jul 2026 12:00:02 EDT</pubDate>
                    <guid isPermaLink="false">news704454474</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2026/ai-designed-sars-cov-2.jpg" width="90" height="90" />
                                    </item>
                            <item>
                    <title>Seven possible quasar lenses emerge from AI scan of 800,000 DESI objects</title>
                    <description>Quasars, distant cores of galaxies powered by supermassive black holes, are among the most luminous objects in the universe. While not uncommon, their brightness can make it difficult to accurately measure the galaxies they reside in. This means scientists must use gravitational lensing to assist in analyzing these bright objects, a method that relies on studying how an object&#039;s strong gravity bends light around its host galaxy. Yet despite their own powerful gravity, quasars that can act as lenses are rare.</description>
                    <link>https://phys.org/news/2026-07-quasar-lenses-emerge-ai-scan.html</link>
                    <category>Astronomy</category>                    <pubDate>Mon, 27 Jul 2026 15:20:07 EDT</pubDate>
                    <guid isPermaLink="false">news704377501</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2026/astronomers-discover-s-3.jpg" width="90" height="90" />
                                    </item>
                            <item>
                    <title>Quantum neural networks get their first hardware test</title>
                    <description>Neural networks have transformed how machines find patterns in data, from recognizing faces in photos to predicting the shapes of proteins. So far, all of this progress has been made on ordinary classical computers, but with quantum computers now edging into practical use, there is a real possibility that neural networks could tap into distinctly quantum effects and operate in ways that classical machines never could. So far, however, neural networks have proven far more difficult to run on quantum hardware.</description>
                    <link>https://phys.org/news/2026-07-quantum-neural-networks-hardware.html</link>
                    <category>Quantum Physics</category>                    <pubDate>Mon, 27 Jul 2026 10:50:01 EDT</pubDate>
                    <guid isPermaLink="false">news704365485</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2026/quantum-neural-network.jpg" width="90" height="90" />
                                    </item>
                            <item>
                    <title>Machine learning narrows search for additional particles in the Higgs boson family</title>
                    <description>What if the Higgs boson found in 2012 is not alone but is the only sibling we have encountered so far? Scientists at CERN discovered the particle that year, and it was a major discovery because it explained how other particles acquire mass. For a long time, scientists thought this was the final piece of the puzzle.</description>
                    <link>https://phys.org/news/2026-07-machine-narrows-additional-particles-higgs.html</link>
                    <category>General Physics</category>                    <pubDate>Thu, 23 Jul 2026 16:50:01 EDT</pubDate>
                    <guid isPermaLink="false">news704040661</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2026/exploring-the-hidden-f-1.jpg" width="90" height="90" />
                                    </item>
                            <item>
                    <title>Chasing subseasonal forecasts with AI</title>
                    <description>Subseasonal forecasting, or the ability to predict weather trends two weeks to two months in advance, is a capability highly sought after in various economic sectors, including energy, water management and agriculture. Reliable forecasts on this scale have thus far been largely out of reach, but researchers at the U.S. National Science Foundation National Center for Atmospheric Research (NSF NCAR) are leveraging AI to see whether it can help them grasp this elusive capability.</description>
                    <link>https://phys.org/news/2026-07-subseasonal-ai.html</link>
                    <category>Environment</category>                    <pubDate>Thu, 23 Jul 2026 11:20:04 EDT</pubDate>
                    <guid isPermaLink="false">news704015342</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2026/chasing-subseasonal-fo.jpg" width="90" height="90" />
                                    </item>
                            <item>
                    <title>Open-source AI predicts key peptide traits before costly lab testing</title>
                    <description>Penn Engineers have developed PeptiVerse, an AI-powered platform that predicts key chemical and biological properties of peptides, strings of amino acids whose medical potential has been demonstrated by the success of GLP-1 drugs, widely used weight-loss treatments.</description>
                    <link>https://phys.org/news/2026-07-source-ai-key-peptide-traits.html</link>
                    <category>Biochemistry</category>                    <pubDate>Tue, 21 Jul 2026 17:30:01 EDT</pubDate>
                    <guid isPermaLink="false">news703867621</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2026/ai-platform-could-spee.jpg" width="90" height="90" />
                                    </item>
                            <item>
                    <title>Lower-skilled workers could earn more in an AI world, research indicates</title>
                    <description>For anyone worried about AI&#039;s effects on jobs, here&#039;s good news: New research by Stanford economist Lukas Althoff concludes that artificial intelligence is likely to reshape jobs rather than eliminate entire occupations and will ultimately increase wages for all workers—with the biggest gains benefiting lower-skilled workers.</description>
                    <link>https://phys.org/news/2026-07-skilled-workers-ai-world.html</link>
                    <category>Economics &amp; Business</category>                    <pubDate>Tue, 14 Jul 2026 07:40:03 EDT</pubDate>
                    <guid isPermaLink="false">news703228441</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2026/carpenter-1.jpg" width="90" height="90" />
                                    </item>
                            <item>
                    <title>Researchers develop low-cost AI tool to help cities map urban tree canopy</title>
                    <description>As a heat dome drives dangerous temperatures across much of the United States and renews concerns about extreme heat, USC researchers have developed a new, freely available AI tool that could help cities better understand one of their best defenses against rising temperatures: trees.</description>
                    <link>https://phys.org/news/2026-07-ai-tool-cities-urban-tree.html</link>
                    <category>Environment</category>                    <pubDate>Thu, 09 Jul 2026 07:40:05 EDT</pubDate>
                    <guid isPermaLink="false">news702799682</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2026/researchers-develop-lo.jpg" width="90" height="90" />
                                    </item>
                            <item>
                    <title>Deep learning reveals nanoparticle shape from routine tracking analysis without new hardware</title>
                    <description>Researchers at the University of Tokyo and the Innovation Center of NanoMedicine (iCONM) have developed an artificial intelligence (AI) approach that identifies the morphology of nanoparticles in liquid using data from standard nanoparticle tracking analysis (NTA), a widely used technique for particle sizing. The method achieved classification accuracies exceeding 80% for non-spherical nanoparticles without requiring modification of existing instruments.</description>
                    <link>https://phys.org/news/2026-07-deep-reveals-nanoparticle-routine-tracking.html</link>
                    <category>Nanomaterials</category>                    <pubDate>Tue, 07 Jul 2026 16:20:06 EDT</pubDate>
                    <guid isPermaLink="false">news702657911</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2026/ai-reveals-nanoparticl.jpg" width="90" height="90" />
                                    </item>
                            <item>
                    <title>Molecular nanostructures can be activated using ultrasound</title>
                    <description>Researchers from Heinrich Heine University Düsseldorf (HHU) have taken an important step toward developing intelligent molecular materials. The team headed by Dr. Bernd M. Schmidt (Institute of Organic Chemistry and Macromolecular Chemistry) and Professor Dr. Jan Meisner (Institute of Physical Chemistry) has shown that complex molecular nanostructures can be selectively activated, disassembled in a controlled way and even reassembled using ultrasound. The results, published in Nature Communications, could, for example, aid the development of more targeted cancer medication in the future.</description>
                    <link>https://phys.org/news/2026-07-molecular-nanostructures-ultrasound.html</link>
                    <category>Bio &amp; Medicine</category>                    <pubDate>Mon, 06 Jul 2026 15:20:09 EDT</pubDate>
                    <guid isPermaLink="false">news702562709</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2026/molecular-nanostructur.jpg" width="90" height="90" />
                                    </item>
                            <item>
                    <title>Quantum hyperdimensional computing can work 500 times faster than other methods</title>
                    <description>Cleveland Clinic researchers are unlocking quantum computing&#039;s full potential through the creation of a new computing paradigm inspired by the human brain. Fabio Cumbo, Ph.D., research associate in the lab of Daniel Blankenberg, Ph.D., associate staff, Computational Life Sciences, is developing the model, called quantum hyperdimensional computing (QHDC).</description>
                    <link>https://phys.org/news/2026-06-quantum-hyperdimensional-faster-methods.html</link>
                    <category>Quantum Physics</category>                    <pubDate>Tue, 16 Jun 2026 19:00:03 EDT</pubDate>
                    <guid isPermaLink="false">news700834148</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2026/quantum-computing-para.jpg" width="90" height="90" />
                                    </item>
                            <item>
                    <title>Interpretable AI in materials discovery: Uncovering how models make predictions</title>
                    <description>A method to interpret artificial intelligence (AI) models used in materials discovery by analyzing their learned features has been developed by researchers from Japan. The method extracts key features from an AI model trained on atomic structural data and optical absorption spectra, and then groups materials with similar structural and spectral characteristics. This approach can be extended to reveal how atomic arrangements influence other material properties, paving the way for more efficient materials design.</description>
                    <link>https://phys.org/news/2026-06-ai-materials-discovery-uncovering.html</link>
                    <category>Analytical Chemistry</category>                    <pubDate>Sun, 14 Jun 2026 21:30:01 EDT</pubDate>
                    <guid isPermaLink="false">news700482481</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2026/interpretable-ai-in-ma.jpg" width="90" height="90" />
                                    </item>
                            <item>
                    <title>To achieve &#039;AI for all&#039; in agriculture, Canada&#039;s farmers need regional, systems‑level change</title>
                    <description>Artificial intelligence (AI) is fundamentally reshaping the contours of life as we know it. In agriculture, the world market for AI is expected to reach almost US$47 billion by 2034. AI enables higher farm yields with fewer inputs, an outcome that matters deeply in an era of climate uncertainty and resource scarcity.</description>
                    <link>https://phys.org/news/2026-06-ai-agriculture-canada-farmers-regional.html</link>
                    <category>Biotechnology</category>                    <pubDate>Tue, 09 Jun 2026 18:40:02 EDT</pubDate>
                    <guid isPermaLink="false">news700232930</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2026/field-irrigation.jpg" width="90" height="90" />
                                    </item>
                            <item>
                    <title>Great mysteries of archaeology: An ancient Amazonian world revealed from the sky</title>
                    <description>From the air, you see it only through the constant jolt, tilt, and shudder of the low-flying Cessna aircraft. The landscape of the Llanos de Moxos, northern Bolivia, appears as a disconnected patchwork of open grassland savannahs, forest islands, and lakes.</description>
                    <link>https://phys.org/news/2026-06-great-mysteries-archaeology-ancient-amazonian.html</link>
                    <category>Social Sciences</category>                    <pubDate>Mon, 08 Jun 2026 19:00:04 EDT</pubDate>
                    <guid isPermaLink="false">news700144861</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2026/great-mysteries-of-arc.jpg" width="90" height="90" />
                                    </item>
                            <item>
                    <title>Bacteria can learn and form memories without a brain</title>
                    <description>Researchers at Carnegie Mellon University have shown that bacteria can learn from past experiences, store memories across generations and adapt their behavior to changing environments, all without a brain or nervous system. The research could shape how scientists think about bacterial infections and antibiotic treatment.</description>
                    <link>https://phys.org/news/2026-06-bacteria-memories-brain.html</link>
                    <category>Cell &amp; Microbiology</category>                    <pubDate>Mon, 08 Jun 2026 09:40:04 EDT</pubDate>
                    <guid isPermaLink="false">news700129742</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2026/bacteria-can-learn-and-1.jpg" width="90" height="90" />
                                    </item>
                            <item>
                    <title>&#039;Don&#039;t scare the cat!&#039; Engineers find smarter way to measure quantum systems</title>
                    <description>UNSW Sydney engineers have riffed on the famous Schrödinger&#039;s cat analogy to demonstrate a more efficient way to eliminate errors in quantum computing.</description>
                    <link>https://phys.org/news/2026-06-dont-cat-smarter-quantum.html</link>
                    <category>Quantum Physics</category>                    <pubDate>Wed, 03 Jun 2026 14:40:07 EDT</pubDate>
                    <guid isPermaLink="false">news699709561</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2026/dont-scare-the-cat-eng.jpg" width="90" height="90" />
                                    </item>
                            <item>
                    <title>Teaching thermodynamic laws to AI unlocks a polymer modeling challenge</title>
                    <description>For more than half a century, materials scientists have struggled with how to simulate the complexity of polymer materials. An individual chain can comprise tens of thousands of atoms, a melt or composite contains billions, and the properties engineers actually care about, such as how an adhesive grips a surface, how a self-assembling block copolymer locks into a nanostructure, or how a biopolymer film stretches without tearing, emerge only over length and time scales that forcible atomistic simulation cannot reach.</description>
                    <link>https://phys.org/news/2026-05-thermodynamic-laws-ai-polymer.html</link>
                    <category>Polymers</category>                    <pubDate>Tue, 26 May 2026 19:20:07 EDT</pubDate>
                    <guid isPermaLink="false">news699029450</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2026/teaching-ai-thermodyna.jpg" width="90" height="90" />
                                    </item>
                            <item>
                    <title>A roadmap for safer, explainable protein-design AI</title>
                    <description>Protein language models are artificial intelligence tools which help engineer proteins with useful properties, including completely new structures never seen before in nature.</description>
                    <link>https://phys.org/news/2026-05-roadmap-safer-protein-ai.html</link>
                    <category>Biotechnology</category>                    <pubDate>Mon, 11 May 2026 13:20:06 EDT</pubDate>
                    <guid isPermaLink="false">news697716121</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2026/a-roadmap-for-safer-ex.jpg" width="90" height="90" />
                                    </item>
                            <item>
                    <title>Super transformer aims to bring order to biology&#039;s data under one AI model</title>
                    <description>Modern biology is awash in data. Scientists can sequence DNA, track gene activity cell-by-cell, map proteins in space, and image tissues at microscopic resolution. However, it is a struggle to put all that information together to form a cohesive view.</description>
                    <link>https://phys.org/news/2026-05-super-aims-biology-ai.html</link>
                    <category>Biotechnology</category>                    <pubDate>Tue, 05 May 2026 13:40:06 EDT</pubDate>
                    <guid isPermaLink="false">news697198681</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2026/super-transformer-inte.jpg" width="90" height="90" />
                                    </item>
                            <item>
                    <title>DNA-reading AI reconstructs ancestry in minutes, matching top statistical methods</title>
                    <description>Researchers at the University of Oregon have developed an artificial intelligence tool that can read genetic code the way large language models like ChatGPT read text. Scanning the genome for biological mutation patterns, the computer model traces pairs of genes back in time to their last common ancestor.</description>
                    <link>https://phys.org/news/2026-05-dna-ai-reconstructs-ancestry-minutes.html</link>
                    <category>Biotechnology</category>                    <pubDate>Mon, 04 May 2026 16:20:06 EDT</pubDate>
                    <guid isPermaLink="false">news697124401</guid>
                                            <media:thumbnail url="https://scx1.b-cdn.net/csz/news/tmb/2026/new-ai-model-reads-dna.jpg" width="90" height="90" />
                                    </item>
                        </channel>
</rss>