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                    <title>Phys.org news tagged with:language data</title>
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            <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>

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                    <title>New report confirms 2025 among Hawai&#039;i&#039;s driest, warmest on record</title>
                    <description>In 2025, Hawaiʻi experienced its second-driest year in more than a century, alongside persistently above-average temperatures throughout the year—a stark reality detailed in the inaugural Hawai&#039;i Annual Climate Report 2025. Published by the University of Hawai&#039;i Sea Grant College Program, this first-of-its-kind report uses plain language, along with easy-to-interpret maps and figures, to summarize statewide rainfall, temperature, and drought conditions over the past year.</description>
                    <link>https://phys.org/news/2026-02-hawaii-driest-warmest.html</link>
                    <category>Environment</category>                    <pubDate>Thu, 05 Feb 2026 13:00:03 EST</pubDate>
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                    <title>Beyond keywords: Review flags bias and reliability gaps in disaster social media research</title>
                    <description>Far from simply a source of unstructured online content, disaster management in the digital age can be supported by careful analysis of online social-media data, suggests a  paper published in Natural Hazards and Earth System Sciences (NHESS) titled &quot;Social Media for Managing Disasters Triggered by Natural Hazards: A Critical Review of Data Collection Strategies and Actionable Insights.&quot;</description>
                    <link>https://phys.org/news/2026-01-keywords-flags-bias-reliability-gaps.html</link>
                    <category>Earth Sciences</category>                    <pubDate>Fri, 30 Jan 2026 06:10:01 EST</pubDate>
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                    <title>Unearthing experimental materials data buried in scientific papers using LLMs</title>
                    <description>Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional materials. Materials scientists are therefore working to develop and improve new materials, but predicting material properties is no simple task. Data science is key to transforming this field, and new tools powered by artificial intelligence are expected to accelerate the exploration, collection, and management of materials property data worldwide.</description>
                    <link>https://phys.org/news/2026-01-unearthing-experimental-materials-scientific-papers.html</link>
                    <category>Analytical Chemistry</category>                    <pubDate>Wed, 07 Jan 2026 14:53:15 EST</pubDate>
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                    <title>The minority dilemma in media reports: Study finds cognitive bias, not prejudice, drives labels in news coverage</title>
                    <description>In media coverage, individuals&#039; membership in minority groups, such as their country of origin, is often explicitly mentioned. In contrast, majority membership is usually not highlighted. Does this reflect prejudice against minorities?</description>
                    <link>https://phys.org/news/2025-12-minority-dilemma-media-cognitive-bias.html</link>
                    <category>Social Sciences</category>                    <pubDate>Tue, 02 Dec 2025 16:10:24 EST</pubDate>
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                    <title>Transformer AI models outperform neural networks in stock market prediction, study shows</title>
                    <description>Like other sectors of society, artificial intelligence is fundamentally changing how investors, traders and companies make decisions in financial markets. AI models have the ability to analyze massive amounts of data while reading company filings or news headlines almost instantaneously. This is allowing for faster, more automated trading, which is making it difficult for human traders—not utilizing AI—to find an edge in the markets.</description>
                    <link>https://phys.org/news/2025-11-ai-outperform-neural-networks-stock.html</link>
                    <category>Economics &amp; Business</category>                    <pubDate>Thu, 20 Nov 2025 11:17:04 EST</pubDate>
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                    <title>Hidden signatures of ancient Rome&#039;s master craftsmen revealed</title>
                    <description>In the hushed light of a museum gallery, Hallie Meredith discovered something intriguing about ancient Roman glasswork hiding in plain sight.</description>
                    <link>https://phys.org/news/2025-11-hidden-signatures-ancient-rome-master.html</link>
                    <category>Archaeology</category>                    <pubDate>Thu, 13 Nov 2025 09:35:04 EST</pubDate>
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                    <title>Trends of generative AI applications in educational settings</title>
                    <description>A study published in the International Journal of Mobile Learning and Organisation has mapped the fast-growing field of generative artificial intelligence (GenAI) in education. The research highlights both the technology&#039;s transformative potential and gaps in understanding how it affects learning and cognition. Academic interest in GenAI has surged, from just a handful of papers to many hundreds now.</description>
                    <link>https://phys.org/news/2025-10-trends-generative-ai-applications.html</link>
                    <category>Education</category>                    <pubDate>Mon, 27 Oct 2025 18:00:02 EDT</pubDate>
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                    <title>Chemical language models don&#039;t need to understand chemistry, study demonstrates</title>
                    <description>Language models are now also being used in the natural sciences. In chemistry, they are employed, for instance, to predict new biologically active compounds. Chemical language models (CLMs) must be extensively trained. However, they do not necessarily acquire knowledge of biochemical relationships during training. Instead, they draw conclusions based on similarities and statistical correlations, as a recent study by the University of Bonn demonstrates. The results have now been published in the journal Patterns.</description>
                    <link>https://phys.org/news/2025-10-chemical-language-dont-chemistry.html</link>
                    <category>Analytical Chemistry</category>                    <pubDate>Wed, 15 Oct 2025 09:30:04 EDT</pubDate>
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                    <title>Turning materials data into AI-powered lab assistants</title>
                    <description>As the volume of scientific literature continues to grow, researchers are turning to artificial intelligence to sift through millions of research papers and uncover insights that can accelerate the discovery of new materials.</description>
                    <link>https://phys.org/news/2025-09-materials-ai-powered-lab.html</link>
                    <category>Analytical Chemistry</category>                    <pubDate>Fri, 19 Sep 2025 10:52:52 EDT</pubDate>
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                    <title>AI model predicts better nanoparticles for efficient RNA vaccine delivery</title>
                    <description>Using artificial intelligence, MIT researchers have come up with a new way to design nanoparticles that can more efficiently deliver RNA vaccines and other types of RNA therapies.</description>
                    <link>https://phys.org/news/2025-08-ai-nanoparticles-efficient-rna-vaccine.html</link>
                    <category>Bio &amp; Medicine</category>                    <pubDate>Fri, 15 Aug 2025 05:00:01 EDT</pubDate>
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                    <title>LLMs can predict educational and psychological outcomes from childhood essays with remarkable accuracy</title>
                    <description>Large language models (LLMs), advanced artificial intelligence (AI) models trained to analyze and generate texts in different human languages, have become increasingly widespread over the past few years. Since the release of the conversational platform ChatGPT, which relies on different versions of an LLM called GPT, these models have become widely used by individuals worldwide, while also making their way into some professional and research settings.</description>
                    <link>https://phys.org/news/2025-08-llms-psychological-outcomes-childhood-essays.html</link>
                    <category>Social Sciences</category>                    <pubDate>Thu, 07 Aug 2025 07:00:01 EDT</pubDate>
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                    <title>AI in universities: How large language models are transforming research</title>
                    <description>Generative AI, especially large language models (LLMs), present exciting and unprecedented opportunities and complex challenges for academic research and scholarship.</description>
                    <link>https://phys.org/news/2025-07-ai-universities-large-language.html</link>
                    <category>Education</category>                    <pubDate>Tue, 22 Jul 2025 12:30:01 EDT</pubDate>
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                    <title>PodGPT: AI model learns from science podcasts to better answer questions</title>
                    <description>The rise of generative artificial intelligence (AI), particularly large language models (LLMs), has marked a transformative shift in data analysis, interpretation and content generation. These models, trained on extensive textual datasets, have demonstrated the ability to generate contextually accurate and linguistically rich outputs, with profound implications for fields such as science and medicine, where models like OpenAI&#039;s GPT-4 have shown remarkable aptitude.</description>
                    <link>https://phys.org/news/2025-07-podgpt-ai-science-podcasts.html</link>
                    <category>Education</category>                    <pubDate>Mon, 07 Jul 2025 16:20:04 EDT</pubDate>
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                    <title>Q&amp;A: Expert discusses roadmap for large language models in chemical research</title>
                    <description>In a Q&amp;A, Gabe Gomes discusses the potential to combine human creativity with machine capability, transforming chemical research.</description>
                    <link>https://phys.org/news/2025-06-qa-expert-discusses-roadmap-large.html</link>
                    <category>Analytical Chemistry</category>                    <pubDate>Tue, 24 Jun 2025 11:36:06 EDT</pubDate>
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                    <title>ChatGPT shown to be more persuasive than people in online debates</title>
                    <description>Large language models (LLMs), such as GPT-4, are found to be more persuasive than humans 64% of the time in online debates when adapting their arguments on the basis of personalized information about their opponents, according to a study published in Nature Human Behaviour.</description>
                    <link>https://phys.org/news/2025-05-chatgpt-shown-persuasive-people-online.html</link>
                    <category>Social Sciences</category>                    <pubDate>Mon, 19 May 2025 15:00:04 EDT</pubDate>
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                    <title>AI may speed up the grading process for teachers</title>
                    <description>Grading can be a time-consuming task for many teachers. Artificial intelligence tools may help ease the strain, according to a new study from the University of Georgia published in Technology, Knowledge and Learning.</description>
                    <link>https://phys.org/news/2025-05-ai-grading-teachers.html</link>
                    <category>Education</category>                    <pubDate>Tue, 06 May 2025 09:20:04 EDT</pubDate>
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                    <title>Online AI translators could easily learn Navajo and related languages, study suggests</title>
                    <description>In a new study, Dartmouth researchers trained an AI language-identification model inspired by Google Translate to recognize Navajo with near-perfect accuracy.</description>
                    <link>https://phys.org/news/2025-05-online-ai-easily-navajo-languages.html</link>
                    <category>Social Sciences</category>                    <pubDate>Thu, 01 May 2025 12:11:04 EDT</pubDate>
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                    <title>Shark AI uses fossil shark teeth to get middle school kids interested in paleontology and computer vision</title>
                    <description>Most kids have a natural curiosity about sharks—especially their sharp and abundant teeth. Our team had the idea to use the appeal of this charismatic apex predator to teach how scientists use artificial intelligence.</description>
                    <link>https://phys.org/news/2025-04-shark-ai-fossil-teeth-middle.html</link>
                    <category>Education</category>                    <pubDate>Wed, 09 Apr 2025 12:01:04 EDT</pubDate>
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                    <title>AI reshapes how we observe the stars</title>
                    <description>AI tools are transforming how we observe the world around us—and even the stars beyond. Recently, an international team proved that deep learning techniques and large language models can help astronomers classify stars with high accuracy and efficiency. Their study, &quot;Deep Learning and Methods Based on Large Language Models Applied to Stellar Light Curve Classification,&quot; was published Feb. 26 in Intelligent Computing.</description>
                    <link>https://phys.org/news/2025-03-ai-reshapes-stars.html</link>
                    <category>Astronomy</category>                    <pubDate>Mon, 24 Mar 2025 12:24:01 EDT</pubDate>
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                    <title>Bilingual children with special educational needs may be missing out on support in England</title>
                    <description>English isn&#039;t the first language of over 20% of pupils in schools in England, and this proportion is rising. The children in this group who also have special educational needs or disabilities may be falling through the cracks, missing out on support that would help them succeed.</description>
                    <link>https://phys.org/news/2025-02-bilingual-children-special-england.html</link>
                    <category>Education</category>                    <pubDate>Thu, 20 Feb 2025 11:09:04 EST</pubDate>
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                    <title>Personal AI assistants could help astronauts on long missions</title>
                    <description>How can artificial intelligence (AI) help astronauts on long-term space missions? This is what a recent study presented at the 2024 International Astronautical Congress in Milan, Italy, hopes to address.</description>
                    <link>https://phys.org/news/2024-12-personal-ai-astronauts-missions.html</link>
                    <category>Space Exploration</category>                    <pubDate>Wed, 04 Dec 2024 09:05:45 EST</pubDate>
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                    <title>New language encodes shape and structure to help machine learning models predict nanopore properties</title>
                    <description>A large number of 2D materials like graphene can have nanopores—small holes formed by missing atoms through which foreign substances can pass. The properties of these nanopores dictate many of the materials&#039; properties, enabling the latter to sense gases, filter out seawater, and even help in DNA sequencing.</description>
                    <link>https://phys.org/news/2024-11-language-encodes-machine-nanopore-properties.html</link>
                    <category>Nanomaterials</category>                    <pubDate>Wed, 20 Nov 2024 11:47:04 EST</pubDate>
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                    <title>Saved from extinction? New modeling suggests a hopeful future for te reo Māori language</title>
                    <description>Just four years ago, experts warned te reo Māori was on a &quot;pathway towards extinction&quot; unless resources were put into teaching young Māori.</description>
                    <link>https://phys.org/news/2024-09-extinction-future-te-reo-mori.html</link>
                    <category>Social Sciences</category>                    <pubDate>Tue, 17 Sep 2024 12:11:06 EDT</pubDate>
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                    <title>Developing bird migration tracking with call detection technology</title>
                    <description>A research team primarily based at New York University (NYU) has achieved a breakthrough in ornithology and artificial intelligence by developing an end-to-end system to detect and identify the subtle nocturnal calls of migrating birds.</description>
                    <link>https://phys.org/news/2024-09-bird-migration-tracking-technology.html</link>
                    <category>Ecology</category>                    <pubDate>Wed, 04 Sep 2024 14:36:00 EDT</pubDate>
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                    <title>Research unveils new tool for analyzing organizational culture through digital data</title>
                    <description>Prof. Dr. Klaus Boehnke, Professor of Social Science Methodology at Constructor University, has published a research article in the European Journal of Work and Organizational Psychology.</description>
                    <link>https://phys.org/news/2024-07-unveils-tool-organizational-culture-digital.html</link>
                    <category>Social Sciences</category>                    <pubDate>Thu, 18 Jul 2024 13:25:03 EDT</pubDate>
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                    <title>New research finds biases encoded in language across cultures and history</title>
                    <description>In a new study published in Social Psychological and Personality Science, researchers share evidence that people&#039;s attitudes are deeply woven into language and culture across the globe and centuries.</description>
                    <link>https://phys.org/news/2024-06-biases-encoded-language-cultures-history.html</link>
                    <category>Social Sciences</category>                    <pubDate>Fri, 14 Jun 2024 09:00:01 EDT</pubDate>
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                    <title>Do dog &#039;talking buttons&#039; actually work? Does my dog understand me? Here&#039;s what the science says</title>
                    <description>Is your dog bothered by something but you can&#039;t work out what? Do you wish they could tell you?</description>
                    <link>https://phys.org/news/2023-12-dog-buttons-science.html</link>
                    <category>Plants &amp; Animals</category>                    <pubDate>Tue, 19 Dec 2023 12:50:01 EST</pubDate>
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                    <title>Research investigates thermal impact of 3D stacking photonic and electronic chips</title>
                    <description>Recent advancements in AI and more specifically large language models such as ChatGPT have put a strain on data centers. AI models require huge amounts of data to train, and in order to move data between the processing units and memory, efficient communication links become necessary.</description>
                    <link>https://phys.org/news/2023-12-thermal-impact-3d-stacking-photonic.html</link>
                    <category>Optics &amp; Photonics</category>                    <pubDate>Thu, 07 Dec 2023 13:05:03 EST</pubDate>
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                    <title>&#039;Your United States was normal&#039;: Has translation tech really made language learning redundant?</title>
                    <description>Every day, millions of people start the day by posting a greeting on social media. None of them expect to be arrested for their friendly morning ritual.</description>
                    <link>https://phys.org/news/2023-11-states-tech-language-redundant.html</link>
                    <category>Social Sciences</category>                    <pubDate>Wed, 22 Nov 2023 11:50:04 EST</pubDate>
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                    <title>Artificial intelligence skills can increase salaries by as much as 40%, study suggests</title>
                    <description>Workers with artificial intelligence skills are &quot;particularly valuable,&quot; and command salaries 21% higher than average, but potentially up to 40% higher—in part because these skills can be combined with other valuable skills—according to a study from researchers at the Oxford Internet Institute, and the Center for Social Data Science, University of Copenhagen.</description>
                    <link>https://phys.org/news/2023-10-artificial-intelligence-skills-salaries.html</link>
                    <category>Economics &amp; Business</category>                    <pubDate>Tue, 24 Oct 2023 14:09:03 EDT</pubDate>
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