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		<title>Mathematical Modeling News -- ScienceDaily</title>
		<link>https://www.sciencedaily.com/news/computers_math/mathematical_modeling/</link>
		<description>Math modeling. Browse research on mathematical models. Read about math models explaining the shape of the ear, stock performance, musical expression, diseases and more.</description>
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		<pubDate>Sat, 11 Apr 2026 10:13:34 EDT</pubDate>
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			<title>Mathematical Modeling News -- ScienceDaily</title>
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			<description>For more science news, visit ScienceDaily.</description>
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			<title>Scientists used 7,000 GPUs to simulate a tiny quantum chip in extreme detail</title>
			<link>https://www.sciencedaily.com/releases/2026/03/260317064504.htm</link>
			<description>Researchers have pushed quantum chip design into a new era by simulating every physical detail before fabrication. Using a supercomputer with nearly 7,000 GPUs, they modeled how signals travel and interact inside an ultra-tiny chip. Unlike earlier “black box” approaches, this method captures real materials, layouts, and qubit behavior. The result is a powerful new way to spot problems early and build better quantum hardware faster.</description>
			<pubDate>Tue, 17 Mar 2026 23:35:04 EDT</pubDate>
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			<title>THOR AI solves a 100-year-old physics problem in seconds</title>
			<link>https://www.sciencedaily.com/releases/2026/03/260315004344.htm</link>
			<description>A new AI framework called THOR is transforming how scientists calculate the behavior of atoms inside materials. Instead of relying on slow simulations that take weeks of supercomputer time, the system uses tensor network mathematics and machine-learning models to solve the problem directly. The approach can compute key thermodynamic properties hundreds of times faster while preserving accuracy. Researchers say this could accelerate discoveries in materials science, physics, and chemistry.</description>
			<pubDate>Sun, 15 Mar 2026 20:38:21 EDT</pubDate>
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			<title>Scientists finally see the atomic flaws hiding inside computer chips</title>
			<link>https://www.sciencedaily.com/releases/2026/03/260305182657.htm</link>
			<description>Researchers at Cornell University have developed a powerful imaging technique that reveals atomic scale defects inside computer chips for the first time. Using an advanced electron microscopy method, the team mapped the exact positions of atoms inside tiny transistor structures and uncovered small imperfections nicknamed “mouse bites.” These defects form during the complex manufacturing process and can disrupt how electrons flow through a chip’s channels, which are only about 15 to 18 atoms wide.</description>
			<pubDate>Thu, 05 Mar 2026 19:42:42 EST</pubDate>
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			<title>Scientists build a “periodic table” for AI</title>
			<link>https://www.sciencedaily.com/releases/2026/03/260303145714.htm</link>
			<description>Choosing the right method for multimodal AI—systems that combine text, images, and more—has long been trial and error. Emory physicists created a unifying mathematical framework that shows many AI techniques rely on the same core idea: compress data while preserving what’s most predictive. Their “control knob” approach helps researchers design better algorithms, use less data, and avoid wasted computing power. The team believes it could pave the way for more accurate, efficient, and environmentally friendly AI.</description>
			<pubDate>Tue, 03 Mar 2026 14:57:14 EST</pubDate>
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			<title>Generative AI analyzes medical data faster than human research teams</title>
			<link>https://www.sciencedaily.com/releases/2026/02/260221060942.htm</link>
			<description>Researchers tested whether generative AI could handle complex medical datasets as well as human experts. In some cases, the AI matched or outperformed teams that had spent months building prediction models. By generating usable analytical code from precise prompts, the systems dramatically reduced the time needed to process health data. The findings hint at a future where AI helps scientists move faster from data to discovery.</description>
			<pubDate>Sat, 21 Feb 2026 06:17:29 EST</pubDate>
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			<title>Brain inspired machines are better at math than expected</title>
			<link>https://www.sciencedaily.com/releases/2026/02/260213223923.htm</link>
			<description>Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The breakthrough could lead to powerful, low-energy supercomputers while revealing new secrets about how our brains process information.</description>
			<pubDate>Sat, 14 Feb 2026 10:19:40 EST</pubDate>
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			<title>Twisted 2D magnet creates skyrmions for ultra dense data storage</title>
			<link>https://www.sciencedaily.com/releases/2026/02/260212234158.htm</link>
			<description>As data keeps exploding worldwide, scientists are racing to pack more information into smaller and smaller spaces — and a team at the University of Stuttgart may have just unlocked a powerful new trick. By slightly twisting ultra-thin layers of a magnetic material called chromium iodide, researchers created an entirely new magnetic state that hosts tiny, stable structures known as skyrmions — some of the smallest and toughest information carriers ever observed.</description>
			<pubDate>Fri, 13 Feb 2026 07:36:20 EST</pubDate>
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			<title>“Existential risk” – Why scientists are racing to define consciousness</title>
			<link>https://www.sciencedaily.com/releases/2026/01/260131084626.htm</link>
			<description>Scientists warn that rapid advances in AI and neurotechnology are outpacing our understanding of consciousness, creating serious ethical risks. New research argues that developing scientific tests for awareness could transform medicine, animal welfare, law, and AI development. But identifying consciousness in machines, brain organoids, or patients could also force society to rethink responsibility, rights, and moral boundaries. The question of what it means to be conscious has never been more urgent—or more unsettling.</description>
			<pubDate>Sun, 01 Feb 2026 08:49:46 EST</pubDate>
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			<title>Scientists use AI to crack the code of nature’s most complex patterns 1,000x faster</title>
			<link>https://www.sciencedaily.com/releases/2026/01/260128075336.htm</link>
			<description>Order doesn’t always form perfectly—and those imperfections can be surprisingly powerful. In materials like liquid crystals, tiny “defects” emerge when symmetry breaks, shaping everything from cosmic structures to everyday technologies. Now, researchers have developed an AI-powered method that can predict how these defects will form and evolve in milliseconds instead of hours. By learning directly from data, the system accurately maps molecular alignments and complex defect behavior, even in situations where defects merge or split.</description>
			<pubDate>Thu, 29 Jan 2026 23:44:25 EST</pubDate>
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			<title>Researchers tested AI against 100,000 humans on creativity</title>
			<link>https://www.sciencedaily.com/releases/2026/01/260125083356.htm</link>
			<description>A massive new study comparing more than 100,000 people with today’s most advanced AI systems delivers a surprising result: generative AI can now beat the average human on certain creativity tests. Models like GPT-4 showed strong performance on tasks designed to measure original thinking and idea generation, sometimes outperforming typical human responses. But there’s a clear ceiling. The most creative humans — especially the top 10% — still leave AI well behind, particularly on richer creative work like poetry and storytelling.</description>
			<pubDate>Sun, 25 Jan 2026 09:50:27 EST</pubDate>
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			<title>The human brain may work more like AI than anyone expected</title>
			<link>https://www.sciencedaily.com/releases/2026/01/260120000308.htm</link>
			<description>Scientists have discovered that the human brain understands spoken language in a way that closely resembles how advanced AI language models work. By tracking brain activity as people listened to a long podcast, researchers found that meaning unfolds step by step—much like the layered processing inside systems such as GPT-style models.</description>
			<pubDate>Wed, 21 Jan 2026 01:49:52 EST</pubDate>
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			<title>Inside the mysterious collapse of dark matter halos</title>
			<link>https://www.sciencedaily.com/releases/2026/01/260118233609.htm</link>
			<description>Physicists have unveiled a new way to simulate a mysterious form of dark matter that can collide with itself but not with normal matter. This self-interacting dark matter may trigger a dramatic collapse inside dark matter halos, heating and densifying their cores in surprising ways. Until now, this crucial middle ground of behavior was nearly impossible to model accurately. The new code makes these simulations faster, more precise, and accessible enough to run on a laptop.</description>
			<pubDate>Mon, 19 Jan 2026 07:52:41 EST</pubDate>
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			<title>How everyday foam reveals the secret logic of artificial intelligence</title>
			<link>https://www.sciencedaily.com/releases/2026/01/260114084109.htm</link>
			<description>Foams were once thought to behave like glass, with bubbles frozen in place at the microscopic level. But new simulations reveal that foam bubbles are always shifting, even while the foam keeps its overall shape. Remarkably, this restless motion follows the same math used to train artificial intelligence. The finding hints that learning-like behavior may be a fundamental principle shared by materials, machines, and living cells.</description>
			<pubDate>Thu, 15 Jan 2026 00:20:26 EST</pubDate>
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			<title>This new imaging technology breaks the rules of optics</title>
			<link>https://www.sciencedaily.com/releases/2026/01/260110211214.htm</link>
			<description>Scientists have unveiled a new way to capture ultra-sharp optical images without lenses or painstaking alignment. The approach uses multiple sensors to collect raw light patterns independently, then synchronizes them later using computation. This sidesteps long-standing physical limits that have held optical imaging back for decades. The result is wide-field, sub-micron resolution from distances that were previously impossible.</description>
			<pubDate>Sat, 10 Jan 2026 21:12:14 EST</pubDate>
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			<title>These mesmerizing patterns are secretly solving hard problems</title>
			<link>https://www.sciencedaily.com/releases/2026/01/260106224632.htm</link>
			<description>Tessellations aren’t just eye-catching patterns—they can be used to crack complex mathematical problems. By repeatedly reflecting shapes to tile a surface, researchers uncovered a method that links geometry, symmetry, and problem-solving. The technique works in both ordinary flat space and curved hyperbolic worlds used in theoretical physics. Its blend of beauty and precision could influence everything from engineering to digital design.</description>
			<pubDate>Wed, 07 Jan 2026 19:01:16 EST</pubDate>
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			<title>This AI finds simple rules where humans see only chaos</title>
			<link>https://www.sciencedaily.com/releases/2025/12/251221091237.htm</link>
			<description>A new AI developed at Duke University can uncover simple, readable rules behind extremely complex systems. It studies how systems evolve over time and reduces thousands of variables into compact equations that still capture real behavior. The method works across physics, engineering, climate science, and biology. Researchers say it could help scientists understand systems where traditional equations are missing or too complicated to write down.</description>
			<pubDate>Mon, 22 Dec 2025 01:04:50 EST</pubDate>
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			<title>A new tool is revealing the invisible networks inside cancer</title>
			<link>https://www.sciencedaily.com/releases/2025/12/251221043216.htm</link>
			<description>Spanish researchers have created a powerful new open-source tool that helps uncover the hidden genetic networks driving cancer. Called RNACOREX, the software can analyze thousands of molecular interactions at once, revealing how genes communicate inside tumors and how those signals relate to patient survival. Tested across 13 different cancer types using international data, the tool matches the predictive power of advanced AI systems—while offering something rare in modern analytics: clear, interpretable explanations that help scientists understand why tumors behave the way they do.</description>
			<pubDate>Sun, 21 Dec 2025 07:29:28 EST</pubDate>
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			<title>AI detects cancer but it’s also reading who you are</title>
			<link>https://www.sciencedaily.com/releases/2025/12/251217231230.htm</link>
			<description>AI tools designed to diagnose cancer from tissue samples are quietly learning more than just disease patterns. New research shows these systems can infer patient demographics from pathology slides, leading to biased results for certain groups. The bias stems from how the models are trained and the data they see, not just from missing samples. Researchers also demonstrated a way to significantly reduce these disparities.</description>
			<pubDate>Wed, 17 Dec 2025 23:53:41 EST</pubDate>
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			<title>Scientists prove “impossible” Earth-to-space quantum link is feasible</title>
			<link>https://www.sciencedaily.com/releases/2025/12/251217082515.htm</link>
			<description>Researchers have shown that quantum signals can be sent from Earth up to satellites, not just down from space as previously believed. This breakthrough could make global quantum networks far more powerful, affordable, and practical.</description>
			<pubDate>Wed, 17 Dec 2025 11:25:24 EST</pubDate>
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			<title>Ramanujan’s 100-year-old pi formula is still revealing the Universe</title>
			<link>https://www.sciencedaily.com/releases/2025/12/251216081949.htm</link>
			<description>Ramanujan’s elegant formulas for calculating pi, developed more than a century ago, have unexpectedly resurfaced at the heart of modern physics. Researchers at IISc discovered that the same mathematical structures behind these formulas also describe real-world phenomena like turbulence, percolation, and even black holes. What once seemed like pure mathematics now appears deeply intertwined with the physical laws governing the universe.</description>
			<pubDate>Tue, 16 Dec 2025 08:19:49 EST</pubDate>
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			<title>AI’s climate impact is much smaller than many feared</title>
			<link>https://www.sciencedaily.com/releases/2025/12/251205054736.htm</link>
			<description>New findings challenge the widespread belief that AI is an environmental villain. By analyzing U.S. economic data and AI usage across industries, researchers discovered that AI’s energy consumption—while significant locally—barely registers at national or global scales. Even more surprising, AI could help accelerate green technologies rather than hinder them.</description>
			<pubDate>Sat, 06 Dec 2025 09:33:39 EST</pubDate>
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			<title>Architects gain a new superpower for complex curved designs</title>
			<link>https://www.sciencedaily.com/releases/2025/12/251205045853.htm</link>
			<description>A researcher from the University of Tokyo and a U.S.-based structural engineer developed a new computational form-finding method that could change how architects and engineers design lightweight and free-form structures covering large spaces. The technique specifically helps create gridshells, thin, curved surfaces whose members form a networked grid. The method makes use of NURBS surfaces, a widely used surface representation format in computer-aided design (CAD). It also drastically reduces computation cost — a task that previously took 90 hours on a high-end GPU completes in about 90 minutes on a standard CPU.</description>
			<pubDate>Fri, 05 Dec 2025 07:59:11 EST</pubDate>
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			<title>AI creates the first 100-billion-star Milky Way simulation</title>
			<link>https://www.sciencedaily.com/releases/2025/11/251116105515.htm</link>
			<description>Researchers combined deep learning with high-resolution physics to create the first Milky Way model that tracks over 100 billion stars individually. Their AI learned how gas behaves after supernovae, removing one of the biggest computational bottlenecks in galactic modeling. The result is a simulation hundreds of times faster than current methods.</description>
			<pubDate>Sun, 16 Nov 2025 12:09:23 EST</pubDate>
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			<title>Chimps shock scientists by changing their minds with new evidence</title>
			<link>https://www.sciencedaily.com/releases/2025/11/251115095928.htm</link>
			<description>Chimps may revise their beliefs in surprisingly human-like ways. Experiments showed they switched choices when presented with stronger clues, demonstrating flexible reasoning. Computational modeling confirmed these decisions weren’t just instinct. The findings could influence how we think about learning in both children and AI.</description>
			<pubDate>Sun, 16 Nov 2025 02:30:46 EST</pubDate>
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			<title>A single beam of light runs AI with supercomputer power</title>
			<link>https://www.sciencedaily.com/releases/2025/11/251115095923.htm</link>
			<description>Aalto University researchers have developed a method to execute AI tensor operations using just one pass of light. By encoding data directly into light waves, they enable calculations to occur naturally and simultaneously. The approach works passively, without electronics, and could soon be integrated into photonic chips. If adopted, it promises dramatically faster and more energy-efficient AI systems.</description>
			<pubDate>Sun, 16 Nov 2025 02:00:12 EST</pubDate>
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			<title>Artificial neurons that behave like real brain cells</title>
			<link>https://www.sciencedaily.com/releases/2025/11/251105050723.htm</link>
			<description>USC researchers built artificial neurons that replicate real brain processes using ion-based diffusive memristors. These devices emulate how neurons use chemicals to transmit and process signals, offering massive energy and size advantages. The technology may enable brain-like, hardware-based learning systems. It could transform AI into something closer to natural intelligence.</description>
			<pubDate>Wed, 05 Nov 2025 10:34:51 EST</pubDate>
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			<title>Scientists discover a way simulate the Universe on a laptop</title>
			<link>https://www.sciencedaily.com/releases/2025/10/251029100200.htm</link>
			<description>Scientists have developed a groundbreaking tool called Effort.jl that lets them simulate the structure of the universe using just a laptop. The team created a system that dramatically speeds up how researchers study cosmic data, turning what once took days of supercomputer time into just a few hours. This new approach helps scientists explore massive datasets, test models, and fine-tune their understanding of how galaxies form and evolve.</description>
			<pubDate>Thu, 30 Oct 2025 04:12:34 EDT</pubDate>
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			<title>Breakthrough optical processor lets AI compute at the speed of light</title>
			<link>https://www.sciencedaily.com/releases/2025/10/251027224833.htm</link>
			<description>Researchers at Tsinghua University developed the Optical Feature Extraction Engine (OFE2), an optical engine that processes data at 12.5 GHz using light rather than electricity. Its integrated diffraction and data preparation modules enable unprecedented speed and efficiency for AI tasks. Demonstrations in imaging and trading showed improved accuracy, lower latency, and reduced power demand. This innovation pushes optical computing toward real-world, high-performance AI.</description>
			<pubDate>Tue, 28 Oct 2025 09:14:28 EDT</pubDate>
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			<title>The math says life shouldn’t exist, but somehow it does</title>
			<link>https://www.sciencedaily.com/releases/2025/10/251026021759.htm</link>
			<description>Life’s origin story just became even more mysterious. Using mathematics and information theory, Robert G. Endres of Imperial College London found that the spontaneous emergence of life from nonliving matter may be far more difficult than scientists once thought.</description>
			<pubDate>Sun, 26 Oct 2025 02:17:59 EDT</pubDate>
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			<title>Quantum crystals could spark the next tech revolution</title>
			<link>https://www.sciencedaily.com/releases/2025/10/251015230945.htm</link>
			<description>Auburn scientists have designed new materials that manipulate free electrons to unlock groundbreaking applications. These “Surface Immobilized Electrides” could power future quantum computers or transform chemical manufacturing. Stable, tunable, and scalable, they represent a leap beyond traditional electrides. The work bridges theory and potential real-world use.</description>
			<pubDate>Thu, 16 Oct 2025 02:09:02 EDT</pubDate>
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			<title>This 250-year-old equation just got a quantum makeover</title>
			<link>https://www.sciencedaily.com/releases/2025/10/251013040333.htm</link>
			<description>A team of international physicists has brought Bayes’ centuries-old probability rule into the quantum world. By applying the “principle of minimum change” — updating beliefs as little as possible while remaining consistent with new data — they derived a quantum version of Bayes’ rule from first principles. Their work connects quantum fidelity (a measure of similarity between quantum states) to classical probability reasoning, validating a mathematical concept known as the Petz map.</description>
			<pubDate>Mon, 13 Oct 2025 12:25:08 EDT</pubDate>
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			<title>Quantum simulations that once needed supercomputers now run on laptops</title>
			<link>https://www.sciencedaily.com/releases/2025/10/251011105515.htm</link>
			<description>A team at the University at Buffalo has made it possible to simulate complex quantum systems without needing a supercomputer. By expanding the truncated Wigner approximation, they’ve created an accessible, efficient way to model real-world quantum behavior. Their method translates dense equations into a ready-to-use format that runs on ordinary computers. It could transform how physicists explore quantum phenomena.</description>
			<pubDate>Sun, 12 Oct 2025 01:11:43 EDT</pubDate>
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			<title>Scientists suggest the brain may work best with 7 senses, not just 5</title>
			<link>https://www.sciencedaily.com/releases/2025/10/251008030955.htm</link>
			<description>Scientists at Skoltech developed a new mathematical model of memory that explores how information is encoded and stored. Their analysis suggests that memory works best in a seven-dimensional conceptual space — equivalent to having seven senses. The finding implies that both humans and AI might benefit from broader sensory inputs to optimize learning and recall.</description>
			<pubDate>Wed, 08 Oct 2025 03:09:55 EDT</pubDate>
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			<title>Scientists just recreated a wildfire that made its own weather</title>
			<link>https://www.sciencedaily.com/releases/2025/10/251002074001.htm</link>
			<description>In 2020, California’s Creek Fire became so intense that it generated its own thunderstorm, a phenomenon called a pyrocumulonimbus cloud. For years, scientists struggled to replicate these explosive fire-born storms in climate models, leaving major gaps in understanding their global effects. Now, a new study has finally simulated them successfully, reproducing the Creek Fire’s storm and others like it.</description>
			<pubDate>Thu, 02 Oct 2025 22:57:01 EDT</pubDate>
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			<title>Black hole discovery confirms Einstein and Hawking were right</title>
			<link>https://www.sciencedaily.com/releases/2025/09/250928095645.htm</link>
			<description>A fresh black hole merger detection has offered the clearest evidence yet for Einstein’s relativity and Hawking’s predictions. Scientists tracked the complete cosmic collision, confirming that black holes are defined by mass and spin. They also gained stronger proof that a black hole’s event horizon only grows, echoing thermodynamic laws. The results hint at deeper connections between gravity, entropy, and quantum theory.</description>
			<pubDate>Mon, 29 Sep 2025 00:56:28 EDT</pubDate>
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			<title>Shocking study exposes widespread math research fraud</title>
			<link>https://www.sciencedaily.com/releases/2025/09/250918230811.htm</link>
			<description>A sweeping investigation has revealed widespread fraud in mathematics publishing, where commercial metrics and rankings have incentivized the mass production of meaningless or flawed papers. The study highlights shocking distortions—such as a university without a math department ranked as having the most top mathematicians—and the explosion of megajournals willing to publish anything for a fee.</description>
			<pubDate>Thu, 18 Sep 2025 23:08:11 EDT</pubDate>
			<guid isPermaLink="true">https://www.sciencedaily.com/releases/2025/09/250918230811.htm</guid>
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			<title>Cosmic simulations that once needed supercomputers now run on a laptop</title>
			<link>https://www.sciencedaily.com/releases/2025/09/250918225001.htm</link>
			<description>Astronomers have long relied on supercomputers to simulate the immense structure of the Universe, but a new tool called Effort.jl is changing that. By mimicking the behavior of complex cosmological models, this emulator delivers results with the same accuracy — and sometimes even finer detail — in just minutes on a standard laptop. The breakthrough combines neural networks with clever use of physical knowledge, cutting computation time dramatically while preserving reliability.</description>
			<pubDate>Thu, 18 Sep 2025 22:50:01 EDT</pubDate>
			<guid isPermaLink="true">https://www.sciencedaily.com/releases/2025/09/250918225001.htm</guid>
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			<title>Scientists build quantum computers that snap together like LEGO bricks</title>
			<link>https://www.sciencedaily.com/releases/2025/09/250908175454.htm</link>
			<description>Like LEGO for the quantum age, researchers have created modular superconducting qubits that can be linked with high fidelity. This design allows reconfiguration, upgrades, and scalability, marking a big step toward fault-tolerant quantum computers.</description>
			<pubDate>Mon, 08 Sep 2025 23:57:39 EDT</pubDate>
			<guid isPermaLink="true">https://www.sciencedaily.com/releases/2025/09/250908175454.htm</guid>
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			<title>A strange quantum effect could power future electronics</title>
			<link>https://www.sciencedaily.com/releases/2025/08/250829052208.htm</link>
			<description>Rice University physicists confirmed that flat electronic bands in kagome superconductors aren’t just theoretical, they actively shape superconductivity and magnetism. This breakthrough could guide the design of next-generation quantum materials and technologies.</description>
			<pubDate>Fri, 29 Aug 2025 08:54:47 EDT</pubDate>
			<guid isPermaLink="true">https://www.sciencedaily.com/releases/2025/08/250829052208.htm</guid>
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			<title>Caltech breakthrough makes quantum memory last 30 times longer</title>
			<link>https://www.sciencedaily.com/releases/2025/08/250827234137.htm</link>
			<description>While superconducting qubits are great at fast calculations, they struggle to store information for long periods. A team at Caltech has now developed a clever solution: converting quantum information into sound waves. By using a tiny device that acts like a miniature tuning fork, the researchers were able to extend quantum memory lifetimes up to 30 times longer than before. This breakthrough could pave the way toward practical, scalable quantum computers that can both compute and remember.</description>
			<pubDate>Wed, 27 Aug 2025 23:49:15 EDT</pubDate>
			<guid isPermaLink="true">https://www.sciencedaily.com/releases/2025/08/250827234137.htm</guid>
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			<title>Why tiny bee brains could hold the key to smarter AI</title>
			<link>https://www.sciencedaily.com/releases/2025/08/250824031528.htm</link>
			<description>Researchers discovered that bees use flight movements to sharpen brain signals, enabling them to recognize patterns with remarkable accuracy. A digital model of their brain shows that this movement-based perception could revolutionize AI and robotics by emphasizing efficiency over massive computing power.</description>
			<pubDate>Sun, 24 Aug 2025 03:15:28 EDT</pubDate>
			<guid isPermaLink="true">https://www.sciencedaily.com/releases/2025/08/250824031528.htm</guid>
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			<title>Scientists discover forgotten particle that could unlock quantum computers</title>
			<link>https://www.sciencedaily.com/releases/2025/08/250823083645.htm</link>
			<description>Scientists may have uncovered the missing piece of quantum computing by reviving a particle once dismissed as useless. This particle, called the neglecton, could give fragile quantum systems the full power they need by working alongside Ising anyons. What was once considered mathematical waste may now hold the key to building universal quantum computers, turning discarded theory into a pathway toward the future of technology.</description>
			<pubDate>Sat, 23 Aug 2025 08:42:50 EDT</pubDate>
			<guid isPermaLink="true">https://www.sciencedaily.com/releases/2025/08/250823083645.htm</guid>
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			<title>This simple magnetic trick could change quantum computing forever</title>
			<link>https://www.sciencedaily.com/releases/2025/08/250816113508.htm</link>
			<description>Researchers have unveiled a new quantum material that could make quantum computers much more stable by using magnetism to protect delicate qubits from environmental disturbances. Unlike traditional approaches that rely on rare spin-orbit interactions, this method uses magnetic interactions—common in many materials—to create robust topological excitations. Combined with a new computational tool for finding such materials, this breakthrough could pave the way for practical, disturbance-resistant quantum computers.</description>
			<pubDate>Sat, 16 Aug 2025 23:50:10 EDT</pubDate>
			<guid isPermaLink="true">https://www.sciencedaily.com/releases/2025/08/250816113508.htm</guid>
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			<title>Harvard’s ultra-thin chip could revolutionize quantum computing</title>
			<link>https://www.sciencedaily.com/releases/2025/07/250724232413.htm</link>
			<description>Researchers at Harvard have created a groundbreaking metasurface that can replace bulky and complex optical components used in quantum computing with a single, ultra-thin, nanostructured layer. This innovation could make quantum networks far more scalable, stable, and compact. By harnessing the power of graph theory, the team simplified the design of these quantum metasurfaces, enabling them to generate entangled photons and perform sophisticated quantum operations — all on a chip thinner than a human hair. It&#039;s a radical leap forward for room-temperature quantum technology and photonics.</description>
			<pubDate>Fri, 25 Jul 2025 07:54:30 EDT</pubDate>
			<guid isPermaLink="true">https://www.sciencedaily.com/releases/2025/07/250724232413.htm</guid>
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			<title>A simple twist fooled AI—and revealed a dangerous flaw in medical ethics</title>
			<link>https://www.sciencedaily.com/releases/2025/07/250723045711.htm</link>
			<description>Even the most powerful AI models, including ChatGPT, can make surprisingly basic errors when navigating ethical medical decisions, a new study reveals. Researchers tweaked familiar ethical dilemmas and discovered that AI often defaulted to intuitive but incorrect responses—sometimes ignoring updated facts. The findings raise serious concerns about using AI for high-stakes health decisions and underscore the need for human oversight, especially when ethical nuance or emotional intelligence is involved.</description>
			<pubDate>Thu, 24 Jul 2025 01:58:50 EDT</pubDate>
			<guid isPermaLink="true">https://www.sciencedaily.com/releases/2025/07/250723045711.htm</guid>
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			<title>Scientists discover the moment AI truly understands language</title>
			<link>https://www.sciencedaily.com/releases/2025/07/250707073353.htm</link>
			<description>Neural networks first treat sentences like puzzles solved by word order, but once they read enough, a tipping point sends them diving into word meaning instead—an abrupt “phase transition” reminiscent of water flashing into steam. By revealing this hidden switch, researchers open a window into how transformer models such as ChatGPT grow smarter and hint at new ways to make them leaner, safer, and more predictable.</description>
			<pubDate>Tue, 08 Jul 2025 02:36:49 EDT</pubDate>
			<guid isPermaLink="true">https://www.sciencedaily.com/releases/2025/07/250707073353.htm</guid>
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			<title>Scientists just simulated the “impossible” — fault-tolerant quantum code cracked at last</title>
			<link>https://www.sciencedaily.com/releases/2025/07/250702214157.htm</link>
			<description>A multinational team has cracked a long-standing barrier to reliable quantum computing by inventing an algorithm that lets ordinary computers faithfully mimic a fault-tolerant quantum circuit built on the notoriously tricky GKP bosonic code, promising a crucial test-bed for future quantum hardware.</description>
			<pubDate>Wed, 02 Jul 2025 21:41:57 EDT</pubDate>
			<guid isPermaLink="true">https://www.sciencedaily.com/releases/2025/07/250702214157.htm</guid>
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			<title>Quantum computers just got an upgrade – and it’s 10× more efficient</title>
			<link>https://www.sciencedaily.com/releases/2025/06/250625011632.htm</link>
			<description>Chalmers engineers built a pulse-driven qubit amplifier that’s ten times more efficient, stays cool, and safeguards quantum states—key for bigger, better quantum machines.</description>
			<pubDate>Wed, 25 Jun 2025 01:58:18 EDT</pubDate>
			<guid isPermaLink="true">https://www.sciencedaily.com/releases/2025/06/250625011632.htm</guid>
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			<title>Artificial intelligence isn’t hurting workers—It might be helping</title>
			<link>https://www.sciencedaily.com/releases/2025/06/250623072753.htm</link>
			<description>Despite widespread fears, early research suggests AI might actually be improving some aspects of work life. A major new study examining 20 years of worker data in Germany found no signs that AI exposure is hurting job satisfaction or mental health. In fact, there s evidence that it may be subtly improving physical health especially for workers without college degrees by reducing physically demanding tasks. However, researchers caution that it s still early days.</description>
			<pubDate>Mon, 23 Jun 2025 07:27:53 EDT</pubDate>
			<guid isPermaLink="true">https://www.sciencedaily.com/releases/2025/06/250623072753.htm</guid>
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			<title>Affordances in the brain: The human superpower AI hasn’t mastered</title>
			<link>https://www.sciencedaily.com/releases/2025/06/250622225921.htm</link>
			<description>Scientists at the University of Amsterdam discovered that our brains automatically understand how we can move through different environments—whether it&#039;s swimming in a lake or walking a path—without conscious thought. These &quot;action possibilities,&quot; or affordances, light up specific brain regions independently of what’s visually present. In contrast, AI models like ChatGPT still struggle with these intuitive judgments, missing the physical context that humans naturally grasp.</description>
			<pubDate>Sun, 22 Jun 2025 22:59:21 EDT</pubDate>
			<guid isPermaLink="true">https://www.sciencedaily.com/releases/2025/06/250622225921.htm</guid>
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			<title>Thinking AI models emit 50x more CO2—and often for nothing</title>
			<link>https://www.sciencedaily.com/releases/2025/06/250619035520.htm</link>
			<description>Every query typed into a large language model (LLM), such as ChatGPT, requires energy and produces CO2 emissions. Emissions, however, depend on the model, the subject matter, and the user. Researchers have now compared 14 models and found that complex answers cause more emissions than simple answers, and that models that provide more accurate answers produce more emissions. Users can, however, to an extent, control the amount of CO2 emissions caused by AI by adjusting their personal use of the technology, the researchers said.</description>
			<pubDate>Thu, 19 Jun 2025 03:55:20 EDT</pubDate>
			<guid isPermaLink="true">https://www.sciencedaily.com/releases/2025/06/250619035520.htm</guid>
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			<title>The AI that writes climate-friendly cement recipes in seconds</title>
			<link>https://www.sciencedaily.com/releases/2025/06/250619035502.htm</link>
			<description>AI researchers in Switzerland have found a way to dramatically cut cement s carbon footprint by redesigning its recipe. Their system simulates thousands of ingredient combinations, pinpointing those that keep cement strong while emitting far less CO2 all in seconds.</description>
			<pubDate>Thu, 19 Jun 2025 03:55:02 EDT</pubDate>
			<guid isPermaLink="true">https://www.sciencedaily.com/releases/2025/06/250619035502.htm</guid>
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			<title>Study deepens understanding of cell migration, important for potential medical advances</title>
			<link>https://www.sciencedaily.com/releases/2025/05/250528174928.htm</link>
			<description>A new study integrated mathematical modeling with advanced imaging to discover that the physical shape of the fruit fly egg chamber, combined with chemical signals, significantly influences how cells move. Cell migration is critical in wound healing, immune responses, and cancer metastasis, so the work has potential to advance a range of medical treatments.</description>
			<pubDate>Wed, 28 May 2025 17:49:28 EDT</pubDate>
			<guid isPermaLink="true">https://www.sciencedaily.com/releases/2025/05/250528174928.htm</guid>
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			<title>Five things to do in virtual reality -- and five to avoid</title>
			<link>https://www.sciencedaily.com/releases/2025/05/250528132509.htm</link>
			<description>A review of experimental research reveals how VR is best used and why it&#039;s struggled to become a megahit with consumers.</description>
			<pubDate>Wed, 28 May 2025 13:25:09 EDT</pubDate>
			<guid isPermaLink="true">https://www.sciencedaily.com/releases/2025/05/250528132509.htm</guid>
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			<title>AI meets game theory: How language models perform in human-like social scenarios</title>
			<link>https://www.sciencedaily.com/releases/2025/05/250528132456.htm</link>
			<description>Large language models (LLMs) -- the advanced AI behind tools like ChatGPT -- are increasingly integrated into daily life, assisting with tasks such as writing emails, answering questions, and even supporting healthcare decisions. But can these models collaborate with others in the same way humans do? Can they understand social situations, make compromises, or establish trust? A new study reveals that while today&#039;s AI is smart, it still has much to learn about social intelligence.</description>
			<pubDate>Wed, 28 May 2025 13:24:56 EDT</pubDate>
			<guid isPermaLink="true">https://www.sciencedaily.com/releases/2025/05/250528132456.htm</guid>
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			<title>In nature&#039;s math, freedoms are fundamental</title>
			<link>https://www.sciencedaily.com/releases/2025/05/250528132101.htm</link>
			<description>Scientists have developed a unified theory for mathematical parameters known as gauge freedoms. Their new formulas will allow researchers to interpret research results much faster and with greater confidence. The development could prove fundamental for future efforts in agriculture, drug discovery, and beyond.</description>
			<pubDate>Wed, 28 May 2025 13:21:01 EDT</pubDate>
			<guid isPermaLink="true">https://www.sciencedaily.com/releases/2025/05/250528132101.htm</guid>
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			<title>A faster, more reliable method for simulating the plasmas used to make computer chips</title>
			<link>https://www.sciencedaily.com/releases/2025/05/250522162711.htm</link>
			<description>Researchers developed a faster, more stable way to simulate the swirling electric fields inside industrial plasmas -- the kind used to make microchips and coat materials. The improved method could lead to better tools for chip manufacturing and fusion research.</description>
			<pubDate>Thu, 22 May 2025 16:27:11 EDT</pubDate>
			<guid isPermaLink="true">https://www.sciencedaily.com/releases/2025/05/250522162711.htm</guid>
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			<title>Breakthrough AI model could transform how we prepare for natural disasters</title>
			<link>https://www.sciencedaily.com/releases/2025/05/250522124851.htm</link>
			<description>From deadly floods in Europe to intensifying tropical cyclones around the world, the climate crisis has made timely and precise forecasting more essential than ever. Yet traditional forecasting methods rely on highly complex numerical models developed over decades, requiring powerful supercomputers and large teams of experts. According to its developers, Aurora offers a powerful and efficient alternative using artificial intelligence.</description>
			<pubDate>Thu, 22 May 2025 12:48:51 EDT</pubDate>
			<guid isPermaLink="true">https://www.sciencedaily.com/releases/2025/05/250522124851.htm</guid>
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			<title>AI is good at weather forecasting. Can it predict freak weather events?</title>
			<link>https://www.sciencedaily.com/releases/2025/05/250522124738.htm</link>
			<description>Scientists found that neural networks cannot yet forecast &#039;gray swan&#039; weather events, which might not appear in existing training data but could still happen -- like 200-year floods or massive hurricanes.</description>
			<pubDate>Thu, 22 May 2025 12:47:38 EDT</pubDate>
			<guid isPermaLink="true">https://www.sciencedaily.com/releases/2025/05/250522124738.htm</guid>
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			<title>MIT scientists develop tool that makes underwater scenes crystal clear</title>
			<link>https://www.sciencedaily.com/releases/2025/05/250521125256.htm</link>
			<description>MIT and WHOI scientists have unveiled SeaSplat, a system that makes underwater scenes look as if the ocean had been drained away. The tool cancels out water’s distortions and builds true-color 3D worlds that can be explored from any angle. This breakthrough could let marine biologists virtually “swim” through coral reefs to track bleaching and biodiversity with unprecedented clarity.</description>
			<pubDate>Wed, 21 May 2025 12:52:56 EDT</pubDate>
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