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    UK police find explosives near airbase used for Iran attacks●BREAKING: UK police find EXPLOSIVES less than 1 mile from airbase used for attacks on Iran Several men have been arreste𝕏xGBWarTerrorism6073 d ago

    UK police arrested several men in Gloucestershire on suspicion of explosives offences, after explosive material was found less than a mile from an airbase used for attacks on Iran. Army bomb-disposal specialists were deployed and homes in the village of Whelford were evacuated as the investigation continues.

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    Basecamp Research raises $140M to map biodiversity with AI▼UK-based Basecamp Research raised $140M to map global biodiversity for drug discovery. By training AI on genetic data frMmastodonBusiness72 d ago

    UK-based Basecamp Research has raised $140 million to map global biodiversity for drug discovery. The company trains AI on genetic data from unexplored organisms to help design new therapies. Commenters note that scaling the work will depend on proving safety in human trials and ensuring fair benefit-sharing with the countries and communities where genetic material originates.

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    AI is transforming materials discovery and disease diagnosis●AI is changing how scientists discover materials and diagnose diseases✉newsSciencePhysics3 d ago

    Scientists are increasingly using artificial intelligence to speed up the discovery of new materials and to improve medical diagnosis. The approach is reshaping research in physics, chemistry and medicine, with AI tools helping researchers identify promising compounds and detect diseases earlier and more accurately than traditional methods.

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    UCF Researcher Finds Evidence of New Type of Magnetism▼University of Central Florida researcher discovers experimental evidence of new type of magnetism✉newsSciencePhysics2 d ago

    A researcher at the University of Central Florida reports experimental evidence of a new type of magnetism, according to a news release. The discovery could expand scientific understanding of magnetic materials beyond known categories such as ferromagnetism and antiferromagnetism. Details of the underlying mechanism and potential technological applications have not been widely reported yet.

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    AI-Designed Alloys Usher in a New Era of Metallurgy▼Metallurgy Enters a New Era as AI-Designed Alloys Redefine the Science of Metals✉newsScience4 d ago

    Reports say artificial intelligence is now being used to design new metal alloys, accelerating the discovery of materials with tailored properties and reshaping metallurgy as a discipline. Commenters and science outlets are framing the development as a turning point for how metals are engineered, with AI replacing much of the traditional trial-and-error experimentation.

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    Jumping human gene discovered inside a virus●A human gene that can jump has been found inside a virus✉newsScienceBiology4 d ago

    Researchers report the discovery of a human 'jumping gene' — a transposable element able to move around the genome — found embedded inside a virus. The finding suggests genetic material can move between humans and viruses, shedding light on how genomes evolve and how viruses may acquire host genes. Scientists say it could inform understanding of gene transfer and viral evolution.

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    New Materials Force Chaotic Waves Into Order, Scientists Say▼Scientists Just Discovered Strange New Materials That Force Chaotic Waves Into Order✉newsSciencePhysics2 d ago

    Scientists report the discovery of unusual new materials that can turn chaotic wave behavior into ordered patterns. According to the report, these materials impose order on wave systems that would normally behave unpredictably. The finding is drawing attention in physics circles for its potential implications, though details about how the materials work and what practical uses they may have remain limited in the initial coverage.

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    Tohoku University Develops Physics-Grounded AI for Materials Discovery▼Research News - Physics-Grounded Materials AI for Reliable Materials Discovery✉newsSciencePhysics1 d ago

    Tohoku University announced research on an AI model for materials discovery that is grounded in physics rather than relying purely on data patterns. The approach aims to make predictions of new materials more reliable and reproducible, addressing a common weakness of purely statistical machine learning in chemistry and materials science. The university released the work through its research news service.

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    Sheeppox DNA found hidden in medieval gospel parchments●Ancient virus hunters: how we discovered sheeppox DNA hidden in medieval gospels by Kevin Daly DNA can survive in parchmMmastodonCultureBooks142 d ago

    Researchers report discovering sheeppox viral DNA preserved in the parchment of medieval gospel manuscripts, showing that DNA can survive in animal-skin writing material for well over a thousand years. The finding highlights how ancient manuscripts can serve as archives of long-lost pathogens, offering virologists and historians a new window into the diseases circulating among medieval livestock and the people who handled them.

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    Hôpital-Camfrout is a small commune in the Finistère department of Brittany, France, near Brest. It is topping French search queries with an estimated 500-plus searches, but the evidence collected does not show why. The only post in the sample refers to an unrelated discovery of two bodies at a campsite near Tours, so no link to the village can be confirmed from the available material. Local news from the area is the most plausible driver, but the exact event is unclear.

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    Physics-grounded AI framework aims to make material predictions testable▼Physics-grounded AI framework aims to make predictions about new materials more testable✉newsSciencePhysics13 h ago

    Researchers have introduced a physics-grounded AI framework designed to make predictions about new materials more testable, according to Phys.org. The approach is intended to anchor machine-learning forecasts in physical principles so that scientists can verify them against real experiments rather than treating model outputs as black boxes, a persistent problem in AI-driven materials discovery.

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    No explosives in airbase vans, police find petrol●BREAKING - UK police say no explosives found in suspect airbase vans, but 'quantity of petrol' recovered https:// bit.ly𝕏xGB1371 d ago

    UK police investigating suspect vans at an airbase say no explosives were found, but a quantity of petrol was recovered. The discovery of fuel rather than explosive material has raised questions about the intent behind the vehicles, with news of the development spreading quickly as the investigation continues.

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    Physics-Grounded AI Promises More Reliable Materials Discovery▼Physics-grounded materials AI for reliable materials discovery✉newsSciencePhysics7 h ago

    Researchers are promoting a physics-grounded approach to artificial intelligence for materials discovery, arguing that embedding physical laws into AI models makes predictions far more reliable than purely data-driven methods. The work, highlighted in science news releases, targets faster and more trustworthy identification of new materials for technology and industry.

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    MIT AI builds its own physics simulator to redesign graphene▼An MIT AI built its own physics simulator and used it to redesign graphene✉newsSciencePhysics14 h ago

    Researchers at MIT report that an artificial intelligence system constructed its own physics simulator and applied it to redesign graphene, the one-atom-thick carbon material prized for its strength and conductivity. The result suggests AI can go beyond analysis to invent new tools for scientific simulation, a step with potential implications for materials science and engineering.

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    Researchers have introduced a physics-grounded AI framework aimed at making materials discovery more reliable. By embedding physical laws into the machine learning process, the approach is intended to reduce errors and improve the trustworthiness of predictions compared with purely data-driven models. Details about the team behind the work, the materials studied, and validation results were not provided.

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    A research figure labelled Figure 1 has been circulated through EurekAlert!, the science news release service. The evidence available consists only of the image caption, with no details on the study, authors, or findings. Readers appear to be encountering the item as part of general science news coverage, but no specific claim or discovery can be confirmed from the material provided.

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    How Lovevery Links Parenting Content to Product Discovery▼How Lovevery Connected Parenting Content With Product Discovery✉newsLifeParenting1 d ago

    Lovevery, the early-childhood play kit company, is being highlighted for tying its parenting-focused content directly to how parents discover and buy its products. The piece examines how educational material for new parents doubles as a product discovery channel, a strategy other consumer brands in the parenting space are watching closely.

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    U of T physicists identify octupolar magnetism▼U of T physicists identify ‘octupolar’ magnetism, with implications for quantum technologies✉newsSciencePhysics1 d ago

    Physicists at the University of Toronto report the identification of octupolar magnetism, a newly characterized form of magnetic order in which higher-rank moments align in materials. The team says the discovery could inform the development of quantum technologies, where exotic magnetic states are of interest for future computing and sensing applications. The finding adds to growing research into magnetism beyond conventional dipole-based models.

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    Physics-Grounded AI Speeds Up Materials Discovery▼Physics-Grounded AI Advances Materials Discovery✉newsSciencePhysics1 d ago

    A new report highlights how artificial intelligence models built on physics principles are accelerating the discovery of new materials. By incorporating physical laws into AI systems, researchers can predict material properties more reliably than with data-driven approaches alone, reducing the need for costly lab experiments. The development is being watched as a step toward faster innovation in energy, electronics and manufacturing.

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    What Problems Has AI Actually Solved?●What Has AI Actually Solved? The Biggest Problems Where Machines Found Real Answers Exploring the biggest problems whereMmastodonTechnologyAI11 d ago

    A new visualization highlights the concrete breakthroughs where artificial intelligence has delivered real answers, focusing on protein folding, antibiotic discovery, and materials science. The piece is prompting discussion about which scientific problems machines have genuinely cracked, rather than the usual hype, and where AI's practical impact on research has so far been limited.

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    Toronto Physicists Report Discovery of Octupolar Magnetism●Toronto Physicists Discover Octupolar Magnetism, With Quantum Tech Implications✉newsSciencePhysics1 d ago

    Physicists in Toronto have announced the discovery of octupolar magnetism, a previously unobserved form of magnetic order. The finding expands understanding of magnetic materials and could inform the development of future quantum technologies, according to reports covering the research. Details on the specific material and experimental method remain limited in early coverage.