Archived Intelligence
A new analysis attempts to measure the universe's expansion history using only late-time data, stripping away standard theoretical assumptions. The findings suggest that the discrepancy in cosmic measurements stems from a lack of direct observations in the deep past, rather than a fundamental break in physics.
Researchers have developed a SnNb2O6-based component that replicates the 'leaky' firing patterns of biological neurons. By processing EEG data through this hardware-mimic, the system identified epileptic states with remarkable accuracy, suggesting a new path for on-chip diagnostics.
Huntington's disease has long been considered a condition of aging, but new evidence points to flaws in early brain development. By reviewing various mouse models, researchers suggest that the brain is miswired from the start, priming it for later collapse.
A perspective review tracing the evolution of materials science from manual trial-and-error to AI-driven automation. It highlights the integration of Large Language Models and the shift towards autonomous, self-driving laboratories.
To make hydrogen fuel affordable, scientists are looking to replace expensive platinum catalysts with abundant nickel. A new review analyses how to optimise nickel to function efficiently within alkaline electrolysis systems.
Lions influence subordinate predators, but environmental richness dictates the intensity of this pressure. Data confirms that while habitat needs drive initial placement, high resource availability allows smaller predators to actively avoid lions.
New multi-wavelength observations of galaxy VV 340a reveal that supermassive black hole jets precess, spraying energy in wide arcs. This mechanism drives massive gas outflows that regulate star formation, offering critical data to correct cosmological simulations.
A validation study involving 50 subjects asserts that explainable deep learning can identify pain states with 95.85% accuracy, significantly outperforming traditional classifiers. By analysing frequency bands through a Convolutional Neural Network, the research offers a potential route for objective monitoring in non-verbal patients.
A comparative study identifies Nannochloropsis oceanica as a superior candidate for processing industrial-grade CO2. The alga not only survives high carbon concentrations but converts them into valuable lipids through enhanced enzymatic activity.
A new review explores how patient-specific bioprinting and organ-on-chip technologies are replacing static lab tests, offering a dynamic way to predict how tumours spread and resist treatment.
A recent comparative study reveals that small, specialised language models can match the accuracy of ChatGPT-4.0 when answering glaucoma questions. While both models struggled with readability, the findings suggest that privacy-focused, local AI may be the superior clinical choice.
Researchers have developed a geometry-aware AI framework that maps earthquake data onto a Poincaré ball manifold to better predict ground motion. This approach captures the hierarchical nature of seismic events, offering a significant leap in accuracy for risk assessment pipelines.