Archived Intelligence
Researchers tested three deep learning architectures to identify malaria species in blood smears. This preliminary study shows high accuracy, suggesting AI could soon support clinics where human experts are scarce.
Early-stage research suggests that machine learning can accurately estimate the ecological impact of farming using limited data points. This breakthrough could allow for more efficient sustainability assessments across global food systems.
A preliminary study introduces a method to achieve optical superresolution using coherence de Broglie wavelengths. This approach aims to maintain high sensitivity in sensors without the fragility typically associated with quantum states.
A systematic review reveals that 3D CBCT scans provide a clearer map of dental anatomy than traditional X-rays. By identifying hidden fractures and complex canals, clinicians can better predict whether a root canal will fail or flourish.
Researchers have mapped how single metal atoms behave on graphene surfaces under realistic liquid conditions. The study identifies which atomic configurations endure and which dissolve, providing a blueprint for durable green energy components.
Antibiotics leaking into soil and water are creating training camps for superbugs. These low-level exposures do not kill bacteria but instead help them evolve resistance that threatens global health.
Scientists have engineered a pseudo-single-crystal catalyst that slashes the cost of hydrogen energy storage. By combining platinum and palladium in a porous structure, researchers achieved seven times the efficiency of standard materials.
Scientists have modelled a new 2D material that combines topological protection with potential superconductivity. Monolayer In2O provides a unique environment where electrons flow along mathematically protected edges without scattering.