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By squeezing reactions inside tiny crystal pores and flooding them with carbon monoxide, researchers coaxed solid zeolite catalysts to build primary and secondary carboxylic acids.
A computer vision model achieved a 72.7% success rate when detecting and counting surgical tools in simulated operation videos. While promising for patient safety, it struggled to spot tiny items like needles.
A computer model trained on brain electrical signals identified depression with over 94% accuracy on a benchmark dataset by learning the complex, curved shapes of neural rhythms.
Broad ocean surveys can hide local sea-life loss, according to past records from the Northeast Atlantic. When a team tested small grid cells rather than whole zones, apparent safety gave way to sharp drops.
A systematic review of 50 studies found that AI cameras and smart sensors effectively spot and monitor rubbish. However, most systems have only been tested in small, pilot-scale trials.
A smart pipeline cleans curvy Tamil strokes to recognise handwriting with over 98% accuracy before translating words into other languages.
A review shows how machine learning mimics slow quantum physics to model larger battery parts without losing fine detail.
Machine-learning models and frozen tests reveal that lithium ions cluster together rather than travelling as lone particles in battery liquids.
Engineers built an artificial stochastic spiking neuron from 2D crystals that retains a brief memory of previous firing events, helping neural networks filter out heavy background noise.
A systematic review examined how machine learning can recover scenes and identify people from tiny reflections on the surface of human eyes.