International researchers develop NTAC, an AI that identifies neuronal types with 90% accuracy based purely on synaptic connectivity, outperforming traditional shape-based methods.

Recent technological advances facilitate the reconstruction of complete brain connectomes in small organisms and partial ...

The annotation, recruitment, grounding, display, and won gates determine which content AI engines trust and recommend. Here’s ...

Most of you have used a navigation app like Google Maps for your travels at some point. These apps rely on algorithms that ...

Abstract: Aim: This effort aims to determine the type of air pollution quality. Through a comparison study of the catboost Classifier procedure and the MLP classifier method, it has been found which ...

Abstract: Boosting and bagging are famous ensembles gaining knowledge of algorithms for photo classes. Each algorithm depends upon combining a couple of classifiers to enhance generalization accuracy, ...