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17-year-old builds AI tool to speed malaria and blood-disease diagnosis

Somewhere, a 17-year-old has built an artificial intelligence tool designed to identify malaria and other blood diseases from ...
IEEE

Classification of Cognitive Load Using Deep Learning Based on Eye Movement Indices

Abstract: The classification of cognitive load is crucial to evaluate mental effort in various tasks. Compared to physiological measures such as electroencephalography (EEG), electrocardiography (ECG) ...
eLife

New idtracker.ai rethinks multi-animal tracking as a representation learning problem to increase accuracy and reduce tracking time

Identification of each animal in a collective becomes possible even when individuals are never all visible simultaneously, enabling faster and more accurate analysis of collective behavior.
IEEE

Semantic Image Clustering with Deep Learning

Abstract: Image clustering is a crucial but open and challenging task in machine learning and computer vision. Deep image clustering methods have made significant advancements in largescale and ...