May 8, 2024, 4:46 a.m. | Andrea Barucci, Giulia Ciacci, Pietro Li\`o, Tiago Azevedo, Andrea Di Cencio, Marco Merella, Giovanni Bianucci, Giulia Bosio, Simone Casati, Alberto C

cs.CV updates on arXiv.org arxiv.org

arXiv:2405.04189v1 Announce Type: new
Abstract: All fields of knowledge are being impacted by Artificial Intelligence. In particular, the Deep Learning paradigm enables the development of data analysis tools that support subject matter experts in a variety of sectors, from physics up to the recognition of ancient languages. Palaeontology is now observing this trend as well. This study explores the capability of Convolutional Neural Networks (CNNs), a particular class of Deep Learning algorithms specifically crafted for computer vision tasks, to classify …

abstract analysis analysis tools artificial artificial intelligence arxiv convolutional convolutional neural networks cs.cv data data analysis deep learning development experts fields identification intelligence knowledge languages matter networks neural networks paradigm physics recognition support tools type

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