Google Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language ...
Bobby Hughes, left, and Michael Hewitt examine a plastic tray in which they have placed aquatic insects collected from a nearby stream. The duo from the nonprofit Eastern Pennsylvania Coalition for ...
ABSTRACT: Pregnancy presents a unique clinical scenario where the safety of pharmacological interventions is of paramount importance. The potential teratogenic risks associated with drug intake during ...
This thesis focuses on leveraging Image Processing, Computer Vision, Machine Learning, and Deep Learning, particularly the Vision Transformer (ViT) model, for early identification of Alzheimer’s ...
Abstract: Increasingly available ultrastructural data from a continuously growing diversity of experimental conditions are driving new opportunities for fruitful neuroscientific hypotheses tested in ...
The tremendous growth of deep learning models, especially the success of generative AI and foundation models, has led to their deployment in several critical sectors, including biometric recognition, ...
This image is part of a weekly series that The Root is presenting in conjunction with the Image of the Black Archive & Library at Harvard University’s Hutchins Center for African and African American ...
Abstract: The individualization of an object from a digital image is a common problem in the field of image processing. We propose a modified version of the watershed algorithm for image segmentation.
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