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All-topographic neural networks more closely mimic the human visual system
Deep learning models, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs) are designed to partly emulate the functioning and structure of biological neural networks. As a ...
Artificial neural networks reveal how peripersonal neurons represent the space around the body
The brains of humans and other primates are known to execute various sophisticated functions, one of which is the ...
Tech Xplore on MSN2d
Bilinear sequence regression model shows why AI excels at learning from word sequences
Researchers at EPFL have created a mathematical model that helps explain how breaking language into sequences makes modern AI ...
Frontiers5d
Distributed quantile regression over sensor networks via the primal–dual hybrid gradient algorithm
QR offers several advantages over standard linear regression due to its focus on estimating conditional quantiles rather than the conditional mean of the response variable. This paper investigates QR ...