A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...
Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty.
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Heroin addiction linked to a "locally hyperactive but globally disconnected" brain state during creative tasks
A new study published in Translational Psychiatry provides evidence that chronic heroin addiction impairs the neural networks ...
CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...
In this tutorial, we explore the design and implementation of an Advanced Neural Agent that combines classical neural network techniques with modern stability improvements. We build the network using ...
Computer Science and Engineering Ph.D. student Nayan Bhatia demonstrates Pulse-Fi, technology that uses WiFi signals to measure a person's heart rate. Heart rate is one of the most basic and important ...
Abstract: This article proposes a robust controller based on fixed-time sliding mode control (FxTSMC) and a neural network to improve the speed tracking control performance of a permanent magnet ...
From a neuroscience perspective, artificial neural networks are regarded as abstract models of biological neurons, yet they rely on biologically implausible backpropagation for training. Energy-based ...
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