Sentences with phrase «as artificial neural networks»

Specifically, we used a variety of linear and nonlinear methods such as artificial neural networks (ANN), decision trees and ensembles, multiple linear regression, and k - nearest neighbors to generate present and future daily precipitation occurrences and amounts.
Researchers from the University of Wyoming and INRIA (France) led by Henok S. Mengistu simulated the evolution of computational brain models, known as artificial neural networks, both with and without a cost for network connections.

Not exact matches

It is one of the more eclectic of the psychological disciplines, overlapping at times with areas such as neuroscience, philosophy (particularly philosophy of mind), neurology, psychiatry and computer science (particularly by making use of artificial neural networks).
But now Koch - Janusz and Ringel demonstrate a machine - learning algorithm based on an artificial neural network that is capable of doing just that, as they report in the journal Nature Physics.
The artificial neural networks serve as «mini-brains that can be studied, changed, evaluated, compared against responses given by human neural networks, so the cognitive neuroscientists have some sort of sketch of how a real brain may function.»
«Neural network models are brain - inspired models that are now state - of - the - art in many artificial intelligence applications, such as computer vision.»
Researchers from the Department of Energy's SLAC National Accelerator Laboratory and Stanford University have for the first time shown that neural networks — a form of artificial intelligence — can accurately analyze the complex distortions in spacetime known as gravitational lenses 10 million times faster than traditional methods.
The thin - film transistor (TFT) has been designed to replicate the junction between two neurons, known as a biological synapse, and could become a key component in the development of artificial neural networks, which could be utilised in a range of fields from robotics to computer processing.
As Manel del Valle, the main author of the study, explains: «The concept of the electronic tongue consists in using a generic array of sensors, in other words with generic response to the various chemical compounds involved, which generate a varied spectrum of information with advanced tools for processing, pattern recognition and even artificial neural networks
Stone wants the DTI and SERC to fund and coordinate research, as they do for artificial intelligence and neural networks.
Just as various areas of nerve cells, the neurons, cooperate in our brain, mathematical units work together in the artificial neural network.
As Manel del Valle, the main author of the study, explains to SINC: «The concept of the electronic tongue consists in using a generic array of sensors, in other words with generic response to the various chemical compounds involved, which generate a varied spectrum of information with advanced tools for processing, pattern recognition and even artificial neural networks
Concretely, based on basic research on nanoscale materials, such as atomic and molecular transport and chemical reaction processes, polarization and excitation of charge and spin and superconducting phenomena, we are conducting research on atomic switches, artificial synapses, molecular devices, new quantum bits, neural network - type network circuits, next - generation devices, high sensitivity integrated molecular sensors and other new applied technologies.
For example, while some are still asking whether or not gamification actually works, a combination of deep learning and artificial neural networks will be able to correctly administer it as a technique where it does.
Computer scientists show that artificial neural networks can create their own «Inceptionist» artwork, a style described as reminiscent of «William Blake on opium.»
This is why new artificial intelligence training methods, such as deep learning and neural networks, are so exciting, these models are able to learn in a non-static fluent way, rather than the hard - coded ways legacy legal research tools have offered to date.
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