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Berkeley political scientist Ann Keller, who studies the politics of public health.
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The case is City of Ann Arbor Employees' Retirement System et al.
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Maev-Ann Wren, author of a new book on the health system, investigates.
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She had been working at St Ann's hospital since January last year.
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So we recently asked Ann to share his secrets for Kickstarter success.
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SNN was born in the Eastern Cape town of Bizana, in 1996.
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Results: One hundred percent of the SNs were identified with our SNNS method.
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Four peptides constituting the model were selected by supervised neural network algorithm (SNN).
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In addition, the impact of device variations on the performance of the on-chip training SNN system is evaluated.
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To train SNNs with supervision, we propose an efficient on-chip training scheme approximating backpropagation algorithm suitable for hardware implementation.
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The AI startups Intel acquired created chips to accelerate artificialneuralnetworks.
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This process is similar to how human-made artificialneuralnetworks on computers work.
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The original design had two separate learning modules, built with technology known as artificialneuralnetworks.
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Current artificial language processing systems rely on the same domain general principles, embodied in artificialneuralnetworks.
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Google is now using artificialneuralnetworks to analyze the way its data centers behave, and then hone them accordingly.
Usage of artificial neural network in English
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The candidate events are classified as signal-like or backgroundlike by an artificialneuralnetwork.
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Gmail has rolled out some improvements to tackle this using an artificialneuralnetwork.
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That's because an artificialneuralnetwork created by research scientist Janelle Shane came up with it.
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The cerebrospinal protein profiles were obtained and analyzed using the artificialneuralnetwork (ANN) method.
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This study is based on gamma-ray pulse height distribution pattern recognition by means of an artificialneuralnetwork.
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You don't think it's just the synaptic weights, like an artificialneuralnetwork that's trained to do particular things?
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Hardware implementation of an artificialneuralnetwork requires neuromorphic devices to process information with low energy consumption and high heterogeneity.
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Google Research has been working on automatic object recognition by training an artificialneuralnetwork with millions of digital images.
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The approach is based on pulse height distribution pattern recognition by means of an artificialneuralnetwork (ANN).
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A multi-layer feed forward artificialneuralnetwork (ML-FFNN) was used to classify the input space into 26 different classes.
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We sought to identify critical variables through logistic regression, artificialneuralnetwork, and naïve Bayes classifier models to predict missed appointments.
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An artificialneuralnetwork based approach using atomic fragmental descriptors has been developed to categorize compounds according to their in vitro human cytotoxicity.
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Using a parameter decreasing method, the total number of SNP inputs used to construct artificialneuralnetwork (ANN) models was reduced.
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All these kinds of simulations are trivial and have been around for decades -simply called artificialneuralnetwork (ANN) simulations.
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Here we tested an innovative approach based on an artificialneuralnetwork (ANN) classifier from the same database of rsEEG markers.
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The simulation data was used to train the artificialneuralnetwork which predicted the stability of honey crystallization depending on Fructose:Glucose and Glucose:Water ratios.