Neural Networks
PulseAugur coverage of Neural Networks — every cluster mentioning Neural Networks across labs, papers, and developer communities, ranked by signal.
5 day(s) with sentiment data
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Machine learning corrects indentation size effect in steels with small datasets
Researchers have developed a data-efficient method for correcting the indentation size effect (ISE) in steels using machine learning and physics-guided augmentation. By augmenting a dataset of approximately 700 experime…
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Quantum models enhance remote sensing classification by combining learned feature maps with classical methods
Researchers explored the use of variational quantum classifiers (VQCs) for land-cover classification using multispectral satellite imagery. Their study, focusing on the EuroSAT-MS dataset, found that VQCs with a linear …
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Researchers co-learn physics-informed AI models and controllers for energy-shaping systems
Researchers have developed a new physics-informed learning framework designed to improve energy-shaping control for port-Hamiltonian systems. This framework simultaneously learns a system model and an optimal energy-bal…
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New adaptive meta-learning SGHMC algorithm enhances Bayesian updating for structural models
Researchers have developed a new adaptive meta-learning stochastic gradient Hamiltonian Monte Carlo (AM-SGHMC) algorithm designed to improve Bayesian updating of structural dynamic models. This method utilizes adaptive …
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Research links neural networks, ODEs, and polynomial maps to primitive recursion
A new paper explores the computational capabilities of recurrent neural networks, polynomial ordinary differential equations (ODEs), and discrete polynomial maps. The research establishes equivalent characterizations fo…
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Researchers pinpoint origin of neural network 'Edge of Stability' phenomenon
Researchers have introduced a new concept called the 'edge coupling' to explain the phenomenon known as the Edge of Stability in neural network training. This functional, applied to consecutive iterate pairs, helps to e…
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Geoffrey Hinton said machine learning would outperform radiologists by now
Geoffrey Hinton's 2016 prediction that AI would surpass radiologists within five years has not materialized, according to a physician in residency. Despite significant advancements and numerous AI-enabled medical device…