Exploring the potential and challenges of Optical Neural Networks in computing.
― 6 min read
Computer Science - Neural and Evolutionary Computing
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This article examines the link between deep learning and renormalization group methods using the Ising model.
― 7 min read
A study on parallelizing neural networks using the Go programming language.
― 5 min read
Astrocytes enhance the performance and fault tolerance of Spiking Neural Networks.
― 6 min read
Exploring how robot swarms navigate obstacles in unpredictable environments.
― 7 min read
Research delves into how AI interprets fairness and morality in language.
― 5 min read
This study automates the classification of scientific texts with the right ontologies.
― 6 min read
A new approach to optimize deep neural networks on resource-limited devices.
― 7 min read
A new model enhances predictions for magnetic hysteresis in materials.
― 5 min read
A new method enhances feature selection by modifying shadow features with noise.
― 7 min read
A new approach using community assembly graphs to study lexicase selection in genetic programming.
― 6 min read
A new approach enhances deep learning models for efficient use in wearable tech.
― 5 min read
Hyperbolic neural networks enhance tree structure representation in data science.
― 6 min read
dNEAT offers a new way to model complex systems effectively.
― 5 min read
New methods integrate unevaluated solutions in optimization algorithms for better efficiency.
― 6 min read
This article explains using neural networks for scene recognition in films and shows.
― 6 min read
A novel model mimics brain processes to enhance image analysis.
― 5 min read
This study improves RF biosensor sensitivity using advanced optimization techniques.
― 4 min read
Point Cloud Networks reduce parameters while maintaining performance in deep learning tasks.
― 6 min read
ThinResNet establishes reliable benchmarks for comparing pruning methods in neural networks.
― 6 min read
Automating RNN design enhances modeling for dynamic systems.
― 7 min read
A new method corrects machine learning predictions in engineering applications.
― 7 min read
Exploring how robot design influences movement and task learning.
― 5 min read
SAM improves neural network training by focusing on parameter stability.
― 5 min read
Exploring how machine learning enhances model-predictive control for better system performance.
― 5 min read
Advanced technologies are enhancing temperature predictions in reheating furnaces for better efficiency.
― 6 min read
PyVRP offers efficient solutions for complex vehicle routing challenges.
― 6 min read
A look at improving machine learning through representation learning techniques.
― 6 min read
A method that mimics human learning for better machine adaptability.
― 6 min read
A novel approach merges two methods for better problem-solving.
― 7 min read
A novel approach merges state space models with spiking neural networks for better data handling.
― 6 min read
Learn how bio-inspired methods enhance the prediction of chronic diseases.
― 6 min read
A look into various methods for finding multiple good solutions.
― 6 min read
DPCNNs improve image recognition through brain-like processing methods.
― 6 min read
Exploring the potential of SNNs in edge computing applications.
― 5 min read
Introducing DREA, a new algorithm for finding reliable solutions in optimization.
― 6 min read
Exploring the role of hypercomplex-valued neural networks in modern applications.
― 5 min read
t-DGR offers a new approach to continual learning, improving task retention and performance.
― 6 min read
A new framework enhances SNNs for better efficiency and performance.
― 5 min read
A look at Brain-Inspired Modular Training for better AI model clarity.
― 8 min read
Combining expert feedback with algorithms for better software architecture choices.
― 6 min read