A new data-driven approach to forecast rutting depth in asphalt pavements.
― 6 min read
Computer Science - Neural and Evolutionary Computing
RSSLatest Articles
Latest Articles
A look at how GKLS helps evaluate optimization methods effectively.
― 5 min read
A new approach uses MRI scans and machine learning to identify Alzheimer's effectively.
― 6 min read
A method to improve neural network interpretability and performance inspired by the human brain.
― 6 min read
CHNNet offers faster learning and improved performance in neural networks.
― 5 min read
Combining traditional methods and machine learning to improve urban transit networks.
― 5 min read
LavaBO offers efficient solutions for complex optimization problems using neuromorphic computing.
― 5 min read
SPENSER automates the creation of Spiking Neural Networks for improved image classification.
― 5 min read
Enhancing Sparse Neural Networks through optimized activation functions and hyperparameters.
― 5 min read
A novel approach to optimization using principles of perfectionism.
― 6 min read
GELU offers advantages over traditional activation functions in neural networks.
― 6 min read
Improving artificial memory systems through new Hopfield networks inspired by biology.
― 4 min read
Grad-Align+ improves network alignment without needing extra information.
― 6 min read
Exploring how NCAs grow and adapt using internal and external signals.
― 5 min read
Introducing the Integrated Forward-Forward Algorithm for improved neural network training.
― 5 min read
This research examines how compositionality affects imitation in artificial language systems.
― 6 min read
A new system uses brain models to help robots move in unknown spaces.
― 6 min read
PAO makes optimisation easier to use and understand.
― 5 min read
Comparing human problem-solving abilities with neuromorphic and traditional computers.
― 5 min read
New method improves image generation by adapting prompts for better user satisfaction.
― 5 min read
Exploring the role of niche construction in evolutionary processes.
― 6 min read
Explore how viewing neural networks as utility functions changes our understanding of their performance.
― 7 min read
Combining active learning and physical constraints improves symbolic regression results.
― 5 min read
CVGP aids researchers in uncovering complex relationships through adaptive experiments.
― 6 min read
AD-NEv framework enhances anomaly detection through innovative approaches.
― 5 min read
This research proposes optimizing individual neurons for enhanced AI performance.
― 6 min read
New method improves Bayesian inference, tackling challenges of complex data.
― 5 min read
A new model enhances understanding of belief systems in human cognition.
― 5 min read
Examining the Forward-Forward algorithm and its potential to mimic biological learning.
― 8 min read
EfficientLIF-Net reduces memory costs in SNNs while maintaining performance.
― 5 min read
Learn how DT-SNN improves efficiency in neural networks.
― 5 min read
Researchers use brain data to enhance AI learning and adaptability.
― 6 min read
Explore NE-MOEA, a non-elitist method for solving multi-objective problems efficiently.
― 5 min read
A new method predicts neural network performance using only weight parameters.
― 6 min read
Exploring methods to enhance artificial intelligence using brain-inspired approaches.
― 6 min read
Combining graph rewriting with GNNs for dynamic data analysis.
― 6 min read
New neural networks learn transformations directly from data, improving efficiency and understanding of symmetries.
― 7 min read
A novel method for training neural networks that combines classification and reconstruction.
― 5 min read
A look at how evolutionary algorithms perform when faced with various constraints.
― 6 min read
A study on how cell-like creatures evolve through natural selection in a virtual environment.
― 6 min read
A new framework enhances the detection of cyber attack paths.
― 6 min read