Examining how brain learning principles can enhance machine learning algorithms.
― 6 min read
Computer Science - Neural and Evolutionary Computing
RSSExploring efficient models for similarity matching in machine learning.
― 5 min read
Exploring the potential and challenges of optical neural networks using light for computation.
― 8 min read
A groundbreaking approach to training neural networks without gradients.
― 5 min read
Discover EDOLAB, a platform for tackling changing optimization problems.
― 4 min read
Optical computing uses light to offer faster processing and energy efficiency.
― 5 min read
A new method enhances multiclass classification performance using ECOC with NEAT.
― 5 min read
New methods optimize deep neural networks for better real-world performance.
― 5 min read
A new method improves efficiency by converting PINNs to SNNs for scientific applications.
― 5 min read
SPAIC transforms analog signals into spike signals for enhanced edge computing.
― 5 min read
A look at discrete neural networks and their unique training methods.
― 4 min read
A new model improves coronary artery disease risk evaluation and treatment suggestions.
― 3 min read
A new framework aims to enhance the accuracy of computation time estimates in evolutionary algorithms.
― 5 min read
This study presents a new model for memory encoding in neural networks.
― 7 min read
New algorithms enhance memory retrieval in Hopfield networks for better performance.
― 6 min read
New strategies enhance neural networks' learning in real-world conditions.
― 6 min read
This article explores GANs for creating stable Angry Birds structures.
― 6 min read
Neural ODEs merge neural networks with dynamic systems for advanced learning.
― 6 min read
This paper discusses methods for fitness approximation in genetic algorithms using machine learning.
― 7 min read
Exploring the potential and challenges of Optical Neural Networks in computing.
― 6 min read
A new method enhances job scheduling efficiency using deep reinforcement learning techniques.
― 6 min read
Exploring the relational bottleneck and its role in understanding abstract concepts.
― 8 min read
Learn how data arrangements impact performance and the role of evolutionary algorithms.
― 6 min read
Racing-CVGP enhances symbolic regression efficiency in discovering mathematical equations.
― 6 min read
V-nets offer a new perspective on deep learning efficiency and performance.
― 5 min read
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