Study reveals energy-efficient human activity recognition using spiking neural networks in wearables.
― 5 min read
Computer Science - Neural and Evolutionary Computing
RSSA new ConvNet design enhances flexibility and adaptability through continuous symmetry.
― 5 min read
A framework to enhance machine learning predictions with clarity and trust.
― 8 min read
This article examines how neuroevolution improves vehicle trajectory prediction through multi-objective optimization.
― 8 min read
A new method blends logical programming with probabilistic models to improve decision-making.
― 5 min read
A new layer enhances DNNs' resistance to subtle input changes.
― 6 min read
Researchers enhance computer models of the immune system through weighted finite state machines.
― 8 min read
Study highlights methods to improve reservoir computing performance in complex predictions.
― 5 min read
New designs improve efficiency and energy use in neuromorphic processors.
― 5 min read
Discover the impact of Piecewise Linear Activations on deep learning models.
― 5 min read
Researchers use deep learning to improve turbulence models in fluid dynamics.
― 6 min read
A framework that enhances algorithm performance comparison through visual insights.
― 6 min read
Combining DNNs and SNNs with homomorphic encryption to ensure data privacy.
― 5 min read
FeatGeNN innovates feature generation, enhancing machine learning model performance.
― 6 min read
Exploring the potential of Natural Evolution Strategies in variational inference models.
― 5 min read
Introducing reversible SNN nodes for efficient training and memory use.
― 6 min read
A new model integrates U-Net and Spiking Neural Networks for efficient image tasks.
― 6 min read
SpikingBERT combines spiking neural networks with language tasks for better energy efficiency.
― 4 min read
Research on reservoir computing focuses on optimizing network designs for improved machine learning.
― 5 min read
ReLiCA algorithm simplifies model creation using Cellular Automata rules and effective settings.
― 5 min read
Examining how brain learning principles can enhance machine learning algorithms.
― 6 min read
Exploring 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