Computer Science - Neural and Evolutionary Computing

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Machine Learning Predictive Coding: A New Approach to Learning in Neural Networks

Exploring the impact of predictive coding on neural network learning methods.

Francesco Innocenti, El Mehdi Achour, Ryan Singh

2025-06-16T11:00:36+00:00 ― 6 min read

Latest Articles

Machine Learning Neural Spacetimes: A New Approach to Directed Graphs

Neural Spacetimes offer innovative representations for analyzing directed graphs in various fields.

Haitz Sáez de Ocáriz Borde, Anastasis Kratsios, Marc T. Law

2025-06-14T23:07:44+00:00 ― 5 min read

Machine Learning Y-Drop: A Smarter Approach to Neural Network Regularization

Y-Drop improves dropout by focusing on neuron importance, enhancing model performance.

Efthymios Georgiou, Georgios Paraskevopoulos, Alexandros Potamianos

2025-06-14T01:05:06+00:00 ― 5 min read

Machine Learning Improving Neural Networks with Diophantine Equations

This article explores a new approach to enhance neural networks using Diophantine equations.

Ronald Katende

2025-06-13T17:34:48+00:00 ― 5 min read

Neural and Evolutionary Computing Olive Ridley Survival Algorithm: Nature-Inspired Optimization

New optimization method inspired by Olive Ridley turtle hatchlings aims for effective problem-solving.

Niranjan Panigrahi, Sourav Kumar Bhoi, Debasis Mohapatra

2025-06-12T17:13:18+00:00 ― 6 min read

Machine Learning New Method for Counterfactual Explanations in Time-Series Data

A fresh approach to generating meaningful explanations for time-series data analysis.

Qi Huang, Sofoklis Kitharidis, Thomas Bäck

2025-06-12T02:04:48+00:00 ― 6 min read

Machine Learning Advancements in Symbolic Regression with Language Models

A new method enhances symbolic regression using language models for better data analysis.

Arya Grayeli, Atharva Sehgal, Omar Costilla-Reyes

2025-06-12T00:30:00+00:00 ― 6 min read

Machine Learning COSCO: A New Approach to Few-Shot Learning in Time Series Classification

Introducing COSCO, a framework enhancing classification accuracy with limited data.

Jesus Barreda, Ashley Gomez, Ruben Puga

2025-06-11T16:59:42+00:00 ― 5 min read

Machine Learning Introducing the Kolmogorov-Arnold Transformer Model

KAT improves deep learning by using advanced KANs to replace MLPs.

Xingyi Yang, Xinchao Wang

2025-06-11T11:04:12+00:00 ― 5 min read

Machine Learning Comparing Learning Methods with Delayed Labels in Fraud Detection

A study on instance and batch incremental learning methods for delayed labels in fraud detection.

Kodjo Mawuena Amekoe, Mustapha Lebbah, Gregoire Jaffre

2025-06-11T03:57:36+00:00 ― 5 min read

Machine Learning Steinmetz Neural Networks: A New Approach to Complex Data

Introducing a unique neural network to handle complex-valued data effectively.

Shyam Venkatasubramanian, Ali Pezeshki, Vahid Tarokh

2025-06-11T03:18:06+00:00 ― 5 min read

Machine Learning SHIRE: Bridging Human Intuition and Robot Learning

SHIRE enhances robot learning speed by integrating human intuition with reinforcement learning.

Amogh Joshi, Adarsh Kumar Kosta, Kaushik Roy

2025-06-11T01:03:48+00:00 ― 6 min read

Neural and Evolutionary Computing Advancements in Spiking Neural Networks with Analog Circuits

A new system leverages spiking neural networks for efficient data processing.

Nanako Kimura, Ckristian Duran, Zolboo Byambadorj

2025-06-10T22:33:42+00:00 ― 5 min read

Neural and Evolutionary Computing Introducing Inferno: A New Tool for Spiking Neural Networks

Inferno helps researchers work with spiking neural networks effectively.

Marissa Dominijanni

2025-06-10T20:51:00+00:00 ― 6 min read

Artificial Intelligence Understanding the Brain's Processes and Functions

Explore how the brain processes information, memories, and emotions.

Volker Tresp, Hang Li

2025-06-09T15:11:48+00:00 ― 7 min read

Machine Learning Enhancing Trust in Clustering with Counterfactual Explanations

A new method improves understanding of clustering results through counterfactual explanations.

Aurora Spagnol, Kacper Sokol, Pietro Barbiero

2025-06-09T07:35:18+00:00 ― 8 min read

Neurons and Cognition Understanding Neural Dynamics Through Traveling Waves

Exploring the role of traveling waves in brain function and artificial intelligence.

T. Anderson Keller, Lyle Muller, Terrence J. Sejnowski

2025-06-09T03:39:36+00:00 ― 6 min read

Quantum Physics The Future of Data Privacy in Machine Learning

Combining Federated Learning and quantum technology promises safer data handling in AI.

Siddhant Dutta, Pavana P Karanth, Pedro Maciel Xavier

2025-06-08T18:44:09+00:00 ― 6 min read

Neural and Evolutionary Computing Quality-Diversity Algorithms: Balancing Performance and Reproducibility

Examining the role of reproducibility in Quality-Diversity algorithms for real-world applications.

Manon Flageat, Hannah Janmohamed, Bryan Lim

2025-06-08T15:47:18+00:00 ― 7 min read

Neural and Evolutionary Computing DBSCAN and Neuromorphic Computing: A New Approach

Analyzing the application of DBSCAN in neuromorphic systems for efficient data processing.

Charles P. Rizzo, James S. Plank

2025-06-08T13:01:24+00:00 ― 6 min read

Machine Learning Balancing Performance and Interpretability with GAMs

This article examines GAMs as a solution for predictive performance and interpretability.

Sven Kruschel, Nico Hambauer, Sven Weinzierl

2025-06-08T01:18:18+00:00 ― 7 min read

Quantum Physics Advancements in Quantum Computing for Optimization Problems

Research merges evolutionary algorithms and quantum computing to tackle the Max-Cut problem.

Francesca Schiavello, Edoardo Altamura, Ivano Tavernelli

2025-06-07T16:57:42+00:00 ― 5 min read

Machine Learning KAMoE: Advanced Predictions with Mixture of Experts

A new method enhances predictions in machine learning using specialized models.

Hugo Inzirillo, Remi Genet

2025-06-07T13:27:18+00:00 ― 5 min read

Machine Learning Advancements in Modern Hopfield Networks with HEN

HEN improves memory retrieval in neural networks by enhancing pattern separability.

Satyananda Kashyap, Niharika S. D'Souza, Luyao Shi

2025-06-06T23:22:00+00:00 ― 6 min read

Machine Learning Using Blood Tests and Machine Learning to Predict Cognitive Decline

Research shows promise in predicting cognitive decline with blood tests and advanced models.

Henry Musto, Daniel Stamate, Doina Logofatu

2025-06-06T21:15:36+00:00 ― 5 min read

Neural and Evolutionary Computing Introducing mLSHADE-RL: A New Strategy for Optimization

A fresh approach to optimization using multiple strategies for better results.

Dikshit Chauhan, Anupam Trivedi, Shivani

2025-06-06T16:54:54+00:00 ― 4 min read

Neural and Evolutionary Computing Improving Spiking Neural Networks with Twin Network Augmentation

A new method enhances SNN performance while saving energy through weight compression.

Lucas Deckers, Benjamin Vandersmissen, Ing Jyh Tsang

2025-06-06T11:54:42+00:00 ― 6 min read

Artificial Intelligence Improving AI Reasoning with Proof of Thought

A new framework aims to enhance reliability and clarity in AI reasoning.

Debargha Ganguly, Srinivasan Iyengar, Vipin Chaudhary

2025-06-06T02:10:06+00:00 ― 7 min read

Machine Learning Ensuring Privacy in Machine Learning Models

Techniques to protect sensitive data in machine learning.

Francisco Aguilera-Martínez, Fernando Berzal

2025-06-06T00:51:06+00:00 ― 5 min read

Computers and Society Improving Disease Monitoring with Sewage Surveillance

A new algorithm optimizes sensor placement in sewage networks for better public health monitoring.

Sunyu Wang, Yutong Xia, Huanfa Chen

2025-06-05T16:25:30+00:00 ― 5 min read

Neural and Evolutionary Computing Superconducting Optoelectronic Networks: A New Approach to Brain-Like Computing

Researchers develop models that mimic brain processing using light and superconducting systems.

Jeffrey M. Shainline, Bryce A. Primavera, Ryan O'Loughlin

2025-06-05T03:07:36+00:00 ― 5 min read

Neural and Evolutionary Computing Assessing Climate Resilience in Low-Income Countries

A new framework analyzes agricultural resilience to climate change across various low-income countries.

Ronald Katende

2025-06-05T01:18:44+00:00 ― 5 min read

Machine Learning Advancing Protein Design with GameOpt

GameOpt innovates protein design through efficient optimization techniques.

Melis Ilayda Bal, Pier Giuseppe Sessa, Mojmir Mutny

2025-06-04T22:42:51+00:00 ― 6 min read

Machine Learning Analyzing Neural Networks with Quiver Representation Theory

A new method enhances understanding and reliability of neural networks.

Samuel Leblanc, Aiky Rasolomanana, Marco Armenta

2025-06-04T17:48:29+00:00 ― 5 min read

Machine Learning Introducing XNet: A New Approach to Function Modeling

XNet leverages the Cauchy Activation Function for improved accuracy in complex data tasks.

Xin Li, Zhihong Xia, Hongkun Zhang

2025-06-04T14:13:24+00:00 ― 7 min read

Neural and Evolutionary Computing Optimizing Neural Networks for Edge Devices

A new framework improves neural networks for devices with limited resources.

Kam Chi Loong, Shihao Han, Sishuo Liu

2025-06-04T08:17:54+00:00 ― 6 min read

Artificial Intelligence Improving Customer Service with Chatbots

This article explores how machine learning can optimize customer service chatbots.

Nurul Ain Nabilah Mohd Isa, Siti Nuraishah Agos Jawaddi, Azlan Ismail

2025-06-04T02:30:18+00:00 ― 7 min read

Neural and Evolutionary Computing Advancements in Language Models: Speed and Efficiency

This article explores new methods to make language models faster and more energy-efficient.

Nathan Leroux, Paul-Philipp Manea, Chirag Sudarshan

2025-06-03T18:04:42+00:00 ― 4 min read

Neurons and Cognition The Role of Working Memory in Daily Life

Exploring how working memory impacts our ability to recall information.

Aakash Sarkar, Chenyu Wang, Shangfu Zuo

2025-06-03T17:52:21+00:00 ― 8 min read

Machine Learning Introducing Zorro Activation Functions for Neural Networks

Zorro functions provide smooth solutions for enhanced neural network performance.

Matias Roodschild, Jorge Gotay-Sardiñas, Victor A. Jimenez

2025-06-03T16:37:48+00:00 ― 5 min read

Machine Learning Counter-Current Learning: A New Approach to Neural Networks

Introducing counter-current learning as a natural alternative to traditional training methods.

Chia-Hsiang Kao, Bharath Hariharan

2025-06-03T14:31:24+00:00 ― 8 min read