In the evolving world of machine learning (ML), the phenomenon of data and concept drift presents both challenges and ...
Scientists have developed a geometric deep learning method that can create a coherent picture of neuronal population activity during cognitive and motor tasks across experimental subjects and ...
Thanks to its capacity to detect patterns and stay consistent, machine learning is a great tool for CNS behaviour studies.
In a nutshell A new artificial intelligence algorithm called Torque Clustering, inspired by how galaxies merge in space, can ...
Large language models (LLMs), such as the model behind OpenAI's popular platform ChatGPT, have been found to successfully ...
Khatun, N. (2025) Evaluations of Machine Learning Algorithms Using Simulation Study. Open Journal of Statistics, 15, 41-52.
Abstract: Stochastic optimization algorithms are widely used to solve large-scale machine learning problems ... we perform a comprehensive convergence rate analysis of stochastic gradient descent (SGD ...