A team of international researchers has discovered a new physics-based algorithm capable of detecting the weather system ...

A Filipino-led team of international researchers has discovered a new physics-based algorithm capable of detecting the ...

We discuss the convergence of line search methods for minimization. We explain how Newton's method and the BFGS method can fail even if the restrictions of the objective function to the search lines ...

Generative artificial intelligence (AI) for predictive analysis: Can AI estimate the likelihood of sentinel lymph node metastases in early-stage breast cancer? Assessing the impact of policy ...

A recent revolutionary study reveals how mice have evolved in an incredible way. They can ‘hear’ through their whiskers. The study, released by the Weizmann Institute of Science, proves that whiskers ...

Understanding the concept of convergence is fundamental to grasping how modern mathematics and computational algorithms achieve precision and reliability. Convergence describes the process by which a ...

This important work presents a novel approach to infer causal relations in non-stationary time series data. To do so, the authors introduce a novel machine-learning model of Temporal Autoencoders for ...

Adam is widely used in deep learning as an adaptive optimization algorithm, but it struggles with convergence unless the hyperparameter β2 is adjusted based on the specific problem. Attempts to fix ...

A new study reveals the surprisingly convergent evolution in the inner ear of mammals. An international research team showed that a group of highly divergent mammals known as Afrotheria and distantly ...

The aim of this paper is to carry out convergence analysis and algorithm implementation of a novel sample-wise backpropagation method for training a class of stochastic neural networks (SNNs). The ...