In recent years, a growing number of leading AI experts have drawn striking parallels between artificial neural networks and the human brain, suggesting that machine intelligence may not only equal ...

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

Soil moisture is a key factor driving the Earth's water and carbon cycles, but large-scale monitoring has long been hindered ...

Abstract: In the context of infinite-horizon general-sum linear quadratic (LQ) games, the convergence of gradient descent remains a significant yet not completely understood issue. While the ...

The rushed and uneven rollout of A.I. has created a fog in which it is tempting to conclude that there is nothing to see here ...

In this tutorial, we explore how to harness Apache Spark’s techniques using PySpark directly in Google Colab. We begin by setting up a local Spark session, then progressively move through ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

Abstract: Distributed learning (DL) uses multiple nodes to accelerate training, enabling efficient optimization of large-scale models. Stochastic Gradient Descent (SGD), a key optimization algorithm, ...

Queensland Alliance for Environmental Health Sciences (QAEHS), 20 Cornwall Street, Woolloongabba, Brisbane, QLD 4102, Australia ARC Training Centre for Hyphenated Analytical Separation Technologies ...

Researchers utilize 2D electrical resistivity imaging and borehole data to estimate the N60-value of soils with k-means clustering technique Thailand's northern regions, characterized by complex ...