Predicting earthquakes has long been an unattainable fantasy. Factors like odd animal behaviors that have historically been ...

Determining the least expensive path for a new subway line underneath a metropolis like New York City is a colossal planning challenge—involving thousands of potential routes through hundreds of city ...

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 ...

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

Abstract: In Big Data-based applications, high-dimensional and incomplete (HDI) data are frequently used to represent the complicated interactions among numerous nodes. A stochastic gradient descent ...

Learn how to implement SGD with momentum from scratch in Python—boost your optimization skills for deep learning. Marine Colonel Who Resigned Because Of Trump Says Personnel Should Question 'Illegal ...

🧠 What is Double Descent? Double descent describes a curious U-turn in the test error of overparameterised models: after the classical bias-variance tradeoff peak ...

1 Faculty of Fisheries, Recep Tayyip Erdogan University, Rize, Türkiye 2 Mechanical Engineering, Recep Tayyip Erdogan University, Rize, Türkiye No new animal experiments were performed in this study.

The future of gene editing depends on tools that are programmable, scalable, and adaptable to diverse disease contexts. Recombinases are emerging as a promising solution, but optimizing their ...

The first chapter of Neural Networks, Tricks of the Trade strongly advocates the stochastic back-propagation method to train neural networks. This is in fact an instance of a more general technique ...

ABSTRACT: Diversity, Equity, and Inclusion (DEI) initiatives are pivotal for fostering inclusive environments and promoting equal opportunities within organizations. However, the collection and ...