The study’s authors note that small neural networks — simplified versions of the neural networks typically used in commercial ...

The authors' investigation aims to evaluate the algorithm's efficiency, advantages, and disadvantages for real-world applications. Results offer insights into the untapped potential and nuances of ...

The performance of 6G networks can be enhanced by utilizing Deep Neural Networks (DNNs) to perform SS. This paper provides a detailed survey of several Deep Learning (DL) algorithms used for SS by ...

How reliable is artificial intelligence, really? An interdisciplinary research team at TU Wien has developed a method that ...

Researchers have developed a new hybrid earthquake early warning system called HEWFERS, which leverages advanced machine ...

This important study demonstrates the significance of incorporating biological constraints in training neural networks to develop models that make accurate predictions under novel conditions. By ...

M. Janssen et al, Deep learning inference with the Event Horizon Telescope III. Zingularity results from the 2017 observations and predictions for future array expansions, Astronomy & Astrophysics ...