Trace metals such as iron or zinc that are stored in deep-sea sediments are lost forever to phytoplankton on the ocean ...

The Novel Artificial Neural Network (ANN) method is compared with Recurrent Neural Network (RNN) to find accuracy. Symbols on the traffic sign boards are used as an image processing input picture.

The South African Weather Service (SAWS) has issued warnings for a severe cold front sweeping across the country this weekend ...

Neuromorphic computing, inspired by the human brain, offers a path to faster and more efficient AI. In a pioneering ...

Deep Learning, Personalized Pharmacotherapy, Pregnancy, Psychiatric Disorders, Electronic Health Records, Drug Efficacy Share and Cite: Filippis, R. and Foysal, A. (2025) Deep Learning for ...

Autoencoders are a type of artificial neural network utilized for unsupervised learning (Saha et al., 2019). These tools have been employed to detect potential patterns in biological data that may ...

Efforts are underway to transform mental health research/therapy, especially via the use of AI. I explore the latest via the ...

Understanding neural network dynamics is a cornerstone of systems neuroscience, bridging the gap between biological neural networks and artificial neural ...

The study proposes a hybrid activation function based on the Artificial Neural Network algorithm. This function is used to classify the need for irrigation in various crops and predict the best time ...

We thought it would be helpful to put together a glossary with definitions of some of the most important words and phrases that we use in our articles.