The American Journal of Artificial Intelligence and Neural Networks is an open-access, peer-reviewed journal dedicated to publishing high-quality research in the fields of artificial intelligence (AI) and neural networks. It serves as a platform for scholars and professionals to share innovative methodologies, applications, and case studies that advance the understanding and practice of these disciplines.

Aims and Scope:

The journal focuses on a wide range of topics, including:

• Artificial Neural Networks (ANNs): Development and application of neural network models for various tasks.

• Machine Learning Algorithms: Exploration of algorithms that enable machines to learn from data.

• Deep Learning: Study of deep neural networks and their applications.

• Natural Language Processing (NLP): Techniques for enabling machines to understand and interpret human language.

• Computer Vision: Methods for enabling machines to interpret and process visual information.

• Reinforcement Learning: Study of algorithms that learn optimal actions through trial and error.