IAES International Journal of Artificial Intelligence (IJ-AI) is an open-access scientific journal that has been indexed by Scopus and focuses on the field of artificial intelligence (AI) as well as machine learning (ML). Research and development in the field of artificial intelligence (AI) has many enthusiasts because of its very broad and dynamic scope. Here are 3 topics covered in the February 2025 issue of the IAES International Journal of Artificial Intelligence (IJ-AI):
Machine Learning
Machine Learning (ML) is a branch of artificial intelligence (AI) that is attracting a lot of attention. ML encompasses algorithms and techniques that allow computers to learn from data sets in a human-like manner. ML is capable of performing a wide variety of tasks, depending on what it learns, ranging from healthcare to industry.
Deep Learning
Deep Learning is a subset of artificial intelligence (AI) that uses algorithms inspired by the way the human brain works. DL excels in its ability to learn autonomously from large and complex data, and perform tasks such as speech and image recognition, natural language processing and anomaly detection.
Neural Network
Neural networks are mathematical models inspired by the structure of human neural networks. It consists of interconnected nodes (artificial neurons) that process data and learn through experience from the data. NNs make it possible to learn complex relationships in the data, and produce more accurate predictions or classifications.
These are just a few of the topics covered in the February 2025 issue of the IAES IJ-AI journal. Read as much as you want for FREE, please visit the official IJAI journal website at: https://ijai.iaescore.com/.
