"Artificial Intelligence: Latest Advances, New Paradigms and Novel Applications" ed. by Eneko Osaba, et al.

This book collects radically new theoretical insights, reporting recent developments and evincing innovative applications regarding Artificial Intelligence (AI) methods in all fields of knowledge. It also presents works focused on new paradigms and novel branches of AI science.

Artificial Intelligence (AI) is widely known as a knowledge field that aims to make computers, robots, or products that mimic the way humans think. In the current scientific community, AI is an intensively studied area composed of multiple branches. Historically, machine learning and optimization are two of the most studied fronts thanks to the development of novel and challenging research topics such as transfer optimization, swarm robotics, and drift detection and adaptation to evolving conditions in real-time.

Contents
1. Introductory Chapter: Artificial Intelligence - Latest Advances, New Paradigms and Novel Applications
2. Big Data Framework Using Spark Architecture for Dose Optimization Based on Deep Learning in Medical Imaging
3. Novelty Detection Methodology Based on Self-Organizing Maps for Power Quality Monitoring
4. AI-Powered Workforce Management and Its Future in India
5. Agent Based Load Balancing in Grid Computing
6. A Food Recommender Based on Frequent Sets of Food Mining Using Image Recognition
7. The Prospects for Creating Instruments for the Coordination of Activities of International Organizations in the Regulation of Artificial Intelligence
8. Artificial Intelligence Assisted Innovation
9. Quest for I (Intelligence) in AI (Artificial Intelligence): A Non-Elusive Attempt


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