As technology spreads globally, researchers and scientists continue to develop and study the strategy behind creating artificial life. This research field is ever expanding, and it is essential to stay current in the contemporary trends in artificial life, artificial intelligence, and machine learning. This an important topic for researchers and scientists in the field as well as industry leaders who may adapt this technology.

The Handbook of Research on New Investigations in Artificial Life, AI, and Machine Learning provides concepts, theories, systems, technologies, and procedures that exhibit properties, phenomena, or abilities of any living system or human. This major reference work includes the most up-to-date research on techniques and technologies supporting AI and machine learning. Covering topics such as behavior classification, quality control, and smart medical devices, it serves as an essential resource for graduate students, academicians, stakeholders, practitioners, and researchers and scientists studying artificial life, cognition, AI, biological inspiration, machine learning, and more.

Coverage:
The many academic areas covered in this publication include, but are not limited to:
•Advanced Portfolio Management
•Behavior Classification
•Computational Thinking
•Convolutional Neural Networks
•Multiclass Classification
•Natured-Inspired Optimization
•Neuroscience
•Quality Control
•Receptor Cell Model
•Reward Occurrence Probability
•Smart Medical Devices
•Sole Pressure Sensory Feedback
•Visual Feedback Control