Artificial Intelligence: Videos

Differential Evolution (DE) is one of the most popular, high-performance optimization algorithms with variants that have been outperforming others for years. As a result, DE has grown to accommodate wide usage for a variety of disciplines across scientific fields. Differential Evolution and Large-Scale Optimization Applications presents a research-based overview and cross-disciplinary applications of optimization algorithms. Emphasizing applications of Differential Evolution (DE) across sectors and laying the foundation for further use of DE algorithms in real-world settings, this video is an essential resource for researchers, engineers, and graduate-level students.

The field of robotics is becoming more and more sophisticated every day as new developments in artificial intelligence, synthetic emotions, image processing, and cognitive architecture emerge. As technology continues to develop, the potential for socially aware and interactive robots in the mainstream becomes a reality. Developing Socially Interactive Robots presents a research-based discussion on the newest generation of robotics to include humanoid robots and social and assistive robots developed to directly interact with the human population. Highlighting a variety of topics relating to emerging intelligent technologies, current applications for social robots as well as standardization and ethics issues, this video lecture is designed for educational use by researchers, graduate-level students, ethicists, and engineers interested in learning about next-generation robotic technologies and

A neural network is defined as a large-scale parallel distributed processor composed of a number of individual processing units which mirror the natural brain processes of learning and storing information. Because neural networks behave in a manner similar to what is found in nature, their application to real-world problems is beneficial across industries. Backpropagation Neural Networks and Their Applications presents an overview of experimental studies conducted in a university setting using backpropagation neural networks applied to a variety of domains. Touching on crucial research-based topics and providing insight into real-world applications of backpropagation neural networks, this video lecture is ideal for use by researchers, computer scientists, and graduate-level students.