Artificial Neural Networks and Machine Learning – ICANN 2024

Discover the cutting-edge advancements in artificial intelligence with "Artificial Neural Networks and Machine Learning – ICANN 2024," authored by Michael Wand. Published by Springer International Publishing AG, this 2024 edition spans 438 pages, providing an in-depth exploration of the latest trends and techniques in machine learning and neural networks.

This comprehensive book is divided into four insightful parts. The first section delves into fairness in machine learning, addressing critical ethical considerations. The second part focuses on computer vision, covering classification and innovative 3D methods. The third section tackles anomaly detection and additional topics within the realm of computer vision. Finally, the fourth part introduces brain-inspired computing, highlighting the intersection of neuroscience and artificial intelligence.

Whether you're a student, researcher, or professional in the field, "Artificial Neural Networks and Machine Learning – ICANN 2024" is an essential resource for understanding the future of technology. Get your copy today and stay ahead in the rapidly evolving world of AI!