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. This comprehensive paperback, published by Springer International Publishing AG, delves into the latest research and applications in the field, making it an essential read for students and professionals alike. Spanning 480 pages, the 2024 edition covers a wide range of topics, including fairness in machine learning, classification techniques in computer vision, and innovative 3D methods. Additionally, it explores anomaly detection and various other crucial themes within computer vision, as well as brain-inspired computing. Whether you're looking to enhance your knowledge or stay updated on the latest trends, this book is a valuable resource that combines theoretical insights with practical applications. Don't miss out on this opportunity to expand your understanding of neural networks and machine learning!