A great number of research fields, in academia and industry, have been transformed in the past decade by the availability of large amounts of data and substantial computing power. Advancements in artificial intelligence are helping researchers to address complex questions and develop new solutions to some of society’s greatest challenges in fields like transportation, healthcare, finance and agriculture.
Springer Nature’s AI & Machine Learning journals and eBooks collections span topics in artificial intelligence, machine learning, neural networks, machine ethics, intelligent robotics, natural language processing, deep learning, reinforcement learning, probabilistic learning, computer vision, machine perception, fuzzy logic, swarm intelligence, genetic computing, evolutionary computing, Bayesian networks, symbolic reasoning, multi-agent systems, and more. Advances in these fields will lead to the next phase of the digital age – who will you choose as your partner in research to arrive at your next big discovery?
