The book presents new advances and research results in the fields of machine intelligence, artificial intelligence and smart systems. It includes main paradigms of machine intelligence algorithms, namely (1) neural networks, (2) evolutionary computation, (3) swarm intelligence, (4) fuzzy systems and (5) immunological computation.
^【IROS】Scalable Model-based Policy Optimization for Decentralized Networked Systems https://arxiv.org/abs/2207.06559 ^【Kaiqing Zhang et al】Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms, Springer Studies in Systems, Decision and Control, Handbook on RL and Con...
The neurobench framework for benchmarking neuromorphic computing algorithms and systems Brain-inspired neuromorphic algorithms and systems have shown essential advance in efficiency and capabilities of AI applications. In this Perspective, the authors introduce NeuroBench, a benchmark framework for neuromorphic...
Nature Machine Intelligence is an online-only journal publishing research and perspectives from the fast-moving fields of artificial intelligence, machine learning and robotics.
2021, Expert Systems with ApplicationsWafaa S. El-Kassas, ... Hoda K. Mohamed Review article Machine learning for internet of things data analysis: a survey 5 Taxonomy of machine learning algorithms Machine learning is a subfield of computer science, and is a type of Artificial Intelligence (AI...
Artificial intelligence (AI) Machine learning (ML) Deep learning (DL) Scope Learning approach Feature handling and extraction Performs automatic feature extraction and learning through its layered structure Key techniques/algorithms Logic, rules, planning, expert systems, ML, DL ...
with emphasis on applications as well as novel algorithms and systems. Following the success of previous ICMLA conferences, the conference aims to attract researchers and application developers from a wide range of ML related areas, and the recent emergence of Big Data processing brings an urgent ne...
machine learning, in artificial intelligence (a subject within computer science), discipline concerned with the implementation of computer software that can learn autonomously. Expert systems and data mining programs are the most common applications for improving algorithms through the use of machine learni...
Artificial intelligence - Machine Learning, Robotics, Algorithms: AI research follows two distinct, and to some extent competing, methods, the symbolic (or “top-down”) approach, and the connectionist (or “bottom-up”) approach. The top-down approach s
Artificial intelligence (AI) brings with it a promise of genuine human-to-machine interaction. When machines become intelligent, they can understand requests, connect data points and draw conclusions. They can reason, observe and plan. Consider: ...