Remote sensing (RS) is a method for understanding the ground and facilitating human–ground communications [...]

Artificial intelligence (AI) is a general term used to describe the development of computer systems which can perform tasks that normally require human cognition. Machine learning (ML) one subfield AI, where computers learn rules from data, capturing its intrinsic statistical patterns and structures. Neural networks (NNs) have been increasingly employed for ML complex data. The application mult...

In this Perspective, the authors review how machine learning, and more broadly methods of artificial intelligence, are utilized in advancing quantum technologies, specifically design, control, calibration optimization devices. They also discuss open challenges field potential future directions within next decade.

We live in a paradoxical age. When it comes to technology and the economy we see transformative new technologies everywhere except in the productivity statistics. Systems using artificial intelligence (AI)—and machine learning in particular—increasingly match or surpass human-level performance; news about the rapid pace of technological advancement abounds, and market capitalizations for techno...

in a rapidly changing environment, turbulent, unpredictable and full of uncertainty, organizations should have a productive, creative and continuous learning capability and potential in order to survive, grow, and accomplish goals in order to create superior value for all their stakeholders, especially customers. such a learning capability of organization and its continuous development depends ...

The last two decades have seen a great deal of theorising and speculation about the modular nature of human intelligence, as well as a rise in use of modular architectures in artificial intelligence. Nevertheless, whether such models of natural intelligence are well supported is still an issue of debate. In this paper, I propose that the most important criteria for modularity is specialised rep...

A cognitive robot is an autonomous robot that is capable of inference, perception, and learning mimicking the cognitive mechanisms of the brain. The underpinning technologies for cognitive robots are the cognitive knowledge base (CKB) and the cognitive learning engine (CLE). This paper explores the cognitive foundations and denotational mathematical means of CLE and CKB for cognitive robotics. ...

— This paper assumes the hypothesis that human learning is perception based, and consequently, the learning process and perceptions should not be represented and investigated independently or modeled in different simulation spaces. In order to keep the analogy between the artificial and human learning, the former is assumed here as being based on the artificial perception. Hence, instead of cho...

This article presents an overview of Ipseity, an open-source platform developed in C++ with the Qt framework. The current version of the platform includes a set of plugins implementing single-agent and multi-agent environments, hardcoded controllers based on Artificial Intelligence (AI) techniques, classical Reinforcement Learning (RL) techniques like Q-Learning, Sarsa, Epsilon-Greedy combined ...

J. Andrew Bagnell March 15, 2015 J. A. Bagnell is an associate professor at the Robotics Institute and Machine Learning Department at Carnegie Mellon University. Imitation learning is the study of algorithms that attempt to improve performance by mimicking a teacher’s decisions and behaviors. Such techniques promise to enable effective “programming by demonstration” to automate tasks, such as d...