Project Control and Computational Intelligence: Trends and Challenges

Embodied Artificial Intelligence: Trends and Challenges

The field of Artificial Intelligence, which started roughly half a century ago, has a turbulent history. In the 1980s there has been a major paradigm shift towards embodiment. While embodied artificial intelligence is still highly diverse, changing, and far from “theoretically stable”, a certain consensus about the important issues and methods has been achieved or is rapidly emerging. In this n...

Computational Intelligence for Project Scope

 Managing scope is a critical process in information technology (IT) project management. Reporting the status of scope requires both an understanding of the status of individual activities and the aggregation into an overall status for the project. Unlike cost and schedule which have the objective measures of currency spent or days passed, scope is subjective. Understanding the status of scope...

Grand Challenges for Computational Intelligence

The expansive research field of computational intelligence combines various nature-inspired computational methodologies and draws on rigorous quantitative approaches across computer science, mathematics, physics, and life sciences. Some of its research topics, such as artificial neural networks, fuzzy logic, evolutionary computation, and swarm intelligence, are traditional to computational inte...

The Use of Computational Intelligence in Digital Watermarking: Review, Challenges, and New Trends

Digital Watermarking (DW) based on computational intelligence (CI) is currently attracting considerable interest from the research community. This article provides an overview of the research progress in applying CI methods to the problem of DW. The scope of this review will encompass core methods of CI, including rough sets (RS), fuzzy logic (FL), artificial neural networks (ANNs), genetic alg...

Computational Intelligence in Biomedicine and Bioinformatics, Current Trends and Applications