Consensus‐based Approaches to Processing Collective Inconsistency and Knowledge Integration. The main contributions are as follows: We have presented an overview of consensus‐based approaches to processing inconsistency of knowledge towards determining the knowledge of a collective as a whole. The problem of multi‐level integration for large collectives has also been presented. We have presented the function which measured the knowledge increase in a collective. The role of collective knowledge in Collective Intelligence has been also discussed.

Automatic differentiation is a powerful tool to differentiate mathematical functions and algorithms. It has, over the past years, been applied to many branches of computational statistics. This article reviews some important mathematical and computational considerations required for its efficient implementation.

Anomaly detection using machine learning

Survey on Neuromorphic Vision Algorithms: Object Detection / Recognition, Object Tracking, Localization and Mapping

Explainable AI.

Flowchart explains reviewing heuristic ARM approaches, comparing them based on performance metrics like execution time, completeness, number of database scans, etc, and finally proposing a parameter, named GT‐Rank, for finding the best heuristic ARM approaches.