… with parallel intelligence [6], which is a theory on interactions between the virtual and real
worlds to form a closed-loop artificial intelligence (AI… from the viewpoint of parallel intelligence. …

… system has three modes of operations: 1) training and learning, where artificial systems are
used mainly for off-line activities; 2) testing and validating, where computational experiments …

… needed for parallel analysis. … parallel screening and analysis techniques, data management
methodologies must be utilized to avoid bottlenecking of the overall HT experimentation …

… be necessarily corroborated making use of extensive experimental tests and data. The
complexity … Finally, neurocomputing is based on a parallel and distributed information processing …

… can expect significant strides in scientific experimentation and discovery, in essentially all …
the coupled solutions through either a parallel or a serial architecture using supervised …

… -intensive work is being augmented by automated, parallel, and iterative processes driven
by Artificial Intelligence (AI), simulation and experimental automation. In this perspective, we …

… , computation experiments, and parallel execution (ACP) approach was proposed as a parallel
intelligence … The basic idea of ACP is that parallel systems consisting of actual systems …

… Experimental results demonstrate that it outperforms BFA and two other algorithms in terms
of makespan, computation cost, and resource utilization. Jacob et al. [96] presented a BFA for …

… With the advance in parallel intelligence and metaverses, this would be changed, and we
need … system in MultiVerse, conduct its computational experiments in InterVerse, and design its …

… so-called parallel clustering algorithms. This paper presents an overview of the latest parallel
… The experiments on synthetic and real datasets show that the proposed method performs …