… first statistical concepts to design experiments were based on factorial design and ANOVA.
… of experiments and to minimise effects of the not controlled factors, the time of experiments, …

… For the modeling and optimization of pollutants removal, artificial intelligence (AI) has been
used as a major tool in the experimental design that can generate the optimal operational …

… -question of the question “Can artificial intelligence/machines design?” controversy is the …
in this study by using generative design methods and artificial intelligence. “Midjourney, DALL-…

… Experimental design is generally used to efficiently optimize the affecting … experimental
error. Several classes of RSM such as central composite design (CCD), Box–Behnken design …

… Moreover, the advancement of artificial intelligence as an effective tool for the … -design has
also been reviewed. Finally, we summarized the opportunities and challenges of the design of …

… This review paper delves into synergistic integration of artificial intelligence (AI) and machine
learning (ML) with high-throughput experimentation (HTE) in the field of heterogeneous …

… the design of optical quantum experiments. We show how to map into a SAT problem the
experimental … more formal-based approaches in the context of quantum physics experiments. …

… of artificial intelligence (AI). The view we take is that AI is the study of the design of intelligent
… To gain further experience in building intelligent systems, a student should also experiment …

… [11] showed that particularly approaches from the fields of artificial intelligence (AI) and design
of experiments (DOE) seem to be promising for mapping the relationships between model …

… and optimization through statistical design of experiments (DoE), and then address the
current state of machine learning coupled with high throughput experimentation. This is followed …