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This article presents a novel hybrid algorithm based on the grey-wolf optimizer and whale optimization algorithm, referred here as grey-wolf optimizer–whale optimization algorithm, for the dynamic parametric modelling of a four degree-of-freedom master–slave robot manipulator system. The first part of this work consists of testing the feasibility of the grey-wolf optimizer–whale optimization algorithm by comparing its performance with a grey-wolf optimizer, whale optimization algorithm and particle swarm optimization using 10 benchmark functions. The grey-wolf optimizer–whale optimization algorithm is then used for the model identification of an experimental master–slave robot manipulator system using the autoregressive moving average with exogenous inputs model structure. Obtained results demonstrate that the hybrid algorithm is effective and can be a suitable substitute to solve the parameter identification problem of robot models.

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Praminda talked about working in healthcare research and development at the boundaries between academia and industry with an emphasis on the deep involvement of the stakeholders and end-users of the services to be developed. Dr. Lester Russell, Senior Director EMEA Scale Team, Intel Corporation. Lester drew on his combined skills and experience in clinical, commercial and health service roles to talk about the ways in which "the black box" of AI can be used for social good. By adopting ICT to improve healthcare he will highlight not only the potential applications for artificial intelligence in health and life sciences, but also the barriers to its adoption and practical implementation.