Lessons from infant learning for unsupervised machine learning

Abstract

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Reflective microscopy for mechanistic insights in corrosion research

“…[57] Unsupervised learning techniques will be useful to reveal internal data structure and reduce dimensionality of the corrosion relevant optical data. [58] Generated optical datasets will contribute to the supervised and reinforcement learning models aimed at prediction and optimization of electrochemical activities of novel generation of metal substrates. [59]…”

Reflective microscopy for mechanistic insights in corrosion research

“…[53] Unsupervised learning techniques will be useful to reveal internal data structure and reduce dimensionality of the corrosion relevant optical data. [54] Generated optical datasets will contribute to the supervised and reinforcement learning models aimed at prediction and optimization of electrochemical activities of novel generation of metal substrates. [55]…”

Perceptual learning in humans: an active, top-down guided process

“…Research also shows that perception and action are interdependent processes, in particular during the development of perception (Zaadnoordijk et al, 2022). For example, kittens that are passively moved around, do not develop depth perception (Held & Hein, 1963), just like DDN's that are fed visual input do not perceive depth (Jacob et al, 2021).…”