Abstract
Fresh data on Machine Learning are pre sented in a new report. According to news originating from Gaithersburg, Marylan d, by NewsRx correspondents, research stated, "Automation and machine learning t echniques are poised to dramatically accelerate the development of new materials while simultaneously increasing our understanding of the physics and chemistry that underlie the formation of such materials. In particular, the convergence of accessible machine learning tools, the availability of highquality data, and t he advent of accessible experimental automation platforms have led to a number o f closed-loop autonomous experimentation platforms or ‘self-driving labs."
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