Applications of Artificial Intelligence in Chemistry by Hugh M. Cartwright

By Hugh M. Cartwright

Man made intelligence is not only approximately making machines imagine; it's also a robust problem-solving instrument. Many medical difficulties may be solved basically with hassle utilizing traditional equipment, but those similar difficulties should be ultimate to assault utilizing synthetic intelligence. This publication, for college-level scholars in any technological know-how self-discipline, introduces those exciting and robust thoughts, and discusses their transforming into impression upon technology.

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By Hugh M. Cartwright

Man made intelligence is not only approximately making machines imagine; it's also a robust problem-solving instrument. Many medical difficulties may be solved basically with hassle utilizing traditional equipment, but those similar difficulties should be ultimate to assault utilizing synthetic intelligence. This publication, for college-level scholars in any technological know-how self-discipline, introduces those exciting and robust thoughts, and discusses their transforming into impression upon technology.

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We invite readers not to do what we have done, but to use what we have done as examples or sources of inspiration to develop their own approaches. Two Researching Experiences Chapter contents Introduction 19The Concept of Experience 20Existing Approaches to Researching Experience 21The Implications of Digital Media and Technologies for Researching Experience 23Researching Experience through Digital Ethnography 24Reflecting on Experience in Digital Ethnography 37Summing up 39 Introduction This chapter explores how digital ethnographers might research the concept of experience.

She is Visiting Professor in Social Sciences in the School of Design and School of Civil and Building Engineering at Loughborough University, UK; Visiting Professor in Applied Social and Cultural Analysis at Halmstad University, Sweden; and Guest Professor on the Visual and Media Anthropology programme at the Free University, Berlin, Germany. Her research is funded by a range of research councils and through collaboration with industry partners. , 2012), Doing Visual Ethnography (3rd edn, 2013) and Doing Sensory Ethnography (2nd edn, 2015).

Indeed, our wider argument is that, for a number of reasons, contemporary ethnography needs to be as Hine has put it, ‘adaptive’ (2015: 192). The reasons for using adaptive methods vary: they can be a response to time limitations, the distributed nature of field sites, the nature of the analytical units or the (inter)disciplinary foci they take. Yet, we contend that we also need to use ‘adaptive concepts’ precisely because digital ethnography is not just a ‘method’ or part of a ‘toolkit’. Rather, digital ethnography is also always engaged in building and developing theory.

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