The Emergence of a New Technology the Case of Neural Networks
The Emergence of a New Technology the Case of Neural Networks
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In our eReader you can find the full English version of the book. Read The Emergence of a New Technology the Case of Neural Networks Online - link to read the book on full screen. Our eReader also allows you to upload and read Pdf, Txt, ePub and fb2 books. In the Mini eReder on the page below you can quickly view all pages of the book - Read Book The Emergence of a New Technology the Case of Neural Networks
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Diffusion of participation and the grapevine As described in the introductory section, R&D communities can extend beyond industrial boundaries, such that technological development is not wholely the domain of firms. R&D communities can consist of researchers employed by a variety of organizations, cutting across 20 university, industry, and government sectors. The neural networks case exemplifies this fact quite clearly.
For our purposes, the organizations involved in neural network research we...re classified as being either within the private or public sector. This second group is a mixture of university and government laboratories, although predominantly university. The distribution of researchers between the two sectors is shown in figure 4. Since 1969, a cumulative total of about 3800 man-years of research has been devoted to the development of neural networks. The fast majority of that effort took place in the public sector. Although industrial researchers had grown in numbers during the bandwagon-phase (reaching 18-percent in the last few years), prior to 1985 only between two- to seven-percent of all researchers where in the private sector.
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To quickly assess the difficulty of the text, read a short excerpt:
Diffusion of participation and the grapevine As described in the introductory section, R&D communities can extend beyond industrial boundaries, such that technological development is not wholely the domain of firms. R&D communities can consist of researchers employed by a variety of organizations, cutting across 20 university, industry, and government sectors. The neural networks case exemplifies this fact quite clearly.
For our purposes, the organizations involved in neural network research we...re classified as being either within the private or public sector. This second group is a mixture of university and government laboratories, although predominantly university. The distribution of researchers between the two sectors is shown in figure 4. Since 1969, a cumulative total of about 3800 man-years of research has been devoted to the development of neural networks. The fast majority of that effort took place in the public sector. Although industrial researchers had grown in numbers during the bandwagon-phase (reaching 18-percent in the last few years), prior to 1985 only between two- to seven-percent of all researchers where in the private sector.
What to read after The Emergence of a New Technology the Case of Neural Networks?
You can find similar books in the "Read Also" column, or choose other free books by Michael a Rappa to read onlineMoreLess
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