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An analysis of the history of technology shows that technological change is exponential, contrary to the common-sense 'intuitive linear' view. So we won't experience 100 years of progress in the 21st century—it will be more like 20,000 years of progress (at today's rate).
In strategy games, a technology, tech, or research tree is a hierarchical visual representation of the possible sequences of upgrades a player can unlock (most typically representing the research progress of a given faction).
A Technology Readiness Level Calculator was developed by the United States Air Force. [6] This tool is a standard set of questions implemented in Microsoft Excel that produces a graphical display of the TRLs achieved. This tool is intended to provide a snapshot of technology maturity at a given point in time. [7]
This template calculates the per annum compound growth rate given two pairs of years and populations (or other time periods and units) using: P A G R = [ ( P 2 P 1 ) 1 t 2 − t 1 − 1 ] × 100 % {\displaystyle PAGR=\left[\left({\frac {P_{2}}{P_{1}}}\right)^{\frac {1}{t_{2}-t_{1}}}-1\right]\times 100\%}
Technology opportunities analysis started since 1990. Improved software can help analysts search and retrieve data information from large complicated database and then graphically represents interrelations. [ 7 ]
Moore (1995) expected that "the rate of technological progress is going to be controlled from financial realities". [129] The reverse could and did occur around the late-1990s, however, with economists reporting that "Productivity growth is the key economic indicator of innovation."
The Y-axis of the diagram shows the business gain to the proprietor of the technology while the X-axis traces its lifetime. The technology life cycle (TLC) describes the commercial gain of a product through the expense of research and development phase, and the financial return during its "vital life". Some technologies, such as steel, paper or ...
Pace of innovation is the speed at which technological innovation or advancement is occurring, with the most apparent instances being too slow or too rapid. Both these rates of innovation are extreme and therefore have effects on the people that get to use this technology.