Moore's Law – The number of transistors on integrated circuit chips (1971-2018)Moore's law describes the empirical regularity that the number of transistors on integrated circuits doubles approximately every two years.This advancement is important as other aspects of technological progress - such as processing speed or the price of electronic products - arelinked to Moore's law.50,000,000,00010,000,000,0005,000,000,000Transistor count1,000,000,000500,000,000100,000,00050,000,00010,000,0005,000,00011108log(y)71,000,000500,0006сл100,00050,000310,0005,0001,000TMS 1000Intel 8008Intel 40041970Zilog Z80RCA 1802197280808085Motorola MS Technology19741976Motorola680000Intel 8086 Intel 8088MotorolaIntel 80386Motorola 68020Intel 802861978TI Explorer's 3Lisp machine chip1980Transistor countIntel 801866C16₂198210,000,000,0005,000,000,0001,000,000,000500,000,000100,000,00050,000,00010,000,0005,000,0001,000,000500,0001984100,00050,000Intel 80486N20161,0001986ARM 2ARM 11970198610,000 TMS 10005,000 Intel 8008Intel 4004Questions to be answered in your Brightspace Discussion:1988REGLData source: Wikipedia (https://en.wikipedia.org/wiki/Transistor_count)The data visualization is available at OurWorldinData.org. There you find more visualizations and research on this topic.1972The following is the same plot but with the common logarithm of the y-axis shown. You can seethat log(y) goes up uniformly.ARM 3MotorPentium ProPentium 。1990ARM 6Zilog 280RCA 1802oR40001974Pentium 4 Northwood BartonPentium 4 WillamettePentium Il Mobile DixonoAMD K7AMD K6-1992ARM700AMD K6Motorola680001976Motorola。SA 1108080808588 Technology1978Kamath5KS19941996Intel 8086 Intel 8088MB cacheItanium 2 Madison 6MOItanium 2 McKinleyPentium 4 Prescott-2MOPentium D Smithfield-1980WRS650021998Intel 80386Motorola 680200Intel 80286ABMSTOMI8-core Xeon Nehalem-EXSix-core Xeon 7400,Dual-core Itanium 20Pentium D Presler POWERS。Moore's Law - The number of transistors on integrated circuit chips (1971-2018)Moore's law describes the empirical regularity that the number of transistors on integrated circuits doubles approximately every two years.This advancernent is important as other aspects of technological progress - such as processing speed or the price of electronic products - arelinked to Moore's law.50,000,000,000Part c: Do you think that your prediction in Part b is believable? Why or why not?num Il Deschutes1982TI Explorer's 32-bitLisp machine chipIntel 80186AMD KB Pentium 4 Pres4 Cedar MillPentium Il TualatinPentium III Coppermine2000965C816919842002Intel 80486ARM 2ARM19861988Part a: The number of transistors per IC in 1972 seems to be about 4,000 (a rough estimate byeye). Using this estimate and Moore's Law, what would you predict the number of transistors perIC to be 20 years later, in 1992?Prediction Number2004Part b: From the chart, estimate (roughly) the number of transistors per IC in 2018. Using yourestimate and Moore's Law, what would you predict the number of transistors per IC to be in 2040?IBM 213 Storage Controller.18-core Xeon Haswell-E5.Xbox One main SoC61-core Xeon Phi12-core POWER8DEC WRLMultiTitanARM 3909Core i7 (Quad)AMD K10 quad-core 2M L3Core 2 Duo WolfdaleCore 2 Duo ConroeCell1990200672-core Xeon Phi Centriq 2400 GC2 IPUSPARC M7.ARM 6Core 2 Duo Wolfdale 3MCore 2 Duo AllendaleR40002008AtomARM Cortex-A9AMD K6Pentium ProPentium199220102012ARM7001994SA-110Apple A12X BionicTegra Xavier SoC888 Qualcomm Snapdragon 8cx/SCX8180HiSilicon Kirin 920rin 980+ Apple A12 BionicHiSilicon Kirin 71010-core Core i7 Broadwell-Qualcomm SnapdragoDual-core GPU GT2 CoreQuad-core GPUQuad-coreBroadwell-U2 Core i7 Skylake KGPU Core i7 HaswellApple A7 (dual-core ARM64 "mobile SoC")2014Pentium 4 NorthwoodPentium 4 WillamettePentium II Mobile Dixon,AMD K7AMD K6-Pentium IIKlamathAMOKS1996Licensed under CC-BY-SA by the author Max Roser.201632-core AMD Epyc•Data source: Wikipedia(https://en.wikipedia.org/wiki/Transistor_count)The data visualization is available at OurWorldinData.org. There you find more visualizations and research on this topic.19982018Pentium KatmaiPentium D Presler POWERSItanium 2 Madison 6MPentium D SmithfieldItanium 2 McKinleyPentium 4 Prescott-2MOAMD KB Pentium 4 PrescottBartonPentium III TualatinPentium III Coppermine20008-core Xeon Nehalem-EXSix-core Xeon 7400,Dual-core Itanium 20Our Worldin Data2002IBM 213 Storage Controller,18-core Xeon Haswell-E5Xbox One main SoC.61-core Xeon Phi12-core POWER200472-core Xeon Phi Centriq 2400 GC2 IPUSPARC M72006Core i7 (Quad)AMD K10 quad-core 2M L3Core 2 Duo Wolfdale2 Duo ConroeAtom2008Core 2 Duo Wolfdale 3MCore 2 Duo AllendalePentium 4 Cedar MillARM Cortex-A98201020120201432-core AMD EpycApple A12X BionicTegra Xavier SoCQuad-cQuad-core +Apple A7 (dual-core ARM64 "mobile SoC")Qualcomm Snapdragon 8cx/SCX8180HiSilicon Kirin 980+ Apple A12 BionicHiSilicon Kirin 71080-core Corg 17 BroadwGPU Ins Core i7 Broadwell-U+GPU GT2 Core i7 Skylake KDual-core i7 Haswell2016Ourin Data2018Licensed under CC-BY-SA by the author Max Roser. Solve the problem below. Copy the description of your forecast in the box below and include thatas part of your initial Discussion post in Brightspace. Using "copy" from here in Mobius and"paste" into Brightspace should work.Hint: The chart is taken from https://ourworldindata.org/technological-progress.From the chart, estimate (roughly) the number of transistors per IC in 2018. Using yourestimate and Moore's Law, what would you predict the number of transistors per IC to bein 2040?In some applications, the variable being studied increases so quickly ("exponentially") that aregular graph isn't informative. There, a regular graph would show data close to 0 and then asudden spike at the very end. Instead, for these applications, we often use logarithmic scales. Wereplace the y-axis tick marks of 1, 2, 3, 4, etc. with y-axis tick marks of 10¹ - 10, 10² = 100, 10³= 1000, 104 = 10000, etc. In other words, the logarithms of the new tick marks are equally spaced.Technology is one area where progress is extraordinarily rapid. Moore's Law states that theprogress of technology (measured in different ways) doubles every 2 years. A common examplecounts the number of transitors per integrated circuit. A regular y-axis scale is appropriate when atrend is linear, i.e. 100 transistors, 200 transistors, 300 transistors, 400 transistors, etc. However,technology actually increased at a much quicker pace such as 100 transistors,. 1,000 transistors,10,000 transistors, 100,000 transistors, etc.The following a plot of the number of transistors per integrated circuit over the period 1971 -2008 taken from https://ourworldindata.org/technological-progress (that site contains a lot of data,not just for technology). At first, this graph seems to show a steady progression until you lookcarefully at the y-axis it's not linear. From the graph, it seems that from 1971 to 1981 thenumber of transistors went from about 1,000 to 40,000. Moore's Law predicts that in 10 years, itwould double 5 times, i.e. go from 1,000 to 32,000, and the actual values (using very roughestimates) seem to support this.

Question

Moore's Law – The number of transistors on integrated circuit chips (1971-2018)Moore's law describes the empirical regularity that the number of transistors on integrated circuits doubles approximately every two years.This advancement is important as other aspects of technological progress - such as processing speed or the price of electronic products - arelinked to Moore's law.50,000,000,00010,000,000,0005,000,000,000Transistor count1,000,000,000500,000,000100,000,00050,000,00010,000,0005,000,00011108log(y)71,000,000500,0006сл100,00050,000310,0005,0001,000TMS 1000Intel 8008Intel 40041970Zilog Z80RCA 1802197280808085Motorola MS Technology19741976Motorola680000Intel 8086 Intel 8088MotorolaIntel 80386Motorola 68020Intel 802861978TI Explorer's 3Lisp machine chip1980Transistor countIntel 801866C16₂198210,000,000,0005,000,000,0001,000,000,000500,000,000100,000,00050,000,00010,000,0005,000,0001,000,000500,0001984100,00050,000Intel 80486N20161,0001986ARM 2ARM 11970198610,000 TMS 10005,000 Intel 8008Intel 4004Questions to be answered in your Brightspace Discussion:1988REGLData source: Wikipedia (https://en.wikipedia.org/wiki/Transistor_count)The data visualization is available at OurWorldinData.org. There you find more visualizations and research on this topic.1972The following is the same plot but with the common logarithm of the y-axis shown. You can seethat log(y) goes up uniformly.ARM 3MotorPentium ProPentium 。1990ARM 6Zilog 280RCA 1802oR40001974Pentium 4 Northwood BartonPentium 4 WillamettePentium Il Mobile DixonoAMD K7AMD K6-1992ARM700AMD K6Motorola680001976Motorola。SA 1108080808588 Technology1978Kamath5KS19941996Intel 8086 Intel 8088MB cacheItanium 2 Madison 6MOItanium 2 McKinleyPentium 4 Prescott-2MOPentium D Smithfield-1980WRS650021998Intel 80386Motorola 680200Intel 80286ABMSTOMI8-core Xeon Nehalem-EXSix-core Xeon 7400,Dual-core Itanium 20Pentium D Presler POWERS。Moore's Law - The number of transistors on integrated circuit chips (1971-2018)Moore's law describes the empirical regularity that the number of transistors on integrated circuits doubles approximately every two years.This advancernent is important as other aspects of technological progress - such as processing speed or the price of electronic products - arelinked to Moore's law.50,000,000,000Part c: Do you think that your prediction in Part b is believable? Why or why not?num Il Deschutes1982TI Explorer's 32-bitLisp machine chipIntel 80186AMD KB Pentium 4 Pres4 Cedar MillPentium Il TualatinPentium III Coppermine2000965C816919842002Intel 80486ARM 2ARM19861988Part a: The number of transistors per IC in 1972 seems to be about 4,000 (a rough estimate byeye). Using this estimate and Moore's Law, what would you predict the number of transistors perIC to be 20 years later, in 1992?Prediction Number2004Part b: From the chart, estimate (roughly) the number of transistors per IC in 2018. Using yourestimate and Moore's Law, what would you predict the number of transistors per IC to be in 2040?IBM 213 Storage Controller.18-core Xeon Haswell-E5.Xbox One main SoC61-core Xeon Phi12-core POWER8DEC WRLMultiTitanARM 3909Core i7 (Quad)AMD K10 quad-core 2M L3Core 2 Duo WolfdaleCore 2 Duo ConroeCell1990200672-core Xeon Phi Centriq 2400 GC2 IPUSPARC M7.ARM 6Core 2 Duo Wolfdale 3MCore 2 Duo AllendaleR40002008AtomARM Cortex-A9AMD K6Pentium ProPentium199220102012ARM7001994SA-110Apple A12X BionicTegra Xavier SoC888 Qualcomm Snapdragon 8cx/SCX8180HiSilicon Kirin 920rin 980+ Apple A12 BionicHiSilicon Kirin 71010-core Core i7 Broadwell-Qualcomm SnapdragoDual-core GPU GT2 CoreQuad-core GPUQuad-coreBroadwell-U2 Core i7 Skylake KGPU Core i7 HaswellApple A7 (dual-core ARM64 &#34;mobile SoC&#34;)2014Pentium 4 NorthwoodPentium 4 WillamettePentium II Mobile Dixon,AMD K7AMD K6-Pentium IIKlamathAMOKS1996Licensed under CC-BY-SA by the author Max Roser.201632-core AMD Epyc•Data source: Wikipedia(https://en.wikipedia.org/wiki/Transistor_count)The data visualization is available at OurWorldinData.org. There you find more visualizations and research on this topic.19982018Pentium KatmaiPentium D Presler POWERSItanium 2 Madison 6MPentium D SmithfieldItanium 2 McKinleyPentium 4 Prescott-2MOAMD KB Pentium 4 PrescottBartonPentium III TualatinPentium III Coppermine20008-core Xeon Nehalem-EXSix-core Xeon 7400,Dual-core Itanium 20Our Worldin Data2002IBM 213 Storage Controller,18-core Xeon Haswell-E5Xbox One main SoC.61-core Xeon Phi12-core POWER200472-core Xeon Phi Centriq 2400 GC2 IPUSPARC M72006Core i7 (Quad)AMD K10 quad-core 2M L3Core 2 Duo Wolfdale2 Duo ConroeAtom2008Core 2 Duo Wolfdale 3MCore 2 Duo AllendalePentium 4 Cedar MillARM Cortex-A98201020120201432-core AMD EpycApple A12X BionicTegra Xavier SoCQuad-cQuad-core +Apple A7 (dual-core ARM64 &#34;mobile SoC&#34;)Qualcomm Snapdragon 8cx/SCX8180HiSilicon Kirin 980+ Apple A12 BionicHiSilicon Kirin 71080-core Corg 17 BroadwGPU Ins Core i7 Broadwell-U+GPU GT2 Core i7 Skylake KDual-core i7 Haswell2016Ourin Data2018Licensed under CC-BY-SA by the author Max Roser. Solve the problem below. Copy the description of your forecast in the box below and include thatas part of your initial Discussion post in Brightspace. Using &#34;copy&#34; from here in Mobius and&#34;paste&#34; into Brightspace should work.Hint: The chart is taken from https://ourworldindata.org/technological-progress.From the chart, estimate (roughly) the number of transistors per IC in 2018. Using yourestimate and Moore's Law, what would you predict the number of transistors per IC to bein 2040?In some applications, the variable being studied increases so quickly (&#34;exponentially&#34;) that aregular graph isn't informative. There, a regular graph would show data close to 0 and then asudden spike at the very end. Instead, for these applications, we often use logarithmic scales. Wereplace the y-axis tick marks of 1, 2, 3, 4, etc. with y-axis tick marks of 10¹ - 10, 10² = 100, 10³= 1000, 104 = 10000, etc. In other words, the logarithms of the new tick marks are equally spaced.Technology is one area where progress is extraordinarily rapid. Moore's Law states that theprogress of technology (measured in different ways) doubles every 2 years. A common examplecounts the number of transitors per integrated circuit. A regular y-axis scale is appropriate when atrend is linear, i.e. 100 transistors, 200 transistors, 300 transistors, 400 transistors, etc. However,technology actually increased at a much quicker pace such as 100 transistors,. 1,000 transistors,10,000 transistors, 100,000 transistors, etc.The following a plot of the number of transistors per integrated circuit over the period 1971 -2008 taken from https://ourworldindata.org/technological-progress (that site contains a lot of data,not just for technology). At first, this graph seems to show a steady progression until you lookcarefully at the y-axis it's not linear. From the graph, it seems that from 1971 to 1981 thenumber of transistors went from about 1,000 to 40,000. Moore's Law predicts that in 10 years, itwould double 5 times, i.e. go from 1,000 to 32,000, and the actual values (using very roughestimates) seem to support this.

Accepted Answer

According to the question,