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The Supercomputer In Your Pocket

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The Supercomputer in Your Pocket

The Supercomputer in Your Pocket

We have mentioned here many times that the exponential rise in technology creates unprecedented opportunities for investors. Smaller and faster computers have led to emerging fields such as big data, the internet of things, cybersecurity, and the mobile payments revolution.

It all stems from Moore’s Law, which is based on observations made as early as 1965 by Gordon E. Moore, the co-founder of Intel. Moore suggested that the number of transistors in a dense integrated circuit would double approximately every two years, creating an exponential rise in computing potential.

However, for many this whole “exponential” thing is hard to wrap our heads around. Most of our daily observations are on a linear level, meaning that relationships hold true at a fixed rate. For example, if one wishes to bake a chocolate cake that is twice the size as a given recipe, the ingredients are to be doubled. If one is buying three cartons of milk from the grocery store, the cost will be three times higher.

Exponential Growth

Here’s an example of an exponential situation that just doesn’t feel intuitive. For the full version, which is worth reading, go to Peak Prosperity as they explain the compounding problem. Otherwise I will paraphrase:

Imagine that you are in Fenway Park, that the stadium is watertight, and you are handcuffed to the very highest bleacher seats. Meanwhile a drop of water is dropped on the pitcher’s mound, and the amount of water dropping will double every minute. How long do you have to escape from the handcuffs before drowning? Minutes, hours, days, years?

The answer turns out to be 49 minutes. Even more interesting is that most people wouldn’t be aware of how dire the situation until about 45 minutes, when the stadium is about 7% full of water and about to double yet again.

This example illustrates exponential growth. Applied to technology, it means that even though we have seen big advances over the last few decades with the emergence of personal computers, smartphones, and even smaller connected devices, the best is still yet to come.

Quantum computing and general artificial intelligence are approaching us faster than we may know.

Original graphic by: Fonebank

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Visualizing AI Patents by Country

See which countries have been granted the most AI patents each year, from 2012 to 2022.

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Visualizing AI Patents by Country

This was originally posted on our Voronoi app. Download the app for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.

This infographic shows the number of AI-related patents granted each year from 2010 to 2022 (latest data available). These figures come from the Center for Security and Emerging Technology (CSET), accessed via Stanford University’s 2024 AI Index Report.

From this data, we can see that China first overtook the U.S. in 2013. Since then, the country has seen enormous growth in the number of AI patents granted each year.

YearChinaEU and UKU.S.RoWGlobal Total
20103071379845711,999
20115161299805812,206
20129261129506602,648
20131,035919706272,723
20141,278971,0786673,120
20151,7211101,1355393,505
20161,6211281,2987143,761
20172,4281441,4891,0755,136
20184,7411551,6741,5748,144
20199,5303223,2112,72015,783
202013,0714065,4414,45523,373
202121,9076238,2197,51938,268
202235,3151,17312,07713,69962,264

In 2022, China was granted more patents than every other country combined.

While this suggests that the country is very active in researching the field of artificial intelligence, it doesn’t necessarily mean that China is the farthest in terms of capability.

Key Facts About AI Patents

According to CSET, AI patents relate to mathematical relationships and algorithms, which are considered abstract ideas under patent law. They can also have different meaning, depending on where they are filed.

In the U.S., AI patenting is concentrated amongst large companies including IBM, Microsoft, and Google. On the other hand, AI patenting in China is more distributed across government organizations, universities, and tech firms (e.g. Tencent).

In terms of focus area, China’s patents are typically related to computer vision, a field of AI that enables computers and systems to interpret visual data and inputs. Meanwhile America’s efforts are more evenly distributed across research fields.

Learn More About AI From Visual Capitalist

If you want to see more data visualizations on artificial intelligence, check out this graphic that shows which job departments will be impacted by AI the most.

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