Technology

41 Interesting Facts About Tesla Motors

Published

8 years ago

September 29, 2016

Jeff Desjardins

For investors, Elon Musk is a polarizing figure.

He clearly sees the big picture and has started multiple companies that could be considered to be extremely successful by almost any set of criteria: Paypal, Tesla Motors, SpaceX, and Solar City are all valued at over $1 billion – an impressive feat, to be sure.

Musk also continually aims to bring us game-changing technologies that will improve society. The Hyperloop, Gigafactory 1, and a colony on Mars are just some of his recent ideas or contributions. Like them or hate them, they are bold and audacious plans. That’s just something we don’t see enough of these days.

By the same token, Elon Musk often gets ahead of himself. He sees things so well in advance that his projections and goals often don’t end up being grounded in reality. For example, the WSJ has reported here that Tesla failed to meet more than 20 of his projections, missing ten of them by nearly a year on average.

These types of misses don’t sit well with investors, some of who already think the stock could be overvalued. After all, despite the optimism around future prospects for Tesla Motors, the company has technically lost $2.5 billion since inception.

41 Interesting Facts About Tesla Motors

Regardless of where a person stands on Tesla and Elon, the story remains downright fascinating for many reasons.

The following infographic comes to us from Jennings Motor Group, and it covers 41 facts on the company as well as Elon Musk – the driving force behind the company.

41 Interesting Facts About Tesla Motors

Related Topics:tesla motors tsla elon musk spacex

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Technology

Visualizing AI Patents by Country

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

Published

7 hours ago

April 24, 2024

Marcus Lu

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.

Year	China	EU and UK	U.S.	RoW	Global Total
2010	307	137	984	571	1,999
2011	516	129	980	581	2,206
2012	926	112	950	660	2,648
2013	1,035	91	970	627	2,723
2014	1,278	97	1,078	667	3,120
2015	1,721	110	1,135	539	3,505
2016	1,621	128	1,298	714	3,761
2017	2,428	144	1,489	1,075	5,136
2018	4,741	155	1,674	1,574	8,144
2019	9,530	322	3,211	2,720	15,783
2020	13,071	406	5,441	4,455	23,373
2021	21,907	623	8,219	7,519	38,268
2022	35,315	1,173	12,077	13,699	62,264

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.