Technology

The Largest Hacks and Data Breaches in World History

Published

9 years ago

February 10, 2015

Jeff Desjardins

The Largest Hacks and Data Breaches in World History

View the awesome interactive version of this infographic at Information is Beautiful.

There has always been a fascination with the hacker – it is because the information era gives one person acting alone the capability to breach the security of the biggest corporations, banks, governments, or even celebrities. Movies such as War Games and Hackers brought the hacker to pop culture as far back as 1983, but we haven’t heard too much about hackers and the theft of data in the news until more recently.

It was finally in 2004 that it was brought to the forefront. A former America Online software engineer stole 92 million screen names and email addresses and sold them to spammers. This led to 7 billion unsolicited emails. However, data theft and hacks would continue to get much more frequent, and much more malevolent. Even stalwarts such as the US Military, AT&T, Ebay, Adobe, and Target would be affected.

Within the last year, a string of high profile cases have made waves. The Sony Pictures hack took over 100 terabytes of data, including unreleased films and scripts, sensitive business documents and emails, and social security numbers. Before that, malware installed on cash register systems across 2,200 Home Depot stores syphoned credit card details of up to 56 million customers. Even America’s biggest banks are not hack proof – criminals gained highest level administrative access to JP Morgan Chase’s most sensitive servers, and stole account information such as email addresses, phone numbers, names, and more.

The above infographic is accurate up to early February with the biggest hacks and breaches (by # of records stolen).

Related Topics:data visualization data breaches hacks hackers

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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

11 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.