Post by account_disabled on Feb 22, 2024 0:20:35 GMT -5
Look at one of the results below, obtained by the author when testing with the word "happiness" ("happiness"). Learn more about cultural differences: Image Atlas Image Atlas Image Atlas is another interesting rendering experiment that explores cultural differences as well as similarities by reflecting the top image search results for a specific keyword from 57 countries. Comparisons between countries can be sorted alphabetically or by GDP (gross domestic product). A prerequisite for the project is that the words (i.e. search keywords) have a cultural context. Searching for "prayer" for Spain will give you different results than it will for India or any other country. Image Atlas takes your request and displays a horizontal row of thumbnail images matching those words from countries around the world. Image search results are also likely to change over time as the world changes. Image Atlas is a collaboration between Aaron Swartz,
An Internet activist and programmer, and photographer Taryn Ecuador WhatsApp Number Simon. Here's a NY Times article talking about this imaging experiment. Google Image Search Like Art: I'm Google Google Image Search as art Dina Kelberman is an artist from Baltimore. She created a working collage of similar Google Image Search images on a Tumblr blog. She calls it "long stream of consciousness." One photo (or video) leads to another based way to the next. Most of the images are on general topics. Dina Kelberman says she is “obsessed with Google Image search and finds the photographs she collects to be beautiful, although they may not be aesthetically pleasing. Individuted just how many different ways the technology can be used beyond the obvious. You may not be able to "use them" right ah engine called Shodanhq , which is deservedly called "Google for hackers", has passed.
The official legend says that at the beginning of the zeros, a young enthusiastic programmer John Motherly decided to create a system of programs that would allow to learn in real time information about the technical and some software features of any device, be it a desktop computer or a server that serves huge industrial facilities. Gradually, several friends joined the lone enthusiast. As a result, in 2009, they launched a new search engine on a hard drive connected to the Internet. The general principle of the search engine is as follows. It automatically identifies the IP addresses of devices, connects to them and tries to take, figuratively speaking, "fingerprints", including the type of device, networks associated with it, location, software that is on the device, various exploits and vulnerabilities, contained in the software. To date, according to official data, the search engine has collected data on more than 200 million devices. In three years, he discovered an incredible number of vulnerabilities in a variety of systems,
An Internet activist and programmer, and photographer Taryn Ecuador WhatsApp Number Simon. Here's a NY Times article talking about this imaging experiment. Google Image Search Like Art: I'm Google Google Image Search as art Dina Kelberman is an artist from Baltimore. She created a working collage of similar Google Image Search images on a Tumblr blog. She calls it "long stream of consciousness." One photo (or video) leads to another based way to the next. Most of the images are on general topics. Dina Kelberman says she is “obsessed with Google Image search and finds the photographs she collects to be beautiful, although they may not be aesthetically pleasing. Individuted just how many different ways the technology can be used beyond the obvious. You may not be able to "use them" right ah engine called Shodanhq , which is deservedly called "Google for hackers", has passed.
The official legend says that at the beginning of the zeros, a young enthusiastic programmer John Motherly decided to create a system of programs that would allow to learn in real time information about the technical and some software features of any device, be it a desktop computer or a server that serves huge industrial facilities. Gradually, several friends joined the lone enthusiast. As a result, in 2009, they launched a new search engine on a hard drive connected to the Internet. The general principle of the search engine is as follows. It automatically identifies the IP addresses of devices, connects to them and tries to take, figuratively speaking, "fingerprints", including the type of device, networks associated with it, location, software that is on the device, various exploits and vulnerabilities, contained in the software. To date, according to official data, the search engine has collected data on more than 200 million devices. In three years, he discovered an incredible number of vulnerabilities in a variety of systems,