Google's Inceptionism project involves training artificial neural networks to produce accurate outputs that mimic human answers. This particular project trains computer brains to read images. However, what they have unlocked goes far beyond human sight into a world of floating deities and labyrinths made from eyes.

A primer for the artificial visualization phenomena for those who missed the internet hype.

Jon Rafman's project 9eyes displays the accidental aesthetic decisions made by machines. Rafman sorts and aggregates Google Image Data on to an ephemeral Tumblr feed performing the monotonous labour of sifting through endless streams of data that is synonymous with the digital age.

Jon Rafman's project 9eyes displays the accidental aesthetic decisions made by machines. Rafman sorts and aggregates Google Image Data on to an ephemeral Tumblr feed performing the monotonous labour of sifting through endless streams of data that is synonymous with the digital age.

Emojitracker ranks emoji use on twitter in real time. The most popular emoji appear at the top of the window and flash green each time they’re used in a tweet. The viewer can also see a feed of all the tweets containing a particular emoji by clicking on its listing drill down.

“Emoji Tracker” by Matthew Rothenberg

Definitive Guide On Finding Your True Contemporary Curator Soulmate.

Definitive Guide On Finding Your True Contemporary Curator Soulmate

One Mistake Fooled an Entire Nation About Who Would Be President

You are only a few clicks away to finding your match

Which Cultural Institution Should You Work For?

You are only a few clicks away to finding your match

The hidden labour of Machine Vision is revealed in Sebastian Schmeig's Segmentation.network. The project includes over 600.000 segmentations, manually created by Turkish crowd workers for Microsoft's COCO image recognition dataset. Workers taught computers to see common objects in complexly composed images by labelling and outlining images from Flickr. Up to 70,000 worker hours were recorded by the completion of the data set.

The hidden labour of Machine Vision is revealed in Sebastian Schmeig's Segmentation.network. The project includes over 600.000 segmentations, manually created by Turkish crowd workers for Microsoft's COCO image recognition dataset. Workers taught computers to see common objects in complexly composed images by labelling and outlining images from Flickr. Up to 70,000 worker hours were recorded by the completion of the data set.

Korakrit Arunanondchai stares deeply into the eyes of a drone in his exploration of the overlapping worlds of the spiritual and the digital titled "Painting with history in a room filled with people with funny names 3." Follow the link to Microsoft's latest AI: Caption Bot, a perfect example of Machine Vision and the Cyborg Curator.

Korakrit Arunanondchai stares deeply into the eyes of a drone in his exploration of the overlapping worlds of the spiritual and the digital titled "Painting with history in a room filled with people with funny names 3." Follow the link to Microsoft's latest AI: Caption Bot, a perfect example of Machine Vision and the Cyborg Curator.

Today online curatorial projects have developed new methods of selection and filtering, both or which are fundamental aspects of curatorial practice. Significantly the digital medium using hashtags allows for increased public involvement in the curation of content. Web 2.0 and the rise of social media websites has democratised the practice of curating. This complex and increasingly colossal collaborative exchange is also a fundamental part of contemporary artistic production.

Today online curatorial projects have developed new methods of selection and filtering, both or which are fundamental aspects of curatorial practice. Significantly the digital medium using hashtags allows for increased public involvement in the curation of content. Web 2.0 and the rise of social media websites has democratised the practice of curating. This complex and increasingly colossal collaborative exchange is also a fundamental part of contemporary artistic production.

Curating artworks using hashtags is problematic as hashtag attribution may be inaccurate and illogical. The subsequent popularity of the image cannot be ascribed to the image’s content and social context. Interpretation, chance and randomness also needs to be addressed in the hash tagging process. Saskia presents a selection of her Instagram images based on the amount of ♥ clicks as a result of hashtags.

Curating artworks using hashtags is problematic as hashtag attribution may be inaccurate and illogical. The subsequent popularity of the image cannot be ascribed to the image’s content and social context. Interpretation, chance and randomness also needs to be addressed in the hash tagging process. Saskia presents a selection of her Instagram images based on the amount of ♥ clicks as a result of hashtags.

Instagram uses hashtags # to aggregate, organize, optimize and categorize its vast collection of photographic and video content.These complex online processes have had fundamental consequences for curatorial practice. According to Anne-Marie Schleiner, the curator has become a filter feeder in a digitally networked culture.

Instagram uses hashtags # to aggregate, organize, optimize and categorize its vast collection of photographic and video content.These complex online processes have had fundamental consequences for curatorial practice. According to Anne-Marie Schleiner, the curator has become a filter feeder in a digitally networked culture.

How Much Do You Really Know About Curating?

How Much Do You Really Know About Curating?

A preference algorithm that test your knowledge of curating

How Much Do You Really Know About Curating In The Arts?

How Much Do You Really Know About Curating In The Arts?

An online magazine with resources and articles relating to Sunday services.

Which curator is your curating soul mate.

Which curator is your curating soul mate?

art museum curators despite that it s still pretty funny

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