AI News, #karnaai hashtag on Twitter artificial intelligence
Facebook is using billions of Instagram images to train artificial intelligence algorithms
Your Instagram photo of a perfectly composed plate of pancakes or an exquisitely framed sunset is helping Facebook train its artificial intelligence algorithms to better understand objects in images, the company announced today at its annual F8 developer conference.
If a person hasn’t spend the time to label something specific in an image, even the most advanced computer vision systems won’t be able to identity it,” Mike Schroepfer, Facebook’s chief technology officer, said onstage at F8.
Because it owns and operates such a large platform encompassing billions of users across apps like Instagram, WhatsApp, and Messenger, Facebook has access to extremely valuable text and image data it can use to inform its AI models, so long as that text and those images are posted publicly.
In addition to 20,000 new human moderators for its platform, Facebook is increasingly looking to automation as it grapples with Russia election interference, the Cambridge Analytica data privacy scandal, and other hard questions about how to moderate content on its platform and keep bad actors from abusing its tools.
Visual Analytics of Instagram’s #gopro hashtag with AI
These AI algorithms can actually make sense of what the content of the image is (for instance, it can see that the image contains dogs or cats or an apple) and even asses various quantities for us (Microsoft recently released a demo where they could estimate the age of the person in the image).
The output, for example can tell what all objects are present in the image, how many humans in the image along with their age and emotions, if the image is taken outside or indoors and even the relationship among the objects in the image (for instance, it can recognize a human and a frisbee in the image and can also recognize that the human is throwing a frisbee and not the other way around).
Emotion: happiness Tags: [“indoor”, “table”, “cake”, “sitting”, “top”, “decorated”, “birthday”, “pink”, “girl”, “food”, “plate”, “topped”, “small”, “front”, “little”, “woman”, “bed”, “desk”, “holding”, “white”, “young”, “large”, “standing”, “bear”, “room”, “phone”] Talking of images, Instagram is probably the largest social media platform dedicated entirely for featuring images tagged with one or the other hashtags.
The remaining tags are arranged in the following word cloud (the size of the word corroborates with the frequency of tag in the images) Judging by the tags we have assembled, it is quite evident that most of the images are taken outdoors either in the vicinity of natural offerings like ocean, grass, rivers, mountains or doing outdoor sporty activities.
If the only tool you have is Artificial Intelligence, treat everything as if it were a prediction!
will always remember my encounter with the writer and cultural icon Susan Sontag, largely because it was on the same day that I met the great Benoit…
Tay war ein Chatbot mit künstlicher Intelligenz, der ursprünglich von der Microsoft Corporation entwickelt wurde und am 23.
Er verursachte nachfolgend eine öffentliche Kontroverse, als der Bot anfing, anzügliche und beleidigende Tweets durch sein Twitter-Konto bekanntzugeben, was Microsoft zwang, den Dienst nur 16 Stunden nach seinem Start wieder abzuschalten.
März 2016 wurde eine zweite Version von Tay veröffentlicht, welche allerdings auch mit Problemen zu kämpfen hatte und noch schneller als die erste Version abgeschaltet wurde.