It's been more than sixty years since renowned scientists and mathematicians converged on the Dartmouth Summer Research Project on Artificial Intelligence to take part in a massive brainstorming session around artificial intelligence.
The non-apocalyptic promise of machine learning based applications of artificial intelligence states that technology will be able to know what we want, need or intend to say before we even say it. The examples you may already be familiar with is Facebook tagging your friends before you do, your phone offering an accurate set of words that match your grammatical style and Tagxit assigning a tag to your pictures before you do.
The last one is the latest in the machine learning landscape, an app that allows its users to categorize and tag their pictures in any way they want, in the same way we use hashtags. The difference here is that these tags serve as a point of interference to the system, correlating the qualitative and quantitative sentiments that the users attributes to the experience captured on camera. Unlike Snapchat, the app doesn't offer its users the ability to make or tag videos, focusing on pictures for now.
