http://news.discovery.com/tech/apps/superhuman-a-i-can-locate-any-image-160226.htm
"Computer vision specialist Tobias Weyand and his colleagues at Google created a deep-learning program called PlaNet, and trained it to identify locations where photos were taken based on visual cues.
Putting the Art in Artificial Intelligence: Photos
Imagine the ultimate game of “Where in the World is Carmen Sandiego?” Only way harder. The Googlers started by dividing up the globe into a grid, excluding the oceans and polar regions. Then they created a database for PlaNet that contained 126 million geolocated photos pulled from the Internet,
Technology Review reported.
Since PlaNet is an artificial neural network, it can learn. So the team taught the network how to identify a photograph’s location on the grid just using information contained in the pixels.
To test PlaNet’s accuracy, Weyand and his team fed it 2.3 million geotagged Flickr images. From there, PlaNet narrowed down 48 percent of them to the right continent, 28.4 percent to the right country, 10.1 percent to the right city, and 3.6 percent to the actual street."
The relevance of the above article to the current discussion is that artificial intelligence is now self-learning and improving at a high rate with visual pattern recognition algorithms, whereas in the past speed of processing and memory storage were AIs main advantages over human intelligence, which has been reflected in the drastic alteration in price action over the past ten years in financial markets at lower timeframes (and higher timeframes, with the markets being fractal) due to high frequency trading.
When, not if, AI's self-evolving with visual pattern recognition is implemented in the financial markets and combined with quantum-computer high-frequency trading, the inevitable result will be increased market efficiency and there will be no inefficiency left in the markets for non-technologically privileged market participants, i.e. human discretionary traders, especially at lower timeframes, where quantum speed combined with visual processing by AI will create oscillations in the market which will appear to inferior human intelligence and perception as either random or moving at such a speed that there is no possible way to impose order on such price movement for a day trader.
The process towards price action evolving in this direction has been accelerating in the past decade with HFT taking over a majority of the volume on the index futures markets and will only continue in the decades to come. Casino slot machines will soon look like a much more inefficient and thus exploitable alternative to the financial markets at time frames day traders trade off of.
