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 In the early results, the machine learning agent was doing well but later when it was asked to do the reverse process of reconstructing aerial photographs from street maps it showed up information which was eliminated in the first process, TechCrunch reported.For instance, skylights on a roof that were eliminated in the process of creating a street map would reappear when the agent was asked China underwear machine Manufacturers to reverse the process.It was discovered that the agent didnt really learn to make the map from the image or vice-versa. It learned how to subtly encode the features from one into the noise patterns of the other.Although it may seem like the classic example of a machine getting smarter, it is in fact the opposite of that. In this case, the machine is not smart enough to do the difficult job of converting image types found a way to cheat that humans are bad at detecting.Artificial Intelligence — this was something that was vague a few years ago.

 No one knew what it really meant. No one knew what it really did. But 2018 saw a boost of artificial intelligence in almost everything — from speakers to air conditioners, smartphones to cars. With AI and ML (Machine Learning) hand-in-hand, things can be automated to glory, without much human intervention.Today we use AI everywhere — from common home appliances such as smart vacuum cleaners that automatically clean the surroundings and charge themselves, to driverless cars that ride you to your destiny at the push of a button. And from smartphones that can automatically detect the frame and do some sorcery to get the best image from a puny sensor to smart speakers and android robots that can communicate with you like another human being. While these seem to be something that we look forward to getting better and flawless technology in the future, there are a few AI areas that could be equally dangerous to mankind in future.

AI is a set of instructions that is born from algorithm. While the instruction is at no fault, the algorithm is the main culprit. Confused? AI works on algorithm and gives an output with a set of commands after processing the input. For example, ask Siri, Google Assistant or Alexa for the time. It processes the voice input, crunches the audio into data using a set of algorithms that it needs to convert voice commands into data commands. If then crunches the data into an output, and then gives out the answer through the speaker, using an artificial pre-recorded voice. Same goes for an auto-pilot mode in an airplane or a self-driving car. It grabs information from cameras, sensors and a lot of other inputs to know the way ahead and steer around to its destination.