When Stephen Hawking said out loud at the Web Summit technology conference in Lisbon, Portugal, a few years ago that artificial intelligence, or AI, can be “a good servant as well as a bad master”, it caused a bit of a shock. Not because the brilliant scientist spoke out of turn, but because he just said what many, not just the general public, fear.
Artificial intelligence, yes or no?
Hawking said that humanity will most likely reach a point where artificial intelligence will be completely self-sufficient. In this context, after nuclear weapons and other horrific advances of war, it may be one of the worst, if not the worst nightmare ever faced by man.
However, many experts say that this is an outline of the most catastrophic scenario, which may not actually happen. And in the same breath, they also highlight where we currently encounter machine learning without fully realizing its benefits. It is, for example, in automotive, medicine, cosmonautics, etc.
And now, as the New Scientist server informs, even in the toilet. Yes, we know. It sounds bizarre, absurd and strange, but it is true. Maia Gatlin and a team of scientists from the Georgia Institute of Technology collected 350 audio recordings from toilets with the generous help of YouTube and Soundsnap databases. From this, they selected four types of excretion: standard, diarrhea, urination and wind (farting, burping).
New AI technology determines the type of softening
They then used their own artificial intelligence for “training”, which was then supposed to determine what kind of excretion it was based on the sounds. It can be seen from the implementation output of the scientists that the AI was able to determine the diarrheal disease with an accuracy of 98%. It is said to be a milestone because the discovery could help monitor possible outbreaks of more serious diseases, such as cholera.
But it doesn’t end there. The team also created a special box that can be placed directly on toilets, and it is a so-called diarrhea detector. Hardware in combination with artificial intelligence processes the signal based on relaxed sounds, which it immediately evaluates. Well, against my taste…
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