Current chip technology uses billions of small electronic components called transistors to do the computation we are all used to. From self-driving cars to watching the latest cat videos on YouTube, all is done on the same horde of transistors. However, we reached the limit of how many of those transistors we can place on...
Everyone in the field of Artificial Intelligence knows what neural networks are. And most practitioners know the huge processing power and energy consumption needed to train pretty much any noteworthy neural network. That is to say, for the field to develop further, a new type of hardware is needed.
And since, in the natural world, even flowers are using a form of memristive behaviour to adapt and react it becomes even clearer why the interface between the natural world and the digital world will be similar.
This article is meant to inform common people, investors and anyone interested, about what Artificial Intelligence really is and how to see beyond the beautiful lies of the A.I. industry, while also making a statement about how the huge amounts of money poured in technologies without clear industrial potential may put A.I. on its way...
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