He was an incredible, maybe unintentional, prescient of how the virtual world would change our real world and how, now and more and more in the future, is constantly changing the way we live and behave as human beings.
But the recipe was discovered: computational power, made of many interconnected machines which had access to a lot of data.
With the development of the LAN (Local Area Networks) and WAN (Wide Area Networks), thanks to the implementation of the TCP-IP protocol, computers started to interact among themselves, allowing not only to share data but even more important to share and/or aggregate computational power. This was the really very first “sharing economy” example. Since this first example, almost every business models has been affected and many new ones have surged out. But now we are going even further: engineers, programmers, architect, physicians, mathematic and so for have been struggling in designing computer networks which could emulate, if not even overcome, human brain. Now we have “neural networks”: a neural network is made up of many simple, highly interconnected processing elements that work “in concert”. But, conversely with most servers, pc’s or mainframe, each “single processing elements”, like a brain cell of our brain, takes in data, processes it based on its internal state and produces an output. It is a general-purpose machine, not a program intentionally constructed to carry out a particular task. It requires “to be trained”: without it, this single entity is just an empty slate. But as soon as it is trained, it starts to carry out impressive calculation with an efficiency and effectiveness which improve every time, just like our brain which helps up to do better any task as soon as we do repeat it! But in order to succeed, this intelligent network needs the most important thing: DATA. Exactly, DATA.