The human brain is an organ with extreme complexity, the object of ultimate intellectual egocentrism, and a source of endless scientific challenges. At the basic functional level, the objective of many scientific researches is to understand the function as a result from the interaction of about 86 billion neurons with 100 trillion connections.

Deep Learning: A primitive form of how the human brain works

When a toddler holds, feels, or sees an object for the first time - for example a ball - his brain will work faster than the speed of light to connect the existing data, then build the data sets as new data.

At first the brain will only store basic geometrical shapes, such as dots,lines, directions, lighting,and surfaces, besides fragrance and taste of an object. Every spot in the neuron will keep the information in different data spot.

During his first observation as a toodler, the brain will work faster than the speed of light and connect available data. After that, it will construct the data sets into new data.

This new data is not just the shape of the a ball. Each data connection process will also be stored separately, whether it is a curved line data, sphere segments, surfaces, including lighting. This data will be used again every time he recognizes a new form.

Deep Learning

Deep Learning is a development model of information technology that takes shape, pattern on how the human brain works as above. It is still very primitive, of course, when compared to the complexity of how neuron cells work connected, including the limited speed of a computer to process computation and data storage space.

Although it is primitive, this progress will change many things in the future, whether it is an interaction between humans or between objects themselves.

As a simple example, starting with Artificial Intelligence (AI) and 5G technology, we are introducing a new drone car.

The development of AI, resulted in a new process called Machine Learning. This means that the passenger-less car can send a message to the owner that he does not park in the usual place before.

This Machine Learning technology eventually developed into Deep Learning, allowing this passenger-less vehicle to interact further. For example, sorry I can't start the engine because you are not someone I know. Or, today, you should not drive me because your temperature today is a little bit different than usual.

This is not a fictional story, and the technology already exists today. The question from this technological development is:

Will this technology enslave humans, or is it a tool for human welfare?

Hope this helps,
Melbourne, July 21, 2020


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