Analyzing the Data of a Brain.

In the last few days, I have been learning Machine Learning with the help of TensorFlow. Python is a very easy computer Language, and essential in so many fields. Data Analytics is one single part of Machine Learning, and man, is it tough! At the same time, it is also very interesting to see data streams being analyzed in such a way.

While Labels are a very different debate topic, the real reason behind developing Data Sciences is to make a machine equivalent of a human, a machine that can control itself. This machine can think for itself, contribute to the society, and increase the efficiency of everything. These machines have the capability to either send the world into Dystopia, or really help the masses who cannot help themselves.

In the current times when people do not want to label themselves, their relationships or even their things, Data Scientists all over the world are trying to give labels to all different kind of things. They want to qualitatively label the e-mails we receive as spam or not spam, they want to quantitatively label our houses by their net worth, even the celebrities and VIPs by their net-worth and Marketability. Yes, that is a real thing. Humans are being compared to money and assets everyday. They are being analyzed like an open book, as they are, or as the image portrayed by them.

All our thoughts are labelled in our brain. And that depends on the decisions we make for ourselves. We also change the features of the label constantly. The brain keeps learning everyday. The brain then acts on these learned features to give labels to all stimuli. The brain senses the stimuli, labels it and commands the body to act accordingly.

Every thought in our brain is labelled.

Some of these labels include: Good, Bad, Happy Sad, Depressing and so on. A machine cannot use these labels. Because it isn't smart. The only labels it can use are: Productivity and labels depending on sensor data viz. temperature, pressure, length, depth, colours, etc. It uses this data to be smart in production activities, chores and work. You cannot tell a machine to sit and think about feelings. A machine does not have a human relationship with anything. It can have a relationship with a human of the type where a human commands it to do some work, and it does the work depending on authorization. It has a relationship with other machines of the type where it exchanges data constantly.

But what do humans do in human-relationships?

They exchange Data. Yes, that is all we do, apart from other physical activities. We exchange the data about our thoughts and feelings.

What if we could teach a machine to exchange data of this sort? Will humanization of machines lead us into a better world? How will it help us in different domains?

1. Production Technology:

It is no news that production technology is ever changing, ever evolving. The pace is faster than ever. New models of production line and technology comes into effect everyday. There are no specific rules. Innovation rules the world of production technology. The exchange of data between machines arrived in the domain of production technology with the onset of fourth industrial revolution. The Cyber Physical Systems and sensors were developed for this particular application. The decision taken by machine is framed by Machine Learning. The machine learns with Data Analytics. The machines communicate with each other over the Cloud. Each machine becomes it's own brain. The load on this brain aside, machines have the capability to take over the job market in revolutionized companies. These machines know where to ship the finished goods and where to procure the raw material. Very soon, manual ordering and inventory processes will be benign.

2. Medical Science:

Medical technology is essential, and new procedures come into light everyday. Minimally invasive procedures have revolutionized the patient care in hospitals. Not just surgical and dental equipment, these days, robots are trained to perform all kinds of surgeries. Robots are trained for various complications in surgeries too. Not only that. The Sci-fi television and movies are constantly full of ideas for futuristic patient care.

3. And many more:

The thought exchange technology is not limited to Medical and production activities. Buildings can be built. Police force and firefighting will be revolutionized. Army and defense systems will have an application to such a technology

Instead of Humans being the machines who do the same job everyday, Machines will become the workforce.