Extremophile –how economic are they?

The biggest problem with self driving vehicles is that the perfect model is yet to show up.

So far, what we have are prototype and hope.

Well, that may sound promising but what about money?

They are not going to get built on their own.

You need a large sum of money for research and development and also t pay all the people involved in it.

Let’s have a look at how Extremophile — self driving metro can affect the economy.

1. Drivers

A chunk of money is spent on paying the drivers. And humans are bound to make mistakes.

A lot of time is invested to train the driver, and if they quit, you need to find new driver and then train them again.

The process is tedious and time consuming.

2. Maintenance

Who is looking after the possible maintenance?

Should we expect the driver to know the technical details of the metro too?

Can we expect them to act and take possible actions if anything happens?

Will they be able to fix it in time?

3. Initial cost

As I said, self driving vehicles aren’t easy to build.

So the initial cost would be huge, but once it is complete, we can rest assure that the cost following it would be cheaper.

Once the machine gains enough experience through machine learning, it can share the date with other machines.

4. New opportunities

It will open door to new realm of opportunities and encourage the field of self driving vehicles and deep learning.

Deep learning and machine learning are one of the most promising fields and they are capable enough to shape the future.

5. A whole new world

Relying on Extremophile would mean recruiting people of some different set skills.

Now they may have to rely on individuals who are capable of understanding and handling such technologies. It would shape the overall metro building sector.

It would be way more sophisticated than ever before.