Artificial Intelligence vs religions || Does Artificial Intelligence bring us closer together?

Artificial Intelligence vs religions

humans on the planet have faith in many gods/religion.
2.4 billions Adherents(which is 30% of the total population) are following Christianity religion,
1.9 billions Adherenets(which is 25% of the total population) are following Islam,
1.15 billion adherents(which is 16% of the total population) are following Hindusim
and there are many more religions which is followed by the rest of the
minor Adherents.

so there is no doubt religions have divided humans
into various adherents or group. And it is also the fact that each group/adherents are fighting each other in the name of religions as
they wanted to colonize the planet for their religion. There is a lot of terror,
dispute, suspicion, and violence on the planet in the name of religions.
And their madness
of colonizing the planet for their
religion is increasing day to day which results in a lot of terror and violence
among the people on the planet. And these religious terror and violence may lead
to a third world war which may end the planet or humanity.

Whereas new technologies such as artificial intelligence and machine learning
can make humanitarian work better, faster and more effective, but it requires
combine humans effort from all over the globe for development
of such technologies.

putting combined human effort in the area of development
of artificial intelligence can result singularity faster which may allow
us live longer or immortal life if all things are done in a controllable way...

so here working together for the development of technologies such as
artificial intelligence and machine learning bringing us together closer.

so humans(adherents) instead of fighting for religions may put their efforts/work in
developing technologies such as artificial intelligence and machine learning can
result in better, peaceful and immortal human life and of course gods wants their adherents
to maintain peace among them.

Comments

Self study vs coaching institute study | Why self study is better than coaching institute study

Especially in India around 95% students prefer to join tuition/coaching institute after they took admission in school and such type of students do all their work(such as solving any problem ,doing homework, preparing for any entrance exam and so on…) through their tuition/coaching institutes where as only 5% student prefer self study and they do all their work by themselves… Image by Pete Linforth from Pixabay Tuition/coaching institute students learn all their problem solving skills through teacher/coaching institute. And they have habit of solving only those problems which they have already been taught in their tuition/Coaching institute. They even don’t read books, Internet /Google to find the solution of their problem as they are totally dependent on their tuition/coaching teachers. Although they score 95% in exam but they are less creative and their self problem solving skills is very low. Such students are lazy and they only prepare themselves fo

What is Supervised Machine Learning? || Supervised Machine Learning techniques and algorithms.

What is Supervised Machine Learning? || S upervised Machine Learning techniques and algorithms. supervised machine learning supervised machine learning is one of the method of machine learning which uses various machine learning mathematical techniques to train the machine using data which is already labeled. someone can build supervised machine learning algorithms from labeled training data to predict the same. Some of the examples of supervised machine learning systems are self-driving cars, expert systems, facial recognition programs, chatbots and robots which support future judgments. following are the mathematical techniques that are used in building supervised machine-learning algorithms. 1) Linear Regression 2) Logistic Regression 3) Decision Tree 4) Random forest 5) support vector machine Linear Regression: The linear regression technique uses a linear mathematical formula/technique to predict the dependent variable or output value.

why human can not win War against artificial intelligence? || Human can't compete with Artificial Intelligence

why human can not win the war against artificial intelligence? || Human can't compete with Artificial Intelligence as we everybody know at the current time humans are the smartest and most intelligent living species on the planet. Human intelligence is much more as compared to other creature's intelligence. But does this mean human gonna remain No. 1 smartest and intelligent species on the planet forever? well, according to my opinion humans not goona remain No. 1 intelligent species on the planet forever. but it is also true that no other living intelligent species of the planet gonna lead(beat) human intelligence. If it is no so then who gonna lead human intelligence. And the answer is it's a neural network- a computer artificial intelligence program/complex algorithm who gonna lead(beat) human intelligence so easily. In fact, humans will be the only species who ended up themselves by their own invented/created computer program/Artificial Intelligence. Artif

JustTrustGyanu

Search This Blog