Which of the following is are correct about the principles and applications of the artificial intell...........

Science (CSC) Science & Technology

Which of the following is/are correct about the principles and applications of the artificial intelligence in today’s world?

1. Machine learning algorithms are developed in such a way that it can evolve and modify itself with increasing variation in the data and its patterns.

2. Artificial Intelligence can be applied to get the projected forecast of the weather and climate based on the historical pattern.

3. Advancement of the field of artificial intelligence has reduced the burden of processors since the data required by the machine learning algorithms are manifold lesser than normal algorithms.

Select the correct answer using the following code:

1 and 2 only

1 and 3 only

2 and 3 only

1, 2, and 3

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Explanation:

Arti fi cial Intelligence :

It is a branch of computer science that deals with creating computers or machines as intelligent as human beings.
It refers to the ability of the machines to perform human intelligence processes like thinking, perceiving, learning, and problem-solving and decision making.
Thus in simple terms, Artificial Intelligence is the intelligence showed by machines.
The term Arti fi cial Intelligence was coined by John McCarthy in 1956 at the Dartmouth conference, Massachusetts Institute of Technology (MIT).
There are two subsets under the Umbrella term AI, they are – Machine Learning and Deep Learning.
A subset of arti fi cial intelligence that deals with the creation of algorithms that can modify itself without human intervention to generate desired outputby feeding itself via structured data.
Machine learning algorithms are built to “learn” to do things by understanding labelled data, then use it to produce further outputs with more sets of data. However, they need to be retrained through human intervention when the actual output isn’t the desired one (errors).
Using the machine learning and deep learning the existing algorithm can evolve itself to learn the hidden and indirect trend in the past (historical) data and use it to give more accurate projection for the future such as weather and climate forecast.