What do you understand by fuzzy logic?

Fuzzy logic is a method of encoding human learning for AI. It imitates the decision making process of humans through IF-THEN instances and the digital values of YES and NO. It is based on degrees of truth. Dr. Lotfi Zadeh of the University of California at Berkeley was the first person to put forth the idea of fuzzy logic.

In Hidden Markov Model, how does the state of the process is described?

The state of the process in HMM’s model is described by a ‘Single Discrete Random Variable’.

Which programming language is used for AI?

Below are the top five programming languages that are widely used for the development of Artificial Intelligence:

Python
Java
Lisp
R
Prolog
Among the above five languages, Python is the most used language for AI development due to its simplicity and availability of lots of libraries, such as Numpy, Pandas, etc.

What is future of Artificial intelligence?

Artificial Intelligence is used by one another after the company for its benefits. Also, it’s fact that artificial intelligence is reached in our day-to-day life. Moreover, with a breakneck speed. On the basis of this information, arises a new question: Is it possible that artificial Intelligence outperforms human performance? If yes, then is it happens and how much does it take? Only when Artificial Intelligence is able to do a job better than humans.

List down some of the best AI software platforms?

Following are the best AI software platforms:

Tensor Flow
Azure Machine Learning
Ayasdi
Playment
Salesforce Einstein
Cloud Machine Learning

Explain Goal of Artificial Intelligence?

To Create Expert Systems it is the type of system in which the system exhibit intelligent behavior, and advice its users. b. To Implement Human Intelligence in Machines It is the way of creating the systems that understand, think, learn, and behave like humans.

What are the different software platforms for AI development?

Google Cloud AI platform
Microsoft Azure AI platform
IBM Watson
TensorFlow
Infosys Nia
Rainbird
Dialogflow

What are benefits of Expert Systems?

a. Availability
Due to mass production of software, expert systems are easily available.
b. Less Production Cost
As production cost of an expert system is reasonable. Thus, it makes them affordable.
c. Speed
Generally, expert systems offer great speed. Also, reduce the amount of work that an individual puts in.
d. Less Error Rate
Generally, an error rate of the expert system is low in comparison to human errors.
e. Reduced danger
They can be used in any risky environments where humans cannot work with.
f. Permanence
The knowledge will last long indefinitely.
g. Multiple expertise
Generally, it can be designed to have knowledge of many experts.
h. Explanation
They are capable of explaining in detail the reasoning that led to a conclusion.

Give a brief introduction to robotics?

Basically, robots have their specific aim. As they manipulate the objects. For Example- by perceiving, picking, moving, modifying the physical properties of an object.
What are Robots?
Generally, robots are the artificial agents acting in the real world environment. Robotics is a branch of Artificial Intelligence. That is composed of Electrical, and Mechanical Engineering. Also, Computer Science for designing, construction, and application of robots.

What is Iterative Deepening Depth-First Search Algorithm?

To perform this search we need to follow steps. As it performs the DFS starting to level 1, starts and then executes a complete depth-first search to level 2. Moreover, we have to continue searching process till we find the solution. We have to generate nodes till single nodes are created. Also, it saves only stack of nodes. As soon as he finds a solution at depth d, the algorithm ends, The number of nodes created at depth d is bd and at depth d-1 is bd-1.