Question 1

What are the goals of artificial intelligence?

Accepted Answer

The goals of AI research include reasoning, knowledge representation, planning, natural language processing, perception, learning, and problem-solving.

Question 2

What is the history of artificial intelligence?

Accepted Answer

The history of AI is often divided into periods known as the "classical era" (the 1940s-1950s), the "cognitive revolution" (1960s-1970s), and the "modern era" (1980s-present).

Question 3

What is the future of artificial intelligence?

Accepted Answer

The future of AI is often divided into two camps: those who believe that AI will lead to a utopia and those who believe that it will lead to a dystopia. The former group believes that AI will eventually surpass human intelligence and usher in an era of abundance, while the latter believes AI will lead to human extinction.

Question 4

How is artificial intelligence being used today?

Accepted Answer

AI is being used in a number of ways today, including for search engines, expert systems, natural language processing, robotics, and more.

Question 5

What are the benefits of Artificial Intelligence?

Accepted Answer

One of the key benefits of Artificial Intelligence is it reduces human-intensive labour by using Smart Automation. Pharma companies use AI intending to guarantee effective use of their R&D budget. With the use of AI, the chances of drugs passing clinical trials increase. Those AI-powered chatbots that use NLP have an improved understanding of human interactions. They can learn on their own, and therefore, they are more proficient in offering satisfactory customer responses.

Question 6

Which are the topmost Artificial Intelligence Tools?

Accepted Answer

Top Artificial Intelligence Tools are Caffe, Tensor Flow, Keras, Scikit learn, and PyTorch. Caffe is a deep learning framework that is extensively used among enterprise users and AI engineers owing to its fast speed. Tensor flow is an open-source framework developed by Google; it is used for numerical computation intelligence. Keras is an open-source neural network library which is programmed in the Python language. Scikit learn offers lots of supervised and unsupervised machine learning algorithms which can be used within your Python program. PyTorch is a Python scientific package that uses the GPU’s power.

Question 7

What are the properties of the Search Algorithms of AI?

Accepted Answer

Three key priorities of AI Search Algorithms are Completeness, Optimality, and Time and Space Complexity. ‘Completeness’ indicates that a search algorithm is complete when it returns a solution for any input if a minimum one solution exists for that specific input. ‘Optimality’ property explains that if the solution inferred by the algorithm is the best and most cost-effective solution, then that solution is regarded as the optimal solution. ‘Time Complexity’ property indicates the time taken by an algorithm to perform its task; ‘Space complexity’ is the maximum storage space required during the search process.

Question 8

What are Agents In Artificial Intelligence?

Accepted Answer

AI technologies work on one of the important concepts, i.e. Agents. The AI-enabled devices or AI software with sensors usually capture the information from the environment setup and then process the data for subsequent tasks. Agents interact with the environment in two ways -perception and action. The ‘perception’ denotes that the person is only passive in capturing the information without modifying the environment. The ‘action’ is the active form of the interface by modifying the environment.

Question 9

How does Artificial Intelligence work?

Accepted Answer

Artificial Intelligence primarily works on three methods. They are Symbolic AI, Data-Driven, and Future development. Symbolic AI encompasses Fuzzy logic, Expert systems, and the Early principle of AI. When working in an expert system, the computer is assigned a problem, and certain practices are performed to determine its analytical problem-solving skills. In the Data-driven machine learning method, deep learning algorithms and neural networks are applied to process data collection using big data and data mining.

Question 10

Which are the types of Artificial Intelligence Software?

Accepted Answer

Various types of Artificial Intelligence Software are Google Cloud Machine Language, Azure Machine Learning Studio, Tensor Flow, H2O AI, Cortana, IBM Watson, and Google Assistant. Google Cloud Machine Language trains the system of users. Azure Machine Learning Studio helps in the deployment of user design. Tensor Flow is a numeric computational tool used in an open-source system. H2O AI is software used for healthcare, insurance, banking, marketing, etc. Cortana is a virtual assistant and executes several tasks simultaneously. IBM Watson executes a Q and A session that provides services to SUSE Linux Servers in the Apache Hadoop’s framework. Google Assistant can be used on mobiles and smart home devices.

Question 11

How is the Turing Test performed in AI?

Accepted Answer

The Turing test is performed with three components. It includes a computer, a human responder, and a human interrogator. The Human responder and computer work on two distinct terminals, and an Interrogator who is unconscious of their identity asks multiple questions to both of them. Depending on their conversation, the interrogator decides which one is a human responder and which is a computer. If the interrogator is equally likely to choose either of the two or can’t differentiate between them, it is confirmed that the computer has successfully proved human-like intelligence.

Question 12

What is Propositional Logic in AI?

Accepted Answer

Propositional Logic is identical to sentential logic. It offers ways of combining or altering the propositions to prepare a complex structure and develop new logical relationships and properties. This Logic blends logical connections of all the constituent statements, and then the true value of the complex statement is evaluated. This process considers factors like relationship, reasoning, and connection between the constituent statements.

Question 13

What challenges does artificial intelligence face?

Accepted Answer

One of the key challenges artificial intelligence faces is computing power. The amount of power the power-hungry AI algorithm uses is a factor that keeps most developers away. The anonymous nature of how deep learning models foresee the output is another most important challenge. Apart from researchers, college students, and technology enthusiasts, only a few people know AI’s potential. AI is based on machine learning and deep learning models. These models work on the data generated from millions of users globally. Hence, there are chances that this data can be used for illicit purposes.

Question 14

What are the examples of Artificially Intelligent Technologies?

Accepted Answer

Robotic process automation, which denotes the process of automatically making a process or system function, is one of the best examples of Artificially Intelligent Technologies. NLP is the processing of human language through a computer program and uses AI Technologies. Machine learning is another great example of AI Technologies. It equips computers with the ability to learn without being unambiguously programmed. Machine vision robotics is also a popular example of AI Technologies.

Question 15

What are the drawbacks and risks of Artificial Intelligence?

Accepted Answer

Intelligent and machine robots are gradually taking over the jobs in the services and manufacturing sectors. So, it leads to a decrease in demand for human labour. If terrorist access AI technologies, they can explore modern terror networks. Artificial Intelligence reduces human-to-human interactions, and therefore, it might lead to moral degradation in society. The comprehensive development of artificial intelligence can initiate the end of the human race.

Question 16

Which is the nodal organisation of the government for the research work on Artificial Intelligence?

Accepted Answer

The Center for artificial intelligence and robotics (CAIR) is the principal laboratory of DRDO for carrying out research and development in various areas of defence, Information, and Communication Technology (ICT). It is situated in Bangalore. It works on R&D of high-quality Secure Communication, Command, Control, and Intelligent Systems.

Question 17

Does AI use a destructive method to achieve the objective?

Accepted Answer

Occasionally, AI-developed systems can use a destructive method. One must be very careful in aligning the AI’s goals. For example, if you request a self-driving car to pick you to the airport as soon as possible, it may surpass the speed limit, make you nauseous during the travel, and you may even be involved in legal disputes due to the violation of the speed limit. Another example is you design an AI and request it to take actions to balance the ecosystem. In this case, it may destroy a few people to decrease the population and keep the ecosystem balanced.

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