Artificial Intelligence and Machine Learning: Unit I(a): Introduction to AI

Features of Artificial Intelligent

Introduction to AI - Artificial Intelligence and Machine Learning

AI can be termed as "The science and engineering of making intelligent machines, especially intelligent computer programs". Intelligence distinguish human from everything in the world.

Features of Artificial Intelligence

The Al

AI can be termed as "The science and engineering of making intelligent machines, especially intelligent computer programs".

Intelligence distinguish human from everything in the world. As it has the ability to understand, apply knowledge. Also, improve skills that played a significant role in human evolution.

Artificial Intelligence (AI) is the simulation of human intelligence by machines. It is the method by which machines demonstrate certain aspects of human intelligence like learning, reasoning and self- correction. Since its inception, AI has demonstrated unprecedented growth. Sophia the AI Robot, is the quintessential example of this. The future of Artificial intelligence is more of unclear. But going by the bounds of progress Al has been making, it is clear AI will impact every sphere of human life.

The Al Future Scope

It is highly possible that areas in which the universal intelligence of the human level is not needed will reach maturity and produce reliable high-quality products in the next decade. Efforts to improve quality and expand boundaries for text and video understanding systems, and to give home robots greater reliability and overall utility, will lead to systems of common sense linking learning and action together in all these modalities.

Special systems for the acquisition and organization of scientific knowledge, as well as for working with complex hypotheses, are likely to greatly affect molecular biology, system biology and medicine. We should start looking for similar influences in the social sciences and policy making.

Especially given the massive growth of machine-readable data on human activities and the need for machines that understand human values if such machines are reliable and useful. Public and private sources of knowledge (systems that know and draw conclusions about the real world, and not just store data) will become part of society.

If earlier AI developers were trying to create a machine that could perform tasks independently, at the moment the situation has changed and the goal that is put before artificial intelligence is to help a person in various matters.

But now the modern approach, artificial intelligence starts to simplify and improve various processes, for example, in Western countries the robot conducts primary medical diagnostics on the basis of dialogue with the patient and his analyses.

Another promising sphere is the prediction and even some manipulation of human behaviour in advertising systems.

One can expect an increase in the quality of the work of search engines and machine translation. This will be possible due to the fact that the computer will begin to understand and analyze the meaning of the text.

Cyber Security

In near future AI application in cyber security will ensure in curbing hackers. The incidence of cybercrime is an issue that has been escalating through the years. It costs enterprises in term of brand image as well as material cost. Credit card fraudery is one of the most prevalent cybercrimes. Despite there being detection techniques, they still prove to be ineffective in curbing hackers. Novel AI techniques like Recurrent Neural Networks can detect fraudery in initial stages itself. This fraud detection system will be able to scan thousands of transactions instantly and predict/ classify them into buckets.

Face Recognition

The launch of iPhone x with face recognition feature was a step towards AI future. In the coming years, iPhone users might be to unlock their phones by looking into the front camera. Authenticating personal content is not the only use of facial recognition. Governments and security forces make use of this feature to track down criminals and identify citizens. In the future, facial recognition can go beyond physical structure to emotional analysis. For example, it might become possible to detect whether a person is stressed or angry or any required emotional aspect.

Data Analysis

AI will benefit business in the field of Data Analysis. AI would be able to perceive patterns in data that humans cannot. This enables business to target the right customers for the product. An example of this is the partnership between IBM and Fluid. Fluid, a digital retail company uses Watson - an AI application created by IBM for insightful product recommendation to its customers.

Transport

Al-guided transport will no longer be just a fantasy but a reality. Self- driving cars have already populated the market, however, a driver is required at the wheels for safety purposes. With Google, Uber and General Motors trying to establish themselves at the top in this market, it will not be long before driverless vehicles become a reality. Machine Learning will be crucial in ensuring that these automated vehicles operate smoothly and efficiently and error free.

Various Jobs

Application like robotic process automation is machine learning to automate rule-based tasks. It will help people to focus on the critical aspects of their job while leaving the routine aspects to machines. Automation can range from data entry to complete process automation. The reach of AI is also expected to blanket jobs that are risky or health-hazardous like bomb diffusion and welding that would help mankind.

Emotion Bots

Technology has advanced in terms of emotional quotient. Virtual assistants, Cortana and Alexa show how the extent to which AI comprehends human language. They are able to understand the meaning from context and can make intelligent judgments. Overall, considering all this, the possibility of emotional bots might become a reality in the future.

Marketing and Advertising

The application of AI in sales and marketing are going to be a definite, considering the fact that marketing professionals leave no stone unturned to benefit their business. AI can increase the efficiency of sales and marketing organization. The focus will be on improving conversion rates and sales. Personalised advertising, knowledge of customers and their behavior gleamed through facial recognition can generate more revenue.

Artificial Intelligence Career Domains

AI is the latest buzzword in Tech. All the major business giants will make use of AI in the future to improve their productivity. So AI is going to permeate every job sector in the future. It can create new career paths in the field of machine learning, data mining, and analysis, AI software development, program management, and testing.

A career in this can be realized within a variety of settings including:

Private companies

Public organizations

Education

The arts

Healthcare facilities

Government agencies and

The military.

Job Roles in Al Career

Software analysts and developers.

Computer scientists and computer engineers.

Algorithm specialists.

Research scientists and engineering consultants.

Mechanical engineers and maintenance technicians.

Manufacturing and electrical engineers.

Surgical technicians working with robotic tools.

Military and aviation electricians working with flight simulators, drones, and armaments.

Review Questions

1. Define AI. (Refer section 1.1)

2. What is AI? (Refer section 1.1)

3. What is meant by robotic agent? (Refer section 1.1)

4. Explain in detail the history of AI. (Refer section 1.1)

5. What are various domains of AI? (Refer section 1.1)

6. What is AI? State various characteristics of AI. (Refer section 1.1)

7. Explain the nature and scope of AI. Why game playing problems are considered AI problems? (Refer section 1.1)

8. What are AI techniques? (Refer section 1.4)

9. Define the term "Artificial Intelligence". Explain how AI techniques improve real-world problem solving. (Refer sections 1.1 and 1.4) [3]

10. What is the significance of the "Turing Test" in AI? Explain how it is performed. (Refer section 1.1)[4]

Artificial Intelligence and Machine Learning: Unit I(a): Introduction to AI : Tag: : Introduction to AI - Artificial Intelligence and Machine Learning - Features of Artificial Intelligent


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CS3491 4th Semester CSE/ECE Dept | 2021 Regulation | 4th Semester CSE/ECE Dept 2021 Regulation