WHAT IS ARTIFICIAL INTELLIGENCE| ROLE OF AI IN MODERN AGE| ShebGuru

Artificial Intelligence

Artificial intelligence (AI) is the intelligence displayed by machines and other systems that are made to emulate human behavior. AI can be found in various applications, from self-driving cars to customer service robots. 

Expert Systems: Mycin

MYCIN:

A computer program that uses data and algorithms to identify patterns in the information it receives. Expert systems contain a set of rules (or "rules of inference") that can be used to make decisions based on the information they have been given. 

The first expert system was created by Edward Feigenbaum and Murray Bookchin in 1967, called "Mycin" which consisted of a simple database containing symptoms and test results for various diseases. It determined if these patients had a bacterial infection based on this information alone, without human intervention or input from another expert in their field.

 

Mycin was not intended as an actual medical diagnosis tool; instead its purpose was to demonstrate how such tools could be developed by using only available data from clinical trials performed by doctors already trained in its use . 

Speech Recognition :

Speech recognition is the process of converting speech into text. This can be performed by a computer program, or it may be done by another person . Speech recognition is a subset of natural language processing (NLP), which includes tasks such as machine translation, question answering and automatic summarization.  

Natural language processing(NLP)

NLP is an important part of artificial intelligence because computers can perform these tasks without having to understand what they're doing—they just need to know how to do them! Speech recognition also has applications outside artificial intelligence: for example, it's useful for dictating messages on your phone or tablet; understanding commands like "press 1" will allow you to use your device more efficiently! 

Speech recognition is challenging because there are many different ways that we might want our devices' responses changed based on what people say (and no single method works well enough). For example: some systems only recognize certain words while others analyze entire sentences--and both types make mistakes sometimes! 

Machine Vision :

Machine vision is the field of computer science that develops algorithms for the analysis and processing of digital images. It includes image processing, pattern recognition, and machine learning. Image processing is a subfield of signal processing; it involves transforming images into other forms (e.g., manipulating their color) or performing operations on them (e.g., compressing them). Machine vision applications include robotics, medical image analysis, industrial inspection and more! 

wide ranging term(AI) :

AI is a wide ranging term, encompassing many different technologies and ways of thinking about problems. 

AI can be thought of as the way we think about solving problems. It's not just about machines learning how to do things; it's also about humans learning how to work with them better by building systems that can help them do their jobs better or faster than before. 

BENIFITS OF FREELANCING:  

Machines may learn from experience, adapt to new inputs, and carry out activities similar to those performed by humans thanks to artificial intelligence (AI). Deep learning and natural language processing are heavily utilized in the majority of AI examples you hear about today, including self-driving cars and chess-playing computers. 

AI reduces the amount of time needed to complete a task. It makes multitasking possible and lightens the demand on the available resources.AI makes it possible to complete previously complex jobs without having to spend a lot of money.AI is always active, never stops, and never experiences downtime.AI improves the capabilities of people with disabilities.AI may be used across industries and has a large market potential.AI helps in decision-making by accelerating and improving the process. 

ROLE IN MODERN LIFE: 

Several industries are playing a crucial role in the development of smart cities, including intelligent transportation, cyber security, smart grids (SGs), and UAV-assisted next-generation connectivity (5G and B5G), among others. Big data analysis and the efficient application of AI, ML, and DRL-based approaches that can increase their efficiency and scalability in a smart city project have a significant impact on all the sectors mentioned above. In order to implement self-driving vehicles, guarantee the security of linked vehicles, improve passenger search efficiency, and ensure safe journeys,  DRL-based techniques have a significant impact on the present intelligent transportation system . The authors performed a poll in which they discussed the impact of DRL-based procedures on ITS. 

The element of a smart city that can most fully actualize the ideal concept of a smart city is cyber-security. A thorough, dynamic, and robust cyber-security plane must be built and linked to all the component elements of the proposed architecture in order to actualize the security plane . Nearly every area of a smart city has been profoundly impacted by the role that AI, ML, and DRL-based methodologies have played in cyber-security. The authors have provided an extensive overview of the use of ML and DRL approaches in IoT device cyber security, which is crucial for applications involving smart cities. 

ADVANCEMENT: 

AI is having an ever-growing impact on how we go about our daily lives. AI is quickly altering our daily tasks, the way we think and interact with the world, and the nature of our professions. How should the new laws be constructed to minimize AI's negative effects on humans while maximizing its good ones in order to protect the present and future generations??? How AI-assisted laws and regulations ought to be created in order to guarantee social and economic progress ?. Based on DRL and neural networks, the authors of suggested a system for a smart city's efficient crime detection that could quickly recognize and assess any illicit activity. The authors of also suggested an ML-based architecture that can be used to forecast incidents. 

CONCLUSION:

  

The term "artificial intelligence" is used to describe a wide range of computer systems and techniques. These include expert systems that can answer questions in natural language, speech recognition and machine vision systems that can recognize objects by processing video frames. In this post we’ve discussed how these technologies work as well as their uses and limitations.