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What is Artificial Intelligence? Your easy guide to AI Tutorial

what is artificial intelligence your easy guide to ai tutorial

We are living in an era where we find it challenging to conduct our day-to-day activities without the assistance of technology, especially the type of technology which has been augmented by artificial intelligence and machine learning. If you are wondering, how AI has impacted the human race, well, this is one instance for you to understand how its swift growth has not only benefited us but also conditioned us to accept its developments. Artificial Intelligence is the present and also the past which has helped us craft it into our future. It is not just a gift to us anymore it is in fact now a part of the human race.


Today we will dive into a detailed artificial intelligence tutorial , with regard to what is artificial intelligence, the application of artificial intelligence, types of artificial intelligence, the history of how artificial intelligence came into existence, and its scope of development in the future. This tutorial is suitable for anyone who is intrigued enough to learn the basics of artificial intelligence, working professionals, or simply IT enthusiasts. But if you are someone who is looking to learn more and upgrade their selves, an artificial intelligence course in Data Science from Itvedant is what you are looking for.


Without any further delay, let’s dive into our easy artificial intelligence tutorial.


What is Artificial Intelligence?

“Intelligence is the computational part of the ability to achieve goals in the world.”- John McCarthy , Father of Artificial Intelligence. Artificial Intelligence, since has flourished vividly in different fields, and people have built their perception to be similar to that of a robot. And if to be precise enough, they are not wrong. Artificial intelligence is indeed a process of humanizing machines to crack their usability to the fullest potential. Artificial intelligence was built with the intention of performing normal tasks, which a human brain is capable of doing such as perceiving, learning, reasoning, replying, reciprocating, visualizing, and so on. Artificial intelligence with the help of machine learning is also capable of memorizing and recognizing objects, understanding human language, and making rational decisions depending on the same.


Frequent used Applications of AI

AI has progressed prominently in the following fields:

    • 1. Natural Language Processing:

    • Natural Language Processing is the process through which the machine is able to perceive, read, and give end results the same way a human brain does. One is easily able to interact with machines due to Natural language processing’s learning modules. It enables the system to recognize the language used in chatbots, and language translators.


    • 2. Computer Vision:

    • Computer vision enables the system to interpret visual information such as object detection, facial recognition, and image and video analysis. Its usage has been highly seen at traffic signals through CCTVs, self-driving cars, and in healthcare for diagnosis. It also helps in segregating the visual data with respect to its data, time, and even location.
    • Its real-life application has helped duly in many complex mechanisms.

    • 3. Recommendation System:

    • Have you ever wondered how your Spotify only plays songs that most fit into your existing playlist or how is google able to predict the searches you are looking for? It is done with the help of Artificial Intelligence and machine learning. As it is integrated with deep learning modules, it perceives the human pattern and gives results on the basis of human intent. Hence, artificial intelligence has enabled recommendation systems that we can encounter through products, music, movie, or content, based on user experience.

    • 4. Virtual Assistants:

    • As far as the development of artificial intelligence is concerned, virtual assistants are said to have been the starting point. Voice recognition with respect to human interaction experience, is said to be the foundation of virtual assistants. The three most notable virtual assistants are Google's Alexa, Apple's Siri, and Google Assistant. They are taught about the command and the voice's accent with the aid of a deep learning module in order to achieve the desired outcomes.
    • The use of virtual assistants may also be observed in speech-to-text conversion and assisting with language hurdles.

    • 5. Gaming:

    • Artificial Intelligence has the most profound impact on gaming. The way gaming applications used to be designed and developed has now been changed forever. It has boomed greatly in different aspects of gaming applications right from user experience, to various new opportunities for game developers. AI is used in designing the enemy's behavior, it makes the game even more exciting as unpredictable moves are made with the help of heuristic knowledge. For eg. tic tac toe, chess, poker, etc.


Types of AI

    • 1. Narrow AI (Weank AI):

    • Narrow AI performs a single task at a time. This type of AI has very less limitations and hence is considered to be weak, as it has lesser constraints on it. It is not developed to incorporate human functionality but to stimulate human behavior. It is mainly based on response generation. This technology is mainly used in chatbots, virtual assistants, and speech recognition. Deep learning modules used in these AI systems are accustomed to giving personalized user experience.
    • For Eg:
      • Siri
      • Alexa
      • Google Assistant
      • Facial Recognition Software
      • Prediction tools

    • 2. Artificial General Intelligence (AGI):

    • Artificial General Intelligence (AGI) also known as strong AI or deep AI refers to the idea through which a machine is made capable enough to simulate human-like function. Through AGI it is possible to apply human intelligence to solve real-life problems, without any human intervention. Although, this type of intelligence is yet to be achieved. Scientists have been on and about with significant searches to build and generate artificial general intelligence. The theoretical developments are yet to be brought into existence. A few examples of AI are:
      • Self-driving cars
      • Imagination
      • Recall
      • Analogy

    • 3. Artificial Super-intelligence (ASI):

    • Artificial super-intelligence has not been implemented or even bought into existence yet. For now, its existence is entirely a hypothetical concept. Artificial super-intelligence is the concept where the machine exceeds the human-functionalities and becomes self-aware to the point where it is able to make decisions of its own. This type of artificial intelligence has yet been only seen in movies, books, and fictional concepts.
    • One such concept would be better at arts, healthcare, education, information, and knowledge than humans itself as it would be bounded better through emotional intelligence, feelings, and understanding. The real-life application of this intelligence is unknown to humans and hence its impact is yet unknown to us.


History of Artificial Intelligence:


Year Milestone/ Development
1943 First Concept of Neural Networks (McCulloch & Pitts)
1950 Alan Turing's "Computing Machinery and Intelligence"
1956 Dartmouth Conference - Coining of "Artificial Intelligence" term and formal birth of AI as a field
1956- 1974 Early AI research, Logic-based AI, General Problem Solver
1958 First AI Program (Logic Theorist) by Allen Newell and Herbert A. Simon
1966 ELIZA - First Chatbot by Joseph Weizenbaum
1969 Shakey - First Mobile Robot with AI capabilities
1970s Expert Systems - Rule-based AI approaches
1980s AI Winter - Period of reduced funding and interest in AI
1986 Backpropagation Algorithm for Training Neural Networks
1997 Deep Blue defeats Garry Kasparov in Chess
2000s Resurgence of AI with Machine Learning advancements
2011 IBM Watson wins Jeopardy! against human champions
2012 AlexNet - Deep Learning breakthrough in ImageNet competition
2014 DeepMind's AlphaGo defeats world champion in Go
2016 Generative Adversarial Networks (GANs) introduced
2018 OpenAI's GPT (Generative Pre-trained Transformer)
Present Continued advancements in Deep Learning, NLP, Robotics, and AI applications across industries


Conclusion:

These are only a few instances, and as technology develops and new opportunities arise, the applications of AI has been growing. The application of AI has the potential to transform several sectors and enhance many facets of our everyday life. With its increasing growth, a spike in artificial intelligence courses has also been witnessed. IT professionals are upskilling, learning, and evolving themselves with the growth in this domain.

Hope you found this artificial intelligence tutorial helpful and the most to your benefit. Thank you for your patient reading and sticking to the end!