Unlocking AI: A Complete Guide To Basic To Advanced Concepts

Overview

Before learning what Artificial Intelligence is, you should have a deep understanding of computer science. Artificial Intelligence is of two words: Artificial means “man-made,” and Intelligence means “thinking power.”

Hence, Artificial Intelligence is called a “Man-made thinking power”.

Introduction

In the booming technology world, we must upgrade our tech to perform more than a developer or human does. Artificial intelligence is the solution to the above enhancement in the tech world.

Artificial Intelligence isn't just a concept; it's a practical tool that can perform tasks like humans. From problem-solving techniques to learning, reasoning, and understanding languages, AI is a game-changer in various fields, making its relevance and importance undeniable.

Why Is AI So Important?

Nowadays, we need more faster technology to complete and support real-world applications. Artificial Intelligence makes this easier by helping us in various aspects.

Artificial Intelligence performs many complex tasks, such as making decisions, solving problems, recognizing patterns, etc.

AI provides better solutions, helping automate repetitive tasks and getting new data insights.

Goals Of Artificial Intelligence

Below are the main goals of Artificial Intelligence

• It helps people perform tasks faster by reducing the total time required by humans.
• As it is wholly machine-based, it will be easier for humans to interact.
• Hence, the Human and Artificial Intelligence interaction will be natural and efficient.
• The results will be more accurate.
• The information on each piece of data will be more accessible, making the learning curve easy to understand.
• It helps to solve more intensive and complex tasks.
• The system can learn new things by itself.
  

History Of Artificial Intelligence

• Aristotle and Ramon Lull invented the basement of Artificial Intelligence by explaining how machines implement human thinking.
• As Egyptian engineers built automatons, Greeks were curious about finding the myths about robots.
• In the early 1940s and 1950s, scientists from various fields were trying to discover Artificial Intelligence.
• In 1956, a conference at Dartmouth College meeting on AI research led to the coin of the word “Artificial Intelligence.” John McCarthy coined it.
• From 1956 to the 1970s, we called it “AI Winters,” as there was no further improvement in AI discovery.
• In 1997, IBM’s Deep Blue beat the chess champion, a big success. Artificial Intelligence boomed, more technologies were developed, and all sectors started using them.
• In 2020, many generative artificial intelligence systems, such as ChatGPT and Google’s Bard, were implemented.
  

Advantages Of AI

• The results from Artificial Intelligence machines were very accurate; hence, the errors will be minimal.
• The AI system is of high performance, so we can process everything very fast.
• AI is very reliable; we can perform the same tasks multiple times.
• We can use AI in very complex and risky situations. For example, when diffusing a bomb, humans can be more at risk, and hence, using an AI detector will be very helpful.
• We can show customized results in digital assistants based on customer requirements.
• We can use AI for more public utilities like face recognition, self-driving cars, etc.
• Ai helps to enhance security very well, more than any other system.
• AI is beneficial for researchers.
• AI is available 24*7.
• AI is beneficial in medical applications.
  

Disadvantages Of AI

• When compared to other software we use, AI is widely used for many higher applications. Hence, the cost will also be very high in terms of scalability.
• As AI is booming with more technology, there is still a knowledge gap for many learners; hence, fulfilling the job requirement is risky.
• Due to the lack of software, making a few systems interact with each other is challenging.
• There is a higher chance for misuse due to the higher usage by many people.
• As AI is primarily dependent on systems.
• There is no original creativity. Hence, the system cannot think out of the box.
  

What Comprises In AI?

As we already saw, AI is used for various purposes. This section mainly lists the critical factors that help make AI successful.

• Mathematics
• Biology
• Psychology
• Sociology
• Computer Science
• Neurons study
• Statistics
  

Types of AI

There are more categories in Artificial Intelligence. However, these fall under two major categories listed below :

• Based on capabilities
• Based on functionality
  

Based on Capabilities

AI is divided into three categories based on capabilities, as listed below.

1. Artificial Narrow Intelligence
2. Artificial General Intelligence
3. Artificial Super Intelligence

Artificial Narrow Intelligence:

• Narrow AI, also known as Weak AI, performs only minimal tasks.
• Narrow AI cannot read human intelligence and perform the same. Instead, it is designed to perform only one singular task.
• Narrow AI performs the task only within the defined limits and at most that.
• Narrow AI performs the tasks using Natural Processing Language (NLP).

Examples :

1. Siri receives only voice commands and performs actions based on them. It cannot perform anything else.
2. Image recognition on the phone will only perform recognition and not more than that.
3. Self-driving cars
4. Email spam filters

Artificial General Intelligence:

• General Intelligence is also known as Strong Intelligence (or) Deep Intelligence.
• General Intelligence can perform any intellectual task like humans.
• General Intelligence is mainly created to perform and think tasks like humans.
• The complete intelligence required by scientists has yet to be achieved.

Examples:

1. Imagination
2. Recall
3. Hypothesis testing
4. Analogy
5. Implication

Artificial Super Intelligence:

• Super Intelligence is currently a Hypothetical concept.
• Currently, it doesn’t exist, but it is believed to be developed more in the future.
• Super Intelligence expects to surpass the thinking of Humans.
• Super Intelligence is expected to deliver emotions and be better than humans in Sports, math, Science, and even the film industry.
  

Based on Functionalities

AI is divided into three categories based on functionalities, as listed below.

1. Reactive Machines – Lives only in the present moment.
2. Limited Memory – Can remember past experiences, but only briefly.
3. Theory of Mind – IT is still under research and development.
4. Self-Awareness- This is the future of Artificial Intelligence.
   

AI tools and Services

1. Chat GPT
2. AI in cloud
3. Open AI
4. Transformers
   

Pre-requisite for AI

1. Knowledge of programming languages like C, C++, Python
2. Knowledge of mathematics, statistics, probability theory, etc.
   

Applications of AI

• Gaming – Smart games, Feel-real-look games, etc.
• Finance – Automated trading, Risk Control, etc.
• Data security – Predicting threats, Automated safety responses, etc.
• Astronomy – Analysing space information, Making telescope smarters, etc.
• Health care – Detecting health problems quickly, treatment plans, etc.
• Education – Virtual Learning Assistant, etc.
• Social Media – Chatbots, Virtual Assistants, etc.
• Automation – Self-driving cars, Voice Recognition, etc.
• Transport – Chatbots, Security Screening, etc.
• Entertainment – Live Events, etc.
• Agriculture – Automated Farming, etc.
• E-commerce – Dynamic pricing, Managing Inventory, etc.
  

Conclusion

Three major types of AI are widely used for various kinds of implementations.

1. Artificial Narrow Intelligence
2. Artificial Super Intelligence
3. Artificial General Intelligence

AI has more pros and cons, as it is still emerging. Hence, know the purpose for which you need to use AI and choose wisely.

FAQs

1. What is an artificial intelligence tutorial?

The Artificial Intelligence tutorial provides you with the basic concepts and introduction to AI.

2. Who can benefit from AI tutorials?

The tutorial covers basic concepts so anyone, whether developers or ordinary people, can learn about AI.

3. What topics are typically covered in AI tutorials?

The tutorials generally cover the concept of AI, its types, advantages and disadvantages, and uses.

4. Are there prerequisites for AI tutorials?

Yes, it would be best to have a basic understanding of mathematics and statistics and implementation knowledge of programming language.

5. Where can I find AI tutorials?

We have given a separate section on the coverage of AI tutorials.

6. Are AI tutorials free?

Some sites are free, like Geeks, Java Point, and Tutorial Point.

7. How long does it take to complete an AI tutorial?

To complete the basic concepts, you will need at least 2-3 days to gain the whole knowledge.

8. What can I do after completing an AI tutorial?

AI is a vast area; hence, learning doesn't end with basic tutorials. You need to go ahead with more concepts like AI coding, programming, and more kinds of implementation.