What is Artificial Intelligence (AI)?

Artificial Intelligence is a product of Computer Science which is based on machine learning and deep learning algorithms. That enables computers to work like human thinking and it performs various tasks where required human intelligence. AI contributes a major role in the modern age of information technology. 

The core idea of AI is to train the computer to analyze, understand the structured and unstructured data like text, image, OCR (Optical Character Recognition), audio (human voice), and video. It can learn with patterns of data and day to day interactive experience with humans and other systems. Based on their understanding and analysis AI can make decisions or create predictive results. 

Now, AI is a broad field that comprises many areas like computer science, data analytics, hardware, software engineering, neuroscience, even philosophy and psychology. 

In current business operations AI is used for data analytics, market perdition, forecasting, object categorization, recommendation, complex data processing, data retrieval and natural language processing.

In which areas does AI work? 

Artificial Intelligence (AI) is highly capable of working in almost all areas and trying to make it more intelligent and error free in day to day development.

Currently AI is contributing in the below area or many more. 

• Healthcare
• Education
• Business
• Finance
• Creative content, art, media
• Transportation
• Retail and E-commerce
• Security and surveillance. 
• Environmental
• Gaming
• Space Technology
• Warfare

What is the concept of Artificial Intelligence (AI) ? 

 There are three types of AI concept as below. 

1. Machine Learning (ML) :-  This is a common method to train the machine these days. A machine learning method can train on a large amount of data on similar objects so that the machine can identify the object and be able to make a decision. 

For Example – Machine trained on thousands of similar photos like a flower. Now it can easily identify whether a new or unseen image is a flower. 

2. Deep Learning:- Deep learning is the type of machine learning that uses multi layered neural networks – which are also called deep neural networks. A neural network in simple words is a computer system which is designed to learn from data and perform tasks like recognizing patterns and solving a complex problem, like the human brain does. These systems interconnected nodes that are organised in multi layer. Enabling them to process the information and improve their performance over time through learning from example. 

3. Generative AI :- This artificial intelligence focuses on creating new content like image, audio and video rather than just analysing, understanding the existing data and sharing the output. Generative AI models work on a vast dataset and are able to generate new ones and unique results. This AI model is trying to replicate and create human creativity by generating unique content like image, text, audio, video. 

Generative AI works on Large Language Models (LLMs) which are able to understand and manipulate the human language. They are trained on a massive range of data/tasks, translation, text summarizing, and question-answering like chatbot. 

Generative AI examples – Chat GPT, Dall-E, Bard, DeepSeek

How many types of AI? 

There are three types of Artificial Intelligence (AI) based on functionality and capability. 

1. Narrow AI :- It is developed, trained and specialized for a specific task. it is called weak Ai. 

                           Example – Siri, Google translator, Alexa, Youtube, Voice Assistance etc.

2. General AI :- This is a form if AI that is trained on theoretical concept and able to understand, learn and able to apply intelligence like human and can do wide range is task. 

                            Example – Chatgpt, Copilot

3. Superintelligent AI :- This is also trained on theoretical concept but it is a super intelligent and has a huge capability like human intelligence in all aspects. It can think, research, analyse, creativity, problem solving, strategic thinking  and working on huge complex data. it’s potential implication is under development and research or debate too. This AI works on deep learning technique and large language models (LLMs)  and demonstrating advancement. 

                                          Example – ChatGPT, Deepseek, bard

What is the benefit of Artificial Intelligence (AI)?

1. Automation :- 

• AI sticks to instructions without getting tired or distracted. If you set a rule like “always check spelling before posting”
• Humans can make errors when handling lots of information. AI can scan thousands of records, files, or messages without missing a detail. 
• AI can spot things that don’t look right—like a wrong number, a missing file, or a strange behavior in a system.

2. Reduce Human Error :- 

• AI sticks to instructions without getting tired or distracted. If you set a rule like “always check spelling before posting”
• Humans can make errors when handling lots of information. AI can scan thousands of records, files, or messages without missing a detail. 
• AI can spot things that don’t look right—like a wrong number, a missing file, or a strange behavior in a system.

3. Fast and Accurate : – 

• AI can process big datasets more quickly than humans. 
• AI doesn’t get tired or distracted, so it maintains peak performance 24/7.
• AI can access data quickly and respond to users immediately. 
• AI can find mistakes in grammar, calculations, or system behavior before they cause problems.
• AI improves its predictions and decisions over time with continuous learning. 

4. Accelerated research and development :- 

The ability to analyze vast amounts of data quickly. 

• AI can lead to accelerated breakthroughs in research and development. 
• AI has been used in predictive modeling of potential new pharmaceutical treatments.
• AI has been used in predictive modeling of potential new pharmaceutical treatments.