Monday, December 15, 2025

CLASS 9th UNIT 1 AI PART 1

Father of AI (Artificial Intelligence):

๐Ÿ‘‰ John McCarthy


เค•ृเคค्เคฐिเคฎ เคฌुเคฆ्เคงिเคฎเคค्เคคा (AI) เค•े เคœเคจเค•:

๐Ÿ‘‰ เคœॉเคจ เคฎैเค•ाเคฐ्เคฅी (John McCarthy)


Why / เค•्เคฏों?


1956 เคฎें เค‰เคจ्เคนोंเคจे “Artificial Intelligence” เคถเคฌ्เคฆ เคฆिเคฏा

In 1956, he coined the term "Artificial Intelligence".


 Artificial Intelligence (AI)

Definition: 

Artificial intelligence is a technology that enables computers and machines to 

simulate human intelligence and problem-solving capabilities.

Components of AI:

Data and Algorithm makes a machine Artificially intelligent.

Features of AI:

 Mimics human intelligence

 Solves real-world problems

 Improves on its own from past experiences

 Predicts and make decisions on its own

Applications of AI:

➢ Face Lock and Fingerprint Lock in Smartphones protects user data.

➢ Smart assistants like Apple’s Siri and Amazon’s Alexa recognize patterns 

in speech, then infer meaning and provide a useful response.

➢ Fraud and Risk Detection by Banks and Finance companies through 

customer profiling, past expenditures, and other essential variables to 

analyse the probabilities of risk and default.

➢ Medical Imaging helps to understand patient’s health condition and 

diseases.

Machine Learning (ML):

Machine learning (ML) is a branch of AI that focuses on the using data and 

algorithms to enable AI to imitate the human skills of learning and gradually 

improving its accuracy. Machine learning may dependent on human 

intervention to learn.

Deep Learning (DL):

Deep learning is a subset of ML that uses multi-layered neural networks to 

simulate the complex decision-making power of the human brain.

Deep Learning does not need human intervention.


Domains of AI

There are 3 major domains in AI:



1. Data Sciences (DS)

Data sciences is a domain of AI related to data systems and processes where the
system collects numerous data, maintains data sets and derives meaning or sense
out of them. The information extracted through data science can be used to make
a decision about it.

Application of Data Science:

Price Comparison Websites like PriceGrabber, PriceRunner, Junglee, Shopzilla, 
DealTime etc.

2. Computer Vision (CV)

Computer Vision is a domain of AI that enables a machine to get and analyse
visual information and predicts or decides about it.
The entire process involves image acquiring, screening, analysing, identifying and
extracting information from photographs and videos captured through thermal or
infrared sensors, indicators or other sources.

Application of Computer Vision:

Self-Driving cars/ Automatic Cars, Face Lock in Smartphones, etc.

3. Natural Language Processing (NLP)

Natural Language Processing is a branch of AI that deals with the interaction
between computers and humans using the natural language. NLP attempts to
extract information from the spoken and written words using algorithms.
The objective of NLP is to read, decipher, understand, and make sense of the
human languages.

Application of Natural Language Processing:

Email filters / Spam filters, Smart assistants like Alexa, Siri etc.