November 24, 2024
YOJANA KURUKSHETRA MAGZINE- 2024 ( ARTIFICIAL INTELLIGENCE ) प्रशासन और जनकल्याण

YOJANA KURUKSHETRA MAGZINE- 2024 ( ARTIFICIAL INTELLIGENCE ) प्रशासन और जनकल्याण

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YOJANA KURUKSHETRA MAGZINE- 2024 ( ARTIFICIAL INTELLIGENCE ) प्रशासन और जनकल्याण

YOJANA KURUKSHETRA MAGZINE- 2024 ( ARTIFICIAL INTELLIGENCE ) प्रशासन और जनकल्याण

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WHATDO MEAN BY YOJANA / KURUKSHETRA ?
Yojana is a monthly magazine Yojana provides valuable insights into government policies and schemes, making it a great resource for preparing for UPSC exams.
Yojana delves into various socio-economic topics impacting India, in
* Rural and urban development
* Healthcare
* Education
* Poverty alleviation
* Infrastructure
* Government schemes and policies.
*Civil service aspirants:
Yojana serves as a credible source for understanding socio-economic issues and government initiatives in India.
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WHAT DO MEAN BY ARTIFICIAL INTELLIGINCE ?
Artificial intelligence, often abbreviated as AI, is a fascinating field that deals with creating intelligent machines. Here’s a breakdown of what AI is and how it’s impacting our world:
**Core Idea:
Simulate or replicate human intelligence in machines.
* This involves enabling machines to perform tasks typically requiring human cognitive abilities like:
* Learning and problem-solving
* Reasoning and decision-making
* Perception and recognition

**Types of AI:**

* There are two main categories of AI:
* **Narrow AI (ANI) or Weak AI:** This is the most common type of AI we see today. It’s focused on performing specific tasks exceptionally well, often exceeding human capabilities in those areas. Examples include:
* Facial recognition software
* Spam filters
* Self-driving car algorithms
* General AI (AGI) or Strong AI:** This is purely theoretical and doesn’t exist yet. It refers to artificial intelligence that matches or surpasses human general intelligence, capable of learning and adapting to any situation. This is often portrayed in science fiction.

**How AI Works:**

There are various techniques used in AI, but some of the most common include:

* **Machine Learning:** This allows machines to learn from data without explicit programming. By analyzing vast amounts of data, the machine can identify patterns and improve its performance on a specific task.
* **Deep Learning:** This is a subset of machine learning inspired by the structure and function of the human brain. It uses artificial neural networks to process information and make decisions.
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