A brief introduction about Artificial Intelligence and its branches.

In a world where technology evolves at an unprecedented pace, the quest to replicate the astonishing capabilities of the human mind has driven the development of Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning. But what exactly do these terms mean, and how do they shape the landscape of modern computing?

Artificial Intelligence (AI):

• Mimics human intelligence in machines.
• Examples: diagnosing diseases, detecting fraud.
• Focuses on tasks requiring human-like intelligence.

Machine Learning (ML):

• Subset of AI.
• Teaches computers to learn and make decisions without explicit programming.
• Learns from vast amounts of data.
• Requires computational power and robust algorithms.

Deep Learning:

• Subset of ML.
• Utilizes neural networks inspired by the human brain.
• Processes data through multiple layers.
• Excels in tasks like text and image generation.
• Demands significant computational resources.

The below picture is useful in understanding what described above.