When confronted with a query X, artificial intelligence evaluates and presents the most logical response from a pool of previously provided or predefined answers. As a result, every time question X arises, AI sifts through potential answers to offer the most rational one. In contemporary times, the capabilities of artificial intelligence extend far beyond addressing question X.

Attempting to encapsulate artificial intelligence within a single definition would be inadequate. Concepts such as Machine Learning and Deep Learning serve as comprehensive terms that constitute the broader realm of artificial intelligence.

Machine learning refers to algorithms that enable machines to derive logical and rational outcomes from provided data. To illustrate, consider an algorithm developed for a store’s customer receipt data. This algorithm indicates that customers who buy chips also tend to purchase cola. As a result, chip shelves and cola coolers are positioned close to each other, leading to increased sales. In another scenario, an algorithm is introduced to recognize grapes. Attributes like color, purple, round are defined for the algorithm. When grapes and bananas are queried through machine learning, the algorithm decides which one is a grape based on the filtered attributes and adherence to rational principles. This example presents a simplified view of machine learning. In modern technology, machine learning offers us insights that push the boundaries of human comprehension.

Deep Learning and Machine Learning share significant similarities. Deep learning operates akin to neurons in our brain. Let’s illustrate the concept of deep learning using the example of grapes.

In machine learning, we introduce the attributes of grapes, whereas in deep learning, it formulates its own rules. It can distinguish between grapes and bananas through its own processes.

The algorithm’s self-learning, improvement, and presentation of acquired knowledge find a prime example in Google’s product, Google Translate. Behind this service that translates over 100 languages lies deep learning.