14 | Artificial Intelligence

Today you will learn 5 new English words related to "Artificial Intelligence"

TODAY’S TOPIC: “Artificial Intelligence”

“Artificial intelligence (AI)” is a compelling and relevant topic for you, an ESL learner, to study and understand in this contemporary world because as AI continues to shape various aspects of our lives, proficiency in English becomes increasingly valuable for individuals seeking to navigate this technological landscape. Today’s words will help you speak English more fluently about “artificial intelligence”. Let’s Jump Right In!


1 | Algorithm

  • Part of speech: Noun

  • Definition: A step-by-step procedure or set of rules for solving a problem or completing a task, often used in computer science.

  • Example Sentences:

    1. The algorithm employed in the AI system efficiently sorted through vast datasets to identify patterns.

    2. Learning about algorithms is fundamental to understanding how AI processes information.

    3. The search engine's algorithm continually evolves to deliver more accurate and relevant results.

2 | Machine Learning

  • Part of speech: Noun

  • Definition: A subset of artificial intelligence that involves the development of algorithms enabling systems to learn and improve from experience without explicit programming.

  • Example Sentences:

    1. Machine learning algorithms power recommendation systems, such as those used in streaming services.

    2. Understanding the principles of machine learning is crucial for staying informed about technological advancements.

    3. The AI model's accuracy increased over time through continuous machine learning.

3 | Neural Network

  • Part of speech: Noun

  • Definition: A computational model inspired by the human brain, consisting of interconnected nodes (neurons) used in machine learning and AI.

  • Example Sentences:

    1. Neural networks are effective in tasks like image recognition due to their ability to mimic human cognitive processes.

    2. The complexity of neural networks allows AI systems to handle intricate patterns and data relationships.

    3. Training a neural network involves adjusting weights to optimize the model's performance.

4 | Automation

  • Part of speech: Noun

  • Definition: The use of largely automatic equipment in an operation, process, or system.

  • Example Sentences:

    1. Automation in manufacturing has led to increased efficiency and precision.

    2. AI-driven automation simplifies repetitive tasks, allowing humans to focus on more complex responsibilities.

    3. Companies are increasingly adopting automation to streamline business processes.

5 | Data Mining

  • Part of speech: Noun

  • Definition: The process of discovering patterns and extracting useful information from large datasets.

  • Example Sentences:

    1. Data mining is crucial for uncovering insights from vast amounts of information collected by AI systems.

    2. The retail industry uses data mining to analyze consumer behavior and preferences.

    3. Successful data mining relies on advanced algorithms and computing power.


Artificial intelligence (AI) is at the forefront of technological innovation, employing intricate algorithms and cutting-edge techniques to emulate human intelligence. Machine learning, a subset that enables systems to adapt and improve through experience without explicit programming, is at the core of AI’s capabilities. Within this framework, neural networks, which are inspired by the human brain's structure, enhance AI's ability to process complex patterns and information. Automation, which is a key application of AI, revolutionizes industries by streamlining operations and performing repetitive tasks with efficiency. Lastly, data mining, involves extracting meaningful insights from extensive datasets, informing decision-making processes. As AI continues to advance and gain popularity, its algorithms, machine learning applications, neural networks, automation capabilities, and data mining functionalities collectively reshape the way we interact with technology, paving the way for a future where intelligent systems seamlessly integrate into various aspects of our lives.

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