Artificial Intelligence
  1. Artificial Intelligence (AI) – Machines designed to mimic human intelligence. Example: AI can translate languages instantly.

  2. Algorithm – A set of rules a computer follows to solve a problem. Example: Google’s search algorithm finds the best results.

  3. Automation – The use of technology to perform tasks without human assistance. Example: Automation is common in car manufacturing.

  4. Data – Information collected for analysis. Example: AI systems learn by analyzing large amounts of data.

  5. Machine Learning – A type of AI where machines improve through experience. Example: Machine learning helps Netflix suggest shows.

  6. Robot – A machine capable of carrying out tasks. Example: Robots are used in surgery.

  7. Neural Network – AI modeled after the human brain’s structure. Example: Neural networks power image recognition software.

  8. Chatbot – A computer program designed to simulate conversation. Example: Chatbots help answer customer queries online.

  9. Innovation – A new idea, method, or product. Example: AI has led to innovations in healthcare.

  10. Smart Device – An electronic device connected to the internet. Example: Smartphones are considered smart devices.

  11. Ethics – Principles of right and wrong. Example: There are ethical concerns about how AI is used.

  12. Bias – An unfair preference for or against something. Example: AI systems can have bias if the data is biased.

  13. Virtual Assistant – AI-powered software that performs tasks. Example: Alexa is a virtual assistant.

  14. Predictive Analysis – Using data to predict future events. Example: Predictive analysis helps detect fraud.

  15. Cognitive – Related to thinking or understanding. Example: Cognitive skills are crucial for solving problems.