20h • 📣 General Discussion
Categories of AI
AI has six main categories, each focusing on specific tasks and techniques. Imagine AI as a school called 'AI will always love you' with different classes, each dedicated to a unique skill.
These categories are:
1 - Machine Learning
2 - Natural Language Processing
3 - Expert Systems
4 - Computer Vision
5 - Speech Recognition
6 - Robotics
Machine Learning (ML) is a part of AI that helps computers learn from data, find patterns, and improve over time without needing humans to tell them what to do. By looking at lots of existing information, ML algorithms can spot trends, make choices, and improve their skills based on new examples.
It is like the math class where students learn to solve problems by practicing with examples.
Real world application: Recommendations on what to watch on Netflix.
Natural Language Processing (NLP) is a part of AI that helps computers understand, interpret, and create human language. It lets machines process and analyze text or speech like people do, making it easier for them to work with language. NLP is the language class, where students learn how to read, write, and talk.
Real world application: Autocorrect and autocomplete text.
An Expert System is a computer program that mimics how a human expert makes decisions in a specific area. It uses set rules to analyze information and draw conclusions, applying knowledge from that field to help solve problems and provide advice. It is similar to a science class where students apply specific rules and knowledge from their field to solve problems.
Real world application: Diagnosis of bacterial infections.
Computer Vision is a field of artificial intelligence that enables computers to interpret and understand visual information from the world, such as images and videos, allowing them to perform tasks like object recognition, image classification, and scene understanding. It is like the art class that helps students learn to interpret images and recognize patterns in visuals.
Real world application: Facial recognition technology.
Speech Recognition is a technology that focuses on converting spoken language into written text, allowing machines to understand and transcribe audio input, such as voice commands and conversations. This technology facilitates human-computer interaction by enabling users to communicate with machines through their voices. It is like the music class where students learn to interpret sounds.
Real world application: Virtual assistants.
Robotics is a part of AI that builds machines to interact with the real world, using other AI tools like machine learning and computer vision to help them work and make decisions on their own. It is like the PE class, where students learn through action and physical tasks.
Real world application: Autonomous vehicles such as the Mars Rover.
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