The field of AI (Artificial Intelligence) has grown quickly, with many techniques that have changed the way we use technology. Let’s look at some of the main AI techniques:
Machine Learning (ML) Machine Learning helps computers learn from data and get better over time, without being directly programmed. It can make predictions and decisions based on examples it has seen before. For example, ML can be used to recommend products you might like or detect fraud in online transactions.
Natural Language Processing (NLP) NLP is the part of AI that helps computers understand and generate human language. This allows us to interact with machines using speech or text, such as through virtual assistants like Siri or Google Assistant, chatbots, or translation tools.
Computer Vision Computer Vision allows machines to “see” and understand images or videos. This is used in many areas, such as recognizing faces, detecting objects, and even enabling self-driving cars to navigate the road.
Deep Learning Deep Learning is a more advanced type of Machine Learning. It uses artificial “neural networks” that have many layers to understand very complex patterns in data. This has led to impressive AI breakthroughs, like computers beating humans in games like chess and Go, or improving systems that recognize images and speech.