AI is all around us. We rely on it for everything from ordering food to controlling our cars. But what are the core technologies that make AI possible? In this video, we will cover the five core technologies in AI. The Five core technologies of AI include: 1. Machine Learning 2. Natural Language Processing 3. Computer Vision 4. Robotics 5. Human Computer Interaction. Lets look at each of them in little detail. Machine Learning: Machine Learning is a core technology of AI that enables computers to learn from data and experience, instead of being explicitly programmed. For example, we use machine learning in trading algorithms to predict stock prices. Natural Language Processing: Natural Language Processing or NLP is the ability of computers to understand human language and convert it into meaningful data. For example, we use NLP in chatbots to interpret customer queries and respond accordingly. Computer Vision: Computer vision is the ability of computers to interpret and understand digital images. For example, in retail we use computer vision to detect irregularities such as missing items on shelves. Robotics: Robotics is the branch of AI that deals with the design and development of robots. For example, in manufacturing, we use robotics to automate repetitive tasks. Human Computer Interaction: Human computer interaction or HCI is the study of how humans interact with computers and how to design user interfaces that are easy and intuitive to use. For example, in the field of healthcare, we use HCI to design medical devices that are easy to use and interpret. There are also other technologies that are used in AI such as deep learning, reinforcement learning, transfer learning, and so on. But these are the five core technologies of AI that you should definitely know about.