Artificial Intelligence (AI): Artificial Intelligence refers to the development of computer systems that can perform tasks that typically require human intelligence. These tasks include learning, reasoning, problem-solving, perception, and language understanding. AI can be categorized into two main types: narrow or weak AI, which is designed to perform a specific task, and general or strong AI, which is capable of understanding and performing any intellectual task that a human being can.Areas of AI:AI Engineering: AI engineering involves the application of engineering principles to the design, development, and deployment of AI systems. It encompasses various stages, including data collection, model development, training, testing, and deployment. AI engineers work on creating robust, scalable, and efficient AI systems.
Machine Learning (ML): A subset of AI that involves the development of algorithms and statistical models that enable computers to perform tasks without explicit programming.
Natural Language Processing (NLP): Focuses on the interaction between computers and humans using natural language.
Computer Vision: Involves enabling computers to interpret and make decisions based on visual data.
Engineering Artificial Systems: This interpretation could refer to the broader concept of designing and building systems that mimic or replicate certain aspects of natural or artificial phenomena. It may include the creation of systems that imitate biological processes, robotic systems, or other artificial constructs.Examples:
Bio-Inspired Engineering: Creating systems that mimic biological processes, such as robots inspired by animal locomotion or algorithms based on neural networks.
Systems Engineering: The application of engineering principles to the design and integration of complex systems, considering aspects like requirements, interfaces, and system behaviors.
