a branch of computer science that enables machines to simulate human intelligence, such as learning, reasoning, problem-solving, and perception. It works by processing vast datasets to recognize patterns, allowing systems to make decisions and predictions, often improving accuracy over time.
Learning (Machine Learning): AI systems are trained on data rather than being explicitly programmed for every task.
- Neural Networks:Algorithms inspired by the human brain that help AI identify complex patterns, such as recognizing faces or
Systems designed to excel at specific tasks, such as voice assistants (Siri, Alexa), recommendation engines (YouTube), or chatbots. This is the only type currently in use.
): A theoretical fGeneral AI (AGIuture AI that possesses human-level intelligence across many domains uperintelligence (ASI): A theoretical concept where AI surpasses human intelligence. ] Generative AI: Tools that create content, such as ChatGPT for text and Midjourney for images. Recommendation Algorithms: Used by Netflix, YouTube, and social media platforms to predict what you want to see.
Navigation & Vision: Google Maps and Face ID on smartphones.Machine Learning: Algorithms that improve with experience.
Natural Language Processing (NLP): Understanding and generating human language.
Computer Vision: Interpreting visual data from the worldfits in healthcare, finance, and automation, it also presents ethical challenges regarding bias and data usage.......