Cognitive AI is a branch of artificial intelligence that mimics human thought processes, enabling machines to learn, reason, and make decisions similarly to humans. It incorporates multiple AI techniques, including machine learning, natural language processing, and computer vision.

Key Concepts of Cognitive AI:

1. Perception
   • Involves processing sensory input such as text, speech, and images.
   • Uses technologies like computer vision and speech recognition.
2. Learning
   • Utilizes machine learning (ML) and deep learning to improve over time.
   • Learns from data and past experiences without explicit programming.
3. Reasoning
   • Applies logic to make sense of information.
   • Uses techniques such as symbolic AI and probabilistic reasoning.
4. Natural Language Processing (NLP)
   • Enables AI to understand, interpret, and generate human language.
   • Used in chatbots, virtual assistants, and language translation.
5. Memory & Knowledge Representation
   • Stores and retrieves information for decision-making.
   • Uses databases, knowledge graphs, and ontologies.
6. Decision Making
   • Uses AI models to analyze data and make informed choices.
   • Often involves reinforcement learning for adaptive decision-making.

Examples of Cognitive AI Applications

• Virtual Assistants (e.g., Siri, Alexa, Google Assistant)
• Healthcare AI (e.g., IBM Watson for diagnostics)
• Autonomous Vehicles (self-driving cars using AI perception)
• Fraud Detection (AI models analyzing transaction patterns)
• Customer Support (AI chatbots handling customer queries)