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Cognitive computing refers to the use of advanced technologies, including artificial intelligence (AI), machine learning, natural language processing, and data analytics, to simulate human thought processes and enhance decision-making. Unlike traditional computing systems that are primarily based on predefined rules and algorithms, cognitive computing systems are designed to learn, reason, and interact with humans in a more natural and intuitive manner. These systems can understand and interpret unstructured data, such as text, images, and voice inputs, and provide intelligent responses or insights. Cognitive computing aims to augment human intelligence, improve problem-solving capabilities, and enable more effective and personalized interactions between humans and machines.

One of the key characteristics of cognitive computing is its ability to analyze vast amounts of data and extract meaningful information from it. Cognitive systems can process and understand both structured and unstructured data, including text documents, social media posts, images, and sensor data. By employing techniques like natural language processing and machine learning, these systems can identify patterns, trends, and correlations that may not be immediately apparent to humans. This enables organizations to gain valuable insights, make data-driven decisions, and discover new opportunities or risks.

Artificial intelligence and signal processing are included in cognitive computing, which is a term for technological platforms that imitate human mental processes under the influence of cognitive science. This may involve features like artificial intelligence (AI), logic, natural language processing (NLP), audio and image recognition, human-computer interface (HCI), and more.

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