Cognitive Computing
What is Cognitive Computing?
Cognitive computing refers to technology platforms that, broadly speaking, are based on the scientific disciplines of artificial intelligence and signal processing. These platforms encompass machine learning, reasoning, natural language processing, speech recognition, vision, human-computer interaction, and more. The goal of cognitive computing is to create automated IT systems that are capable of solving problems without requiring human assistance. They achieve this by using data mining, pattern recognition, and natural language processing to mimic the way the human brain works. Unlike traditional AI, which is focused on algorithmic accuracy and problem-solving, cognitive computing aims to understand and simulate human thought processes, providing more intuitive and human-like interactions.
A subset of artificial intelligence that simulates human thought processes in a computerized model.
Examples
- IBM Watson: IBM's Watson is a well-known example of cognitive computing. It uses natural language processing and machine learning to extract information from vast amounts of data and provide insights in a conversational manner. Watson has been used in healthcare to assist doctors in diagnosing diseases and suggesting treatment plans.
- Google Assistant: Google Assistant leverages cognitive computing to understand and process human speech. By recognizing voice commands, it can search the web, set reminders, and control smart home devices. It's designed to offer a more natural interaction between humans and machines.
Additional Information
- Cognitive computing systems are designed to improve over time by learning from interactions and data inputs.
- These systems can handle complex, ambiguous, and unstructured information, unlike traditional computing systems.