Machine Learning:
Machine Learning refers to the field of artificial intelligence that focuses on developing algorithms and models that enable computer systems to learn and improve from experience without being explicitly programmed. It involves training algorithms on large datasets to identify patterns and make predictions or take actions based on the learned knowledge.
Cognitive Computing:
Cognitive Computing refers to a branch of artificial intelligence that aims to create computer systems capable of mimicking human cognitive processes. It involves the use of algorithms and models to understand, reason, learn, and interact with humans in a natural and intelligent manner.
Neural Network and Deep Learning:
Neural Networks are computational models inspired by the structure and function of biological neural networks. Deep Learning is a subset of neural networks that involves training multiple layers of interconnected neurons to learn and extract complex patterns from large datasets, often leading to superior performance in tasks such as image and speech recognition.
Natural Language Processing (NLP):
Natural Language Processing is a field of artificial intelligence that focuses on enabling computers to understand, interpret, and generate human language. It involves techniques and algorithms to analyze and process natural language data, enabling tasks such as language translation, sentiment analysis, and question answering.
Reinforcement Learning:
Reinforcement Learning is a type of machine learning where an agent learns to make sequential decisions through interaction with an environment. The agent receives feedback in the form of rewards or penalties, guiding its learning process to optimize long-term goals and maximize cumulative rewards.
Chatbot:
A Chatbot is a computer program designed to simulate human conversation and interact with users through natural language. Chatbots can provide automated responses, answer questions, assist with tasks, and offer personalized recommendations, often using techniques from NLP and machine learning.
Virtual Assistant:
A Virtual Assistant is an AI-powered software agent that can perform various tasks and provide support to users. Virtual Assistants are designed to understand natural language queries, execute commands, and provide information or perform actions, often incorporating features of NLP, machine learning, and cognitive computing.
Robotic Process Automation (RPA):
Robotic Process Automation refers to the use of software robots or bots to automate repetitive and rule-based tasks within business processes. RPA systems can mimic human actions, interact with various software systems, and perform tasks such as data entry, data validation, and report generation.
Expert System:
An Expert System is a computer-based system that emulates the decision-making abilities of a human expert in a specific domain. It uses a knowledge base and inference rules to provide expert-level advice, recommendations, and problem-solving capabilities.
Automated Reasoning:
Automated Reasoning refers to the process of using computer algorithms and techniques to derive logical conclusions and make inferences based on given facts, rules, and logical constraints. It involves the use of formal logic and automated theorem proving to analyze and solve complex problems.
Note: The definitions provided here are for a medical professional level and may require further contextualization and adaptation for specific applications in the medical field.
Update:7/8/2023
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