AI Techniques

AI techniques refer to the methods and algorithms used in artificial intelligence to enable machines to perform tasks that typically require human-like intelligence, such as learning, reasoning, perception, and decision-making. These techniques include machine learning, natural language processing, computer vision, expert systems, and robotics. Machine learning involves training algorithms to recognize patterns in data and make predictions or decisions based on that data. Natural language processing enables machines to understand and interpret human language, while computer vision allows machines to interpret and analyze visual information. Expert systems use knowledge and rules to make decisions and solve problems, while robotics involves the design and development of machines that can perform tasks autonomously or with minimal human intervention.
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  • Complex Event Processing: Complex Event Processing (CEP) is a method of tracking and analyzing real-time data from various sources to identify patterns and relationships and derive insights. It involves processing and correlating large volumes of data from multiple ... Read More >>
  • Probability Distributions: Probability distributions are mathematical functions that describe the likelihood of obtaining different possible outcomes from a random event. In data science, probability distributions are used to model and analyze data, and to make predi ... Read More >>
  • Laser-based Sensors: Laser-based sensors are devices that use laser technology to detect and measure physical properties such as distance, position, velocity, and temperature. These sensors emit a laser beam that interacts with the target object and measures th ... Read More >>
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