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What is Uncertainty in Artificial Intelligence?

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Uncertainty in AI refers to the unpredictability or lack of full knowledge about a situation or outcome. AI models often encounter uncertainties due to incomplete or noisy data. Techniques such as Bayesian Inference and Probabilistic Graphical Models are used to quantify and manage uncertainty in AI.

Other Definitions

Edge Computing

Edge Computing brings computing resources closer to the source of data generation, reducing latency and improving response times. By processing and analysing data locally…

Data Preprocessing

Data Preprocessing involves preparing and cleaning raw data before analysis. By removing noise, selecting relevant features, and addressing missing values, businesses can ensure data…

Pattern Recognition

Pattern Recognition is an AI technique that recognises patterns and structures in data. This approach involves identifying common features or characteristics and using these…

Human-in-the-Loop

Human-in-the-loop refers to a collaborative approach where humans and AI systems work together to achieve optimal results. It involves combining human expertise, judgement, and…
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