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What is Edge Computing?

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Edge Computing brings computing resources closer to the source of data generation, reducing latency and improving response times. By processing and analysing data locally on edge devices such as IoT Devices or Edge Servers, businesses can handle real-time applications and achieve faster data insights. Edge Computing is especially valuable for AI applications that require low-latency and efficient use of network bandwidth.

Other Definitions

Instance-Based Learning

Instance-Based Learning is an AI approach where models make predictions based on similarity to previously seen examples. Instead of generalising from a predefined set…

Zero-Shot Learning

Zero-Shot Learning is an AI approach that enables models to learn to recognise new classes or concepts without explicit training examples. This is achieved…

Weak AI

Weak AI, also known as Narrow AI, refers to AI systems designed to perform specific tasks with human-like intelligence, but without true general intelligence….

Speech Recognition

Speech Recognition enables machines to understand and interpret spoken words. By applying natural language processing techniques and AI models, businesses can develop speech recognition…
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