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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

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…

Time Series Analysis

Time Series Analysis is an AI technique that analyses data points collected over time. This approach involves detecting trends, patterns, and seasonality in the…

Modular Neural Networks

Modular Neural Networks are AI models composed of smaller interconnected modules, each responsible for a specific sub-task or component. These modular architectures allow for…

Autonomous Agents

Autonomous agents are AI systems that can perform actions and make decisions independently, guided by predefined goals or learning processes. Businesses leverage autonomous agents…
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