Embedded systems are integrated into AI hardware solutions by the addition of specialist processors, such as GPUs and TPUs, designed for efficient parallel processing of AI algorithms. Edge decision-making and real-time data processing are made possible by the hardware integration of these systems. They are made up of communication modules, microcontrollers, and sensors that collect, process, and transmit data. This makes it possible for AI applications to operate correctly in environments with bad connections. This connection enhances the scalability, performance, and reliability of AI solutions for many applications. To become an expert in this integration, think about enrolling in an embedded system certification course.
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