Edge AI
● Edge AI relocates the training and inference of artificial intelligence models directly to the edge of networks, as close as possible to data sources such as self-driving cars or smartphones
● This approach removes reliance on the cloud to drastically reduce latency, reinforce data privacy, and optimize the system's energy efficiency.
● Through optimization techniques like pruning and quantization, this technology ensures real-time performance essential for the safety and responsiveness of onboard systems.
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● This approach removes reliance on the cloud to drastically reduce latency, reinforce data privacy, and optimize the system's energy efficiency.
● Through optimization techniques like pruning and quantization, this technology ensures real-time performance essential for the safety and responsiveness of onboard systems.
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