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IEEE/ICACT20260254 Slide.20        [Big Slide]       [YouTube]	Oral Presentation
	In conclusion, we proposed an MLP based FPGA hardware accelerator for real time destination prediction. Our 4 layer architecture reduces complexity compared to LSTM while achieving 68.53 times speedup and sub millisecond response time. This demonstrates the viability of Edge AI inference in automotive embedded environments.

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