ai-hardware-engineer-path

a self-study guide for AI hardware engineers, covering a wide range of topics from foundational knowledge to advanced FPGA and acceleration techniques, Nvidia Jetson and edge AI, and more.

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Created at: 5 months ago
Updated at: 5 months ago
Pushed at: 5 months ago
Last synced at: 5 months ago

Topics: computer-vision, digital-design, edge-ai, embedded-linux, embedded-system, hls, hpc, lidar, nvidia, nvidia-jeston, opencl, risc-v, rtos, sdr, security, sensor-fusion, verilog, xilinx

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GitHub / secure-firmware / ai-hardware-engineer-path