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  • SmartFusion2 = mammal brain with insect reflexes?

  • Hi Jerry, interesting comparison insect = FPGA, mammal = CPU.

    I think for the future of our machines, the key will be an optimized FPGA front end serving initial data extraction and compression and a multi core GPU back end for rapidly processing supplied data and responding.

  • in the nature world, insect has an eye looks like light field optical sensors running on FPGAs; and mammals more like a CPU comparing to FPGA, for learning new things.

    a instruction based platform will be much more flexible, but FPGA platform will be deadly efficient.

  • You are the undisputed champions of the real time autonomous fly !!

    Reading your papers is like music, it just sounds great.  I really wish that you could make some of your FPGA code available, in particular the semi-global matching stereo (SGM):

    The FPGA allows us to implement the algorithm in hardware, making it vastly more efficient than a CPU or GPU implementation. We run it on a small, lightweight FPGA and companion CPU board that is 76 mm x 46 mm and weighs 50 grams

    This is 5 times faster and 5 times more power efficient than a standard implementation as we can compare in this paper :

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