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#1
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Decompilation via circuit images
Is there a good dataset out there containing pictures of many circuits e.g. a carry ripple adder, a Wallace tree multiplier, IEEE floating point operations, barrel shifters, leading zero counters, etc and so forth.
Would it then be possible to train a machine learning model to classify parts of circuits using that, so that to decode a complicated chip or even an FPGA circuit which is rendered as an image in a tool, component by component? It would seem to me like a really powerful way to understand or reverse complex logic circuits. |
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#2
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Quote:
) question in a way you can understand as you seem to be very new to this field.There is something called a search engine. Google is a good example of one. Open it in your browser and type your query in the search bar. You will get a good number of answers. ![]() Replied in your own style.
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#3
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Quote:
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#4
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There is this site siliconpr0n, who contains a lot of die shots.
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| The Following User Gave Reputation+1 to JMP-JECXZ For This Useful Post: | ||
chants (05-15-2024) | ||
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#5
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Infinera 1.6T DWDM DP-64QAM Silicon Photonic Chip Analysis https://outside5sigma.com/infinera-pic-map/
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