The machine smells correctly, when the same numbers (or similar when using some norm, e.g. the L2) appear for the same smell (reproducibility) and therefore a mapping (numbers -> smell) can be created. When this starts to exist (practically usable), there can be a database to store the mappings, allowing classification. E.g., the machine says "this tastes like banana". The machines/algorithms/products could itself be rated for precision.
I dont say such machines don't exist, but for my taste (pun intended) the solutions all lack something, either long term stability or having a second source supplier or being able to classify a reasonable amount of tastes or being able to distinguish between two tastes (or lacking all those things together).
Or install direnv and put your dependencies into a shell.nix, setup the bash hook according the manual, create the .envrc with the content "use nix". Then type "direnv allow".
Then you can do e.g. use other persons python scripts without modifying their shebang.
The technology is widespread, you can buy spools of wires and wind your own coils. A spool might still be in the range of 3k$+, probably due to the manufacturing costs of all those single wire strands.
However, as we already know, the superconductivity currently starts only at low temps and I think the wires are limited by a maximum current (max field density?)
If you handle the spool, NEVER lose the beginning of the wire, always fixate it, otherwise there might be a knots after some unspooling, then you might need to buy a new one.
I dont say such machines don't exist, but for my taste (pun intended) the solutions all lack something, either long term stability or having a second source supplier or being able to classify a reasonable amount of tastes or being able to distinguish between two tastes (or lacking all those things together).
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