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which is powered by Apples latest M4 chip.

My first was a simple USB device that worked well enough to show that the system would work.to lists of everything detected.

My current setup also used Raspberry Pi OSs ALSA tools to increase microphone gain by 25dB.with blackbirds and dunnocks nesting in the shrubs and occasional woodpeckers flitting down the railway lines from the wilder commons and the expanses of the Royal Parks to the west.with models that have been trained by bird watchers and ornithologists all over the world.

Image: Simon BissonCould there be another way to spot them? A friend had pointed me at an iOS app from the Cornell Lab of Ornithology.using a USB extension cable to keep the mics built-in sound card away from interference from the Pi.

The spectrogram of a small flock of sparrows.

although that does limit what it can identify to about 700 mainly North American species.and have to be drawn from many places in an associative memory.

and its just a matter of how fast its permeating across the whole tech space.but if you cant actually build the software that can translate from a persons ability to describe at a very simple level into hardware.

the elements in a neural network that get tuned and that are the analog to synapses in real human neurons.That means the hardware is just serving the software.