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using a neural net to identify birds from their sounds.

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.

but it sends notifications for every detection.

I suspect it will be easier to write my own Twitter client for the package in Python to get the type of more complex and nuanced notifications I want.Graphcore has 650 employees.

Battles between tech giants.  The challenge around that is.

I think you could always have more money and a bigger team.youre increasing the compute by a multiplicand of those two pieces.