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and you might be wondering what the website is all about and if you should do the same.

The only additional hardware needed is a USB sound card and a microphone.using a neural net to identify birds from their sounds.

it was clear that there was something wrong with my hardware.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.Gwennap argues the time to close the gap is fading for Graphcore and others because Nvidia keeps getting better with hardware improvement such as Hopper.

because theyre working on different pieces of the data.Also:  AI in sixty secondsGraphcore certainly has money to weather any winter.

  Its interesting: many people say that CUDA is somehow this ecosystem that makes it impossible for anybody else to compete.or are there other operations that we need? asked Toon.