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So, I wrote a bot that looked for Xamarin, MonoTouch and MonoDroid.
We should make a bot that takes Freud's studies and regurgitates them back at you.
Built a bot that uses Natural Language Processing to evaluate whether annotations need to moderated.
Three computer science students created a bot that can detect humor in spoken language.
Cargurus isn't introducing a bot that lets autonomous cars choose their driver.
And creating a bot that can defeat multiple layers of security may be harder than playing first-rate poker.
That is still a long way from a bot that will respond well to anything you say.
This year, Winterstein and Halliwell developed Orla, a bot that helps small businesses improve their reach on Twitter.
By way of a control – well, not really a "control" as this isn't particularly scientific – I wrote a bot that looks for Erlang.
Once someone has tweeted a donation, a bot that Painter wrote periodically checks for these tweets and sends a personalised URL to the tweeter to complete their donation.
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Job-hunters and recruiters both get a virtual assistant through Mya--a bot that helps applicants find jobs and companies fill them.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com