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The Best of AI: New Articles Published This Month (November 2019)

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Welcome to the November edition of our best and favorite articles in AI that were published this month. We are a Paris-based company that does Agile data development. This month, we spotted articles about AI that can identify who wrote each scene in Shakespeare's Henry VIII, and teach non-native speakers how to pronounce English words! Let's start, as usual, with the comic of the month: In a recent article researchers describe how they trained machine-learning algorithms to predict what features in a song would impact people's emotional responses. They predicted brain and heart activities as well as physiological response using features based on music dynamics such as timbre, harmony, etc...


CENSIS helps launch pioneering AI system - CENSIS

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Ground-breaking AI technology being developed in Scotland will soon enhance Police Scotland's use of remotely piloted aircraft systems (RPAS) to find missing and vulnerable people. The technology, thought to be the first of its kind used by police forces in the UK, is a form of machine learning that provides real-time image analysis for identifying humans in rural areas. It has been developed by a consortium of partners – CENSIS, Thales UK, University of the West of Scotland and Police Scotland. With core AI development work complete and trials of the new system already underway, the project team expects the technology to be deployed in searches for missing and vulnerable people in Scotland in the near future. The technology identifies where a human being is located, rather than an individual.


AI recognition drones to help find the missing

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Police Scotland has unveiled a new aerial drone system to help in searches for missing and vulnerable people. The remotely-piloted aircraft system (RPAS) can see things we can't to try to work out where people are. It uses advanced cameras and neural computer networks to spot someone it is looking for - from "a speck" up to 150 metres away. Its recognition software is compact enough to be run on a phone, with the technology learning as it goes. "The drone itself has very special sensors on it," said Insp Nicholas Whyte, of Police Scotland's air support unit.