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Oxford Brookes University hosts £5 million project to document endangered wooden buildings

 E-Mail IMAGE: Heralded as China s oldest woven-arch timber bridge, the Rulong ( like a dragon ) Bridge was constructed during the Ming dynasty in 1625 and renovated between 1821 and 1859 during the Qing. view more  Credit: Ronald G. Knapp, 2019. The School of Architecture at Oxford Brookes Univ ersity has started a £5 million grant-giving programme, to improve the documentation of endangered wooden architecture throughout the world and make records freely available online. The Endangered Wooden Architecture Programme (EWAP) has been made possible through a grant from Arcadia - a charitable fund of Lisbet Rausing and Peter Baldwin, and will be delivered in collaboration with CyARK, a non-profit organisation that digitises and shares significant cultural heritage.

When AI is used to set prices, can inadvertent collusion be a result?

Machine learning can be an effective tool to set competitive prices. Artificial intelligence has its limits on how to set the most effective prices due to variables beyond the seller s control. Over the long term, supracompetitive pricing can result. CATONSVILLE, MD, January 12, 2021 - Machine learning and artificial intelligence (AI) are perfectly suited to help companies and marketers monitor and set prices based on real-time dynamic pricing. But new research has identified some possible unintended consequences of AI in this area. Machine learning algorithms don t always account for factors outside of the seller s control, such as competitor prices. Researchers found that if AI algorithms are setting prices over the long term, a monopolistic price effect is possible, essentially creating a collusive pricing environment in the marketplace. This represents a challenge for policymakers as the researchers show that independent AI pricing algorithms can result in supracompetitive

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