Video game creators at Ubisoft Montréal – the development studio that rebuilt 18th-century Paris in its 2014 historical action game Assassin's Creed Unity – have joined the global outpouring of grief in the wake of Monday's devastating fire at Notre Dame Cathedral. Ubisoft will be donating €500,000 to help with restoration efforts, and is also making Assassin's Creed Unity available free on PC for the next week, "giving everyone the chance to experience the majesty and beauty of Notre Dame the best way we know how", said a studio spokesperson. "We hope, with this small gesture, we can provide everyone an opportunity to appreciate our virtual homage to this monumental piece of architecture." Caroline Miousse, a level artist on the game, spent 14 months working almost exclusively on the cathedral, inside and out. It is furnished and decorated as it would have been in 1790, down to the paintings hanging on the walls.
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Drone footage captured Notre Dame cathedral's beauty just five months before Monday's fire. Video game publisher Ubisoft, which recreated the Notre Dame Cathedral in its 2014 game "Assassin's Creed Unity," is willing to help in restoration efforts. The company announced Wednesday it is making a contribution of 500,000 Euros (about $565,000) to the rebuilding of the cathedral. And the Paris-headquartered game maker said Wednesday it will make its virtual rendition of the cathedral available to those involved in the rebuilding of the church. Ubisoft is also making "Assassin's Creed Unity" available free to players on PC for the next week.
As Notre Dame Cathedral's majestic spire tumbled into the inferno on Monday night, live newsreaders around the world decried the tragic loss of this 12th-century marvel. The great timber roof – nicknamed "the forest" for the thousands of trees used in its beams – was gone, the rose windows feared melted, the heart of Paris destroyed forever. What few realised in the heat of the shocking footage was that much of what was ablaze was a 19th-century fantasy. Like most buildings of this age, Notre Dame is the sum of centuries of restorations and reinventions, a muddled patchwork of myth and speculation. Standing as a sturdy hulk on the banks of the Seine, the great stone pile has never been the most elegant or commanding of the ancient cathedrals, but it became the most famous. Begun in 1163, it was larger than any gothic church before it, employing some of the first flying buttresses to allow taller, thinner walls and larger expanses of glazing – including the spectacular rose windows that projected great cosmic wheels of colour into the luminous interior. "Where would [one] find … such magnificence and perfection, so high, so large, so strong, clothed round about with such a multiple variety of ornaments?"
Our goal is to model expert decision processes in Bridge. To do so, we propose a methodology involving human experts, black box decision programs, and relational supervised machine learning systems. The aim is to obtain a global model for this decision process, that is both expressive and has high predictive performance. Following the success of supervised methods of the deep network family, and a growing pressure from society imposing that automated decision processes be made more transparent, a growing number of AI researchers are (re)exploring techniques to interpret, justify, or explain "black box" classifiers (referred to as the Black Box Outcome Explanation Problem [Guidotti et al., 2019]). It is a question of building, a posteriori, explicit models in symbolic languages, most often in the form of rules or deci-Daniel Braun, Colin Deheeger, Jean Pierre Desmoulins, Jean Baptiste Fantun, Swann Legras, Alexis Rimbaud, Céline Rouveirol, Henry Soldano and Véronique Ventos NukkAI, Paris, France Henry Soldano and Céline Rouveirol Université Sorbonne Paris-Nord, L.I.P.N UMR-CNRS 7030 Villetaneuse, France