Yoshua Bengio: Yoshua BengioOCFRSC (born 1964 in Paris, France) is a Canadian computer scientist, most noted for his work on artificial neural networks and deep learning. He was a co-recipient of the 2018 ACM A.M. Turing Award for his work in deep learning. He is a professor at the Department of Computer Science and Operations Research at the Université de Montréal and scientific director of the Montreal Institute for Learning Algorithms (MILA). Geoffrey Hinton: Geoffrey Everest HintonCCFRSFRSC (born 6 December 1947) is an English Canadiancognitive psychologist and computer scientist, most noted for his work on artificial neural networks. Since 2013 he divides his time working for Google (Google Brain) and the University of Toronto.
Institut Curie, PSL Research University, CNRS UMR168, Paris, France We introduce DeepMoD, a deep learning based model discovery algorithm which seeks the partial differential equation underlying a spatiotemporal data set. DeepMoD employs sparse regression on a library of basis functions and their corresponding spatial derivatives. A feed-forward neural network approximates the data set and automatic differentiation is used to construct this function library and perform regression within the neural network. This construction makes it extremely robust to noise and applicable to small data sets and, contrary to other deep learning methods, does not require a training set and is impervious to overfitting. We illustrate this approach on several physical problems, such as the Burgers', Korteweg-de Vries, advection-diffusion and Keller-Segel equations, and This resilience to noise and high performance at very few samples highlights the potential of this method to be applied on experimental data. The increasing ability to generate large amounts of model discovery turns into finding a sparse representation data from complex physical, biological, chemical and social of the coefficient vector ξ. Rudy et al.  introduce the systems is beginning to transform quantitative science.regression
FILE - In this Monday, Aug. 28, 2017 file picture, France's President Emmanuel Macron walks down the steps of the Elysee Palace, with his newly adopted dog, a labrador crossed griffon named Nemo, as he prepares to welcome the President of Niger Mahamadou Issoufou, in Paris, France. Macron's dog Nemo interrupted a meeting his master was having with members of his government when he urinated against a fireplace in the Elysee Palace.
France's President Emmanuel Macron waits on the steps of the Elysee Palace, with his newly adopted dog, a labrador crossed griffon named Nemo, as he prepares to welcome the President of Niger Mahamadou Issoufou, in Paris, France, Monday, Aug. 28, 2017. The leaders of France, Germany, Italy and Spain are meeting with African counterparts to find ways to curb illegal migration across the Mediterranean to European shores.
At the TechCrunch Disrupt conference in London, Director of Station F Roxanne Varza unveiled that Paris, France, will host Europe's largest tech startup incubator. Although unexpected, TechCrunch's decision to leave London and return in December to Berlin, where it actually held its first European technology startup event 4-years ago, is no surprise. Based on research conducted at many "Startup Hubs" around the world, including Beijing, Bogota, Helsinki, Medellin, Munich, Paris, Pereira, Shanghai, Shenzhen, Singapore and in a few weeks in Canada (Montreal, Quebec, Toronto and Vancouver), Atherton Research views Berlin as Germany's main hub for fast growing innovative technology companies and certainly one of Europe's most startup-friendly cities with cheap rents, multi-cultural talents, entrepreneurs with an open and global mindset and support from the local government. "I like to come here and stay in Berlin for its creative spirit and intellectual freedom," said Alexander Mankowsky, a futurist at Mercedes-Benz parent Daimler, attending The Hub, an annual technology conference produced in Berlin by Bitkom, the largest technology trade association in Europe. "It's also a great way for me to escape from the more financial and technical aspects of my work, and think about what's next."