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Yoshua Bengio
Yoshua Bengio (born March 5, 1964) is a Canadian computer scientist, most noted for his work on artificial neural networks and 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). Bengio received the 2018 ACM A.M. Turing Award, together with Geoffrey Hinton and Yann LeCun, for their work in deep learning. Bengio, Hinton, and LeCun, are sometimes referred to as the "Godfathers of AI" and "Godfathers of Deep Learning". Early life and education Bengio was born in France to a Jewish family who immigrated to France from Morocco, and then immigrated again to Canada. He received his BScience (electrical engineering), MEng (computer science) and PhD (computer science) from McGill University. Bengio is the brother of Samy Bengio, who was a scientist at Google. The Bengio brothers lived in Morocco for a year during their fa ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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Paris
Paris () is the capital and most populous city of France, with an estimated population of 2,165,423 residents in 2019 in an area of more than 105 km² (41 sq mi), making it the 30th most densely populated city in the world in 2020. Since the 17th century, Paris has been one of the world's major centres of finance, diplomacy, commerce, fashion, gastronomy, and science. For its leading role in the arts and sciences, as well as its very early system of street lighting, in the 19th century it became known as "the City of Light". Like London, prior to the Second World War, it was also sometimes called the capital of the world. The City of Paris is the centre of the Île-de-France region, or Paris Region, with an estimated population of 12,262,544 in 2019, or about 19% of the population of France, making the region France's primate city. The Paris Region had a GDP of €739 billion ($743 billion) in 2019, which is the highest in Europe. According to the Economis ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |