Scientific research and business have always gone hand in hand. One being at the service of the other, it is quite obvious that the two sectors use mutually. The University of Montreal, at the forefront of intelligence research has benefited from recognition by the Canadian government of its role essential with a check for $100 million to support research in the domain. Another even juicier support of equivalent value if not more, comes from industrial partners. The research at the University of Montreal is embodied by a pioneer in the domain. His name is Joshua Bengio. He was born in Paris, France. He's from Moroccan. He is a professor in the computer science department of the University of Montreal and he is both a specialist in artificial intelligence and a pioneer in deep learning. Deep Learning is a learning technique based on neural networks. Joshua Bengio is the pioneer. He is one of three great researchers who have attracted significant interest in artificial intelligence. The others are Yann Lecun who is a professor at New York University and a scientific collaborator of Facebook, and also the professor from Toronto, Geoffrey Hinton who is at the same time researcher at Google. All this research and the experts of this work do advance businesses. According to an article by Laurent Charlin published in the CAIRN, this amount recorded by the Institute for Data Valorization of the University of Montreal will have to contribute to the synergy between the university and Montreal industries. Of the research in artificial intelligence will therefore be directed towards the design of industrial application. According to several experts in the field, an ecosystem Montreal industrialist in artificial intelligence is starting to push gently. This means that between research and business, it is eternally for the good and for the worse. The repercussions of artificial intelligence in companies are enormous. A lot large companies are using recent discoveries in Artificial Intelligence. Sundar Pichai, the boss of Google also announces that he wants to use learning automatic in a systematic way in all its varieties of products. In their strategies for acquiring companies still in start-up and in targeted recruitment, these big companies like Google, Facebook, Amazon, Microsoft, Tweet and Nuance create their own research, design potential algorithm and artificial intelligence system. All the people who use the facilities of these companies also benefit at the same time to the progress from artificial intelligence. You should know that research is progressing at an incredible speed. The rapidity in the transfer of innovation in industrial production is therefore very large. All happens very quickly. For example, two years were enough for recent phones to be equipped with speech recognition algorithms. Artificial intelligence algorithms are not only reserved for large companies. Large numbers of small businesses use artificial intelligence. Many of them offer a product that comes from AI. A few years ago, artificial intelligence was only used rarely. They were using it just to improve what already existed. The collection and storage of information is actually work that takes care of any company, regardless of size, and operating in different fields. Artificial intelligence has made significant advances recently, which offer the possibility of applying algorithms to this vast data to extract important information. Recent methods are often used to improve the algorithm performance of a previous generation. Artificial Intelligence allows automation in decision-making. Of the artificial intelligence techniques make automation a way to extract of knowledge for the intended purposes. These predictions are then used to make better decisions. As an example if we refer to the preferences known to customers, we can know the order size for each item available and the personal offer intended for each client. There are other algorithms that can authorize predictions and decisions. Trams, metros or Driverless cars are a good example of this kind of system. This genre automation is increasingly studied in academia. Research continues and at unprecedented speed. Like the past prepares the future, many industrial applications should see the light of day soon.
