Fan love child's entrepreneurial community MindStore, invited Zhang Fan, founder of travel trick with artificial intelligence approach, rational view of emotional tour. If ten years ago, travel options accommodation select hotels. Later, I used to think the idea of engineers, this proposal should not an optimal solution because I accidentally found to have discount tickets and rail passes method to save money. If you go to three cities tour, three factorial, if travel to ten cities, the ten factorial, that is 3.6 million light permutations have 360 million possible, then consider the various modes of transportation, it is ten million series object selected.

Google also informed that why it took initiative to have a research center in Europe because world's top technical universities reside in Europe. This isn't Google first research center in Europe either. Google Germany, the research center for artificial intelligence in a nonprofit and base home to 450 scientists, academics and other researchers who work mostly on language technology, embedded intelligence, augmented reality, knowledge management and multimedia analysis, and data mining. Google later invested Oxford Universities AI research team in the startup project.

On Thursday, tech giant Google announced that it is opening a new research center in Europe, dedicated to machine learning. According to the details shared by Emmanuel Mogenet – chief of Google Research for Europe – in a recent blog post, the key focus of the new research group in Europe will be on three AI areas --- machine intelligence, machine perception, and natural language processing and understanding. Mogenet further specified that the main objective of the research group in Europe will be to find new ways in which machine learning infrastructure can be improved, and how the technology can be put it into practical use. In addition, the new AI-focused research group will also work for the advancement of Natural Language Understanding – that is, the capability of machines to understand and process human language – in close collaboration with linguists.

In 1991, Ford Motor Company began deployment of CAPE (computer-aided parts estimating system), a highly advanced knowledge-based system designed to generate, evaluate, and cost automotive part manufacturing plans. CAPE is a highly significant system for Ford of Europe in terms of the business needs it satisfies and the corporate acceptance of AI applications: First, CAPE represents a major investment, with significant person-years of effort spent on predeployment development alone. Second, CAPE is the first large-scale production expert system to be deployed within Ford of Europe. CAPE reduces estimating response time by 50 percent.