AI to promote the wisdom of logistics upgrades


Today, China's logistics industry is developing rapidly, the scale of the entire Chinese logistics industry, the integration with other industries, and the relationship with the social economy, etc., have reached a new level. Chinese express industry in the rapid development at the same time, also in the experience of the new technology of cloud computing, big data, artificial intelligence, networking and other shocks, operation mode and management concept of these new technologies to subvert the express industry constantly. By July 15th, the number of science and technology, science and technology, Chinese SF titanium Media Co hosted the "AI+ intelligent logistics Roundtable forum" lecture in Shenzhen, focusing on logistics industry statistics, the whole chain of machine learning in artificial intelligence, operational research and so on force.

Statistical machine learning algorithm, speed up the popularization of artificial intelligence

Martin Wainwright is a famous international statistical and computational science experts, as a professor at University of California at Berkeley and a global statistical COPPSS top award winner in 2014, Martin pointed out that the development of the Internet today, Internet and other technologies have been collecting and storing the cosmic huge data. Furthermore, a data object with thousands of even tens of thousands of dimensions (attributes), also known as the "high dimensional data", and is constantly expanding. When computing and storage devices can capture so much data, the problem is how to reduce the dimensionality of the data universe, resulting in limited time and cost in the understanding and reflection of the real world. Martin introduces a new statistical machine learning algorithm, Newton Sketch, which has been used in the past two years. This algorithm is helpful for the rapid optimization, analysis and understanding of large scale datasets. He stressed that the Newton Sketch can be used to calculate the cost of shorter computation time and lower to deal with high dimensional data set of large scale and high dimensional neural network, which has an important meaning for the rapid popularization of artificial intelligence in the field of business. As Martin said, most of the data in real life "living" in "high dimensional space", the more simple way to deal with the more practical significance. As the Martin international academic experts to introduce statistical machine learning algorithm to Chinese, is expected to accelerate the artificial intelligence to solve the Chinese phenomenon of big data challenges, make artificial intelligence algorithm to real ground engineering, play an important practical significance for the research and modeling of city transportation, smart logistics, power network and complex system the acceleration to create business value.

Logistics is the science of computing

SF group CTO, SF CEO Tian min at the beginning of the speech reviewed the origin of the word "logistics", and pointed out that "Logistics" derives from the Greek Logistikos, meaning "computational science"". In 1830s, the Napoleon political historian A.H in summing up the lessons of Russian Jomini syndrome failure in Logistics first use. The concept and theory of logistics first came into being in the United States, originated in 1930s, intended to be "physical distribution" or "goods distribution"". Was introduced in Japan in 1963, a Japanese translation for "material circulation". After 1970s, the word "logistics" in Japanese gradually replaced "the circulation of things"". Chinese "logistics" is a term from the Japanese to introduce foreign words. The word "logistics" presents the image of things in a very vivid and vivid way, but loses the original intention of scientific calculation, so today we are talking about logistics is considered to be carrying goods. We talk about logistics, not only to talk about the flow of things, but also to talk about the science of computing". Therefore, the media technology with the SF titanium fir technology with the number of hosting this event, is to be calculated together to explore and research in the field of logistics science, only through scientific computing can help improve operational efficiency, reduce logistics cost. In addition, only by correctly understanding the origin of logistics, can we accurately analyze the current situation and problems of logistics, and then move towards the future of intelligent logistics.

Intelligent logistics driven by data and computation

Intelligent logistics is through big data, cloud computing, intelligent hardware and other intelligent technology and means to improve the logistics system of thinking, perception, learning, decision-making and implementation of the intelligent analysis capabilities, enhance the intelligence and automation level of the whole logistics system, so as to promote the development of logistics, reduce logistics costs and improve efficiency. Tian Min thinks, a good logistics company must be through data, calculation to run, if the logistics company to abandon the calculation, is to give up the future, give up their own right to survival. Intelligent logistics includes two characteristics, the first is interoperability, data driven, second is the depth of synergy, efficient implementation. The so-called interconnection, data driven, all logistics elements interconnection and digital data, to drive all the insight, decision and action; deep collaboration, efficient implementation of cross group, cross enterprise, cross organizational collaboration between the depth, the global optimization algorithm based on intelligent, efficient collaboration of all parties involved in the scheduling of the entire logistics system in.

SF has a huge amount of data, if you convert these data into information, you can produce higher value. Tian Min believes that the data driven future logistics must be highly coordinated within the community, rather than the self operation of a single company. Today the SF has a more open platform is Fengchao highly open, highly collaborative platform, it can quickly be accepted, is the embodiment of "interoperability, data driven, collaborative and efficient implementation of the depth of the trend.

AI promotes logistics transformation

Next, Tian min introduced four core elements, five strategies and six criteria for evaluating the maturity of AI technology for AI to promote logistics transformation. The four core elements of AI are data and scenes.



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