Zero rhino technology joined hands with the intelligence Club: the "causal faction" forum was successfully held, and the "causal revolution" brought the next generation of trusted AI

Building “ trusted AI The ecological system ” The key is to have credible AI technology , And cross fusion “ Causal Science ” Cause and effect AI As the next generation of credible AI Technology has gone deep into the domestic academic frontier and business practice .

7 month 2 Japan , It is jointly built by zero rhino technology and smart Club , It aims to accelerate the integration and exploration of AI academia and industry in the field of causal Science “ Causal school ” The forum was successfully held in Beijing . Forum site , Tension, the chief scientist from zero rhino Technology , Doctoral tutor of Chongqing University 、 Professor Liu Li , And the dean of the computer department of Tsinghua University, an associate professor 、 Doctoral supervisor cuipeng , Bring theme sharing around their own considerable business practice and academic research . This forum uses “ on-line + Offline ” The way to unfold , Co attraction comes from academia 、 Industry 、 Nearly 10000 people including media, experts and scholars participated , Just “ Distribution generalization of recommendation system  ” “ Causal learning and application ”“ Causal challenges in intelligent services ” In depth sharing and discussion , For domestic cause and effect AI Academic research and business practice have laid the head goose demonstration effect .

among , Zero rhino technology has created “ Demand inquiry ” System , And “ Man machine integration ” The first cognitive intelligence company to cut into the sales scene , Can achieve in-depth “ Understand and stimulate needs ”, For many financial 、 insurance 、 Partners such as the Internet provide agent sales services through customs clearance . And on the other hand , Chi Chi Club was founded in  2003  year , Dedicated to discussing and reporting the latest progress in the field of complexity science and artificial intelligence . Based on the form of intelligent scientific community , Smart Club focuses on the field of complex systems , Covering material science 、 Life science 、 Social Sciences 、 Information science and many other disciplines intersect , Carry out in-depth discussion and Thinking on many scientific topics including causal Science .

Founder of zero rhino Technology 、CEO Xia Zhongpu said in his opening speech ,“ The accumulation of technology in the field of artificial intelligence is a long process , In this process, we continue to explore landing AI Its commercialization path . Groping forward , Zero rhino technology adheres to the theory and thinking of embracing change and cutting-edge innovation , Agile application of academic theories to industrial practice , And constantly shape its commercial value and creativity .”

Icon ： Zero rhino technology founder and CEO Xia Zhongpu

The specific term , First of all, in terms of theoretical guidance , Zero rhino technology believes that in the real world , Objectively observed user selection results , Users often integrate various factors （ Such as supply 、 Price 、 Time 、 Character, etc ） The result of compromise , Deduce user requirements from user decisions and determine user classification , It's like a blind man touching an elephant, lacking overall information . therefore , The theory of user understanding and characterization needs to be upgraded and updated , It should be through subjective needs 、 User preferences 、 Mining and restoration of decision constraints , In order to deeply understand the real needs of users . Only rely on user click action and user background information to guess user needs , It's like relying on a few sections to guess “ Real needs ” You can't believe it .

secondly , Technical support , Zero rhino technology will cause and effect AI Build up as the core of Technology . Cause and effect AI Subjective needs of users 、 Preference 、 Intention 、 The mining and restoration of decision constraints play a key role . In recent years , AI has achieved fruitful results in perceptual intelligence , But machine learning based on neural network essentially depends on the correlation calculation of statistical data fitting , It is difficult to actively understand the laws and reasons behind the development of things . The science of causality studies causality and keeps answering “ Why? ” The subject of , After the cross integration of artificial intelligence , It can make AI reasoning 、 When making decisions and other calculations , Regard the real world as a changing world and excavate causality in change , Then find the direction and means of controlling causality , Simulate the implementation path and different effects , Finally find the best path , This will also bring greater imagination to the industrial practice of artificial intelligence .

In recent years , More and more attention has been paid to the cross application and exploration of causality .2021 The last Nobel Prize was awarded by the University of California, Berkeley David Card、 MIT's Joshua D. Angrist And Stanford university Guido W. Imbens, With the contribution of analyzing causality from natural experiments . And earlier ,2019 year ,Yoshua Bengio Due to deep learning and the development of causal theory , And won the Turing Award, the highest honor in the field of Computer Science , He thinks that ： Deep learning works well under ideal circumstances , But if causality cannot be inferred , It is impossible to approach the level of human intelligence , How to integrate causality into AI Technology is a big deal .

Last , In theory and Technology “ Strong alliance ” Next , Landing mode has become a key element of Engineering , It has to be mentioned “ Man machine integration ”. In particular ,“ Man machine integration ” It is a kind of 、 machine 、 The new intelligent mode produced by the interaction of environmental systems . This mode is different from that in a single link “ Let people use intelligent tools ” Compared with the way of improving efficiency , It can take the overall optimal effect as the goal , And assign different tasks according to their advantages , So that people and machines are in the same position , In collaboration, every decision and action will be made towards the double improvement of final efficiency and effect . As early as 2019 year , The seventh meeting of the Central Commission for comprehensively deepening reform proposed ： Build data drivers 、 Man machine cooperation 、 Cross-border integration 、 The intelligent economic form of CO creation analysis . It's not hard to see. ,“ Man machine integration ” The engineering mode of has gradually become AI One of the important modes of technology landing .

Conference site , Zero rhino technology also jointly released the focus on cause and effect AI“ Production, ” Sub brand of direction “ Causal school ”. This joint creation , It further demonstrates the effective integration of resources and capabilities of zero rhino technology and smart Club , Determination to further release the potential of causal Science in the industry .

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Icon ： Zero rhino technology and Jizhi Club officially released their sub brands “ Causal school ”

（ From left to right ： Wang Ting, the person in charge of the operation of Jizhi Club , Zhang Jiang, the founder of Jizhi Club , Xia Zhongpu, founder of zero rhino Technology ,  Zero rhino Technology CTO Zeng Wenjia , Zhang Fan, head of marketing department of zero rhino technology brand ）

Besides , From academia 、 Guests from the industry focus on cause and effect AI It brings sharing . The chief scientific tension of zero rhino technology points out , In the service industry, it is not enough to understand users only based on observation data , Need to understand behind “ Why? ” In order to better meet the needs , Zero rhino technology is based on cause and effect AI Technology can realize deeper deconstruction of users , So as to “ demand ” To explore the truth and restore , Achieve credible 、 The stable global effect is the best , Finally, it will bring significant gain results to the business growth of partners .

Doctoral tutor of Chongqing University 、 Professor Liu Li starts with the concept of basic technology “ Shallow in, deep out ” This paper introduces the current situation with Pearl Structural causal model and Rubin The potential result model of is the mainstream two sets of causal models , And shared its application in image recognition 、 Application cases in human behavior and other fields . Professor of computer science, Tsinghua University 、 Cui Peng, the doctoral tutor, is in the near future “ The latest development trend of causal inference technology and its application in Recommendation System ” Bring a keynote speech , He pointed out that bridging the gap between causal reasoning and machine learning , The first is to solve how to identify the causal structure in large-scale data . The second is to integrate with machine learning . Third, we need to go further from the prediction problem to the design of decision-making mechanism , Think about how to use these causal structures to help us optimize our decisions , That is, counterfactual reasoning and decision optimization mechanism . Online and offline audiences also “ Real practice in the service industry , Recommendation system application of causal inference 、 Cause and effect AI The current development ” And other questions to interact with the on-site guests , And expressed from this activity “ Full of harvest ” The feeling of .

It's not hard to feel , trusted AI Is becoming the next generation AI The core of , Be placed in great expectation . future , Zero rhino technology will continue to be credible AI Continue to expand boundaries in the exploration of commercialization , Bring more creativity ！