Information fusion for future COVID-19 prevention:continuous mechanism of big data intelligent innovation for the emergency management of a public epidemic outbreak

Information fusion is very effective and necessary to respond to a public epidemic outbreak such as COVID-19.Big data intelligent,as a product of information fusion,plays an important role in the prevention and control of COVID-19.The continuous mechanism of big data intelligent innovation(BDII)is fundamental to effectively prevent and control a public epidemic outbreak.In this study,the continuous mechanism of BDII was fused into a complex network,and a three-dimensional collaborative epidemic prevention model was constructed.Furthermore,adiabatic elimination principle was applied to explore the order parameter of the continuous mechanism.Finally,empirical analysis was conducted based on three-stage epidemic prevention strategies to reveal the effect of continuous epidemic prevention under different big data intelligent emergency management policy levels.The results of this study are as follows.Through the mutual influence and coupling of the subsystems,the continuous mechanism of BDII can be realized to manage a public epidemic outbreak emergency.The big data intelligent subsystem is integrated into the subsystems of public epidemic outbreak management and science and technology innovation.The big data intelligent emergency management policies play a positive role in the overall BDII for the continuous epidemic prevention of a public epidemic outbreak.The convention of BDII transformation is the continuous mechanism of BDII as the order parameter of a public epidemic outbreak.In the early stage of epidemic prevention,the convention is excessively pursued,while the neglect of BDII configuration is not conducive to the long-term collaborative governance of a public epidemic outbreak.The study provides practical guidelines for the formulation of fusion innovation policies,application of big data intelligent,and theoretical basis for the emergency management of a public epidemic outbreak in the medical field.

Human-AI Cooperation in Education: Human in Loop and Teaching as leadership

Using the differences and complementarities between human intelligence and artificial intelligence(AI),a hybrid-augmented intelligence,that is both stronger than human intelligence and AI,is created through Human-AI Cooperation(HAC)for teaching and learning.Human-AI Cooperation is infiltrating into all links of education,and recent research has focused a lot on the impact of teaching,learning,management,and evaluation with Human-AI Cooperation.However,AI still has its limits of intelligence,and cannot cooperate as humans.Thus,it is critical to study the obstacles of Human-AI Cooperation in education,as AI plays a role as a partner,not a tool.This study discussed for the first time how teachers and AI cooperate based on Multiple Intelligences of AI proposed by Andrzej Cichocki and puts forward a new Human-AI Cooperation teaching mode:human in the loop and teaching as leadership.It is proposed that humans in the loop and teaching as leadership can solve the problem that AI cannot cope with complex and dynamic teaching tasks in open situations,as well as the limits of intelligence for AI.

Chinese Manufacturing Sector Rides Fourth Industrial Revolution Wave

FACING the pressure of a downward global economy together with many other uncertainties,the question being asked is how a new drive for economic development can be provided.The eye-catching Fourth Industrial Revolution and"Made in China 2025"have become hot topics for the 2017 Boao Forum for Asia.