Laser-upgraded coal tar for smart pavements in road and bridge monitoring applications

The implementation of an intelligent road network system requires many sensors for acquiring data from roads,bridges,and vehicles,thereby enabling comprehensive monitoring and regulation of road networks.Given this large number of required sensors,the sensors must be cost-effective,dependable,and environmentally friendly.Here,we show a laser upgrading strategy for coal tar,a low-value byproduct of coal distillation,to manufacture flexible strain-gauge sensors with maximum gauge factors of 15.20 and 254.17 for tension and compression respectively.Furthermore,we completely designed the supporting processes of sensor placement,data acquisition,processing,wireless communication,and information decoding to demonstrate the application of our sensors in traffic and bridge vibration monitoring.Our novel strategy of using lasers to upgrade coal tar for use as a sensor not only achieves the goal of turning waste into a resource but also provides an approach to satisfy large-scale application requirements for enabling intelligent road networks.

Large-scale generative simulation artificial intelligence:The next hotspot

Motivation Nowadays,big data,deep-learning models,optimization methods,and computational power are essential elements in promoting the development of artificial intelligence.Recent advances have brought a new focus on generative artificial intelligence(GenAI),which paves promising paths to exploring the creation of texts,images,videos,or other content rather than simply performing discriminative learning tasks.

How to prevent malicious use of intelligent unmanned swarms?

With advancements in swarm intelligence,artificial intelligence,and wireless mobile network technology,unmanned swarms such as unmanned aerial vehicles,ground vehicles,ships,and other unmanned systems are becoming increasingly autonomous and intelligent.Benefiting from these technologies,intelligent unmanned swarms are able to efficiently perform complex tasks through collaboration in various fields.However,malicious use of intelligent unmanned swarms raises concerns about the potential for significant damage to national infrastructures such as airports and power facilities.Defending against malicious activities is essential but challenging due to the swarms’abilities to perceive,understand complex environments.

Toward parallel intelligence: An interdisciplinary solution for complex systems

The growing complexity of real-world systems necessitates interdisciplinary solutions to confront myriad challenges in modeling,analysis,management,and control.To meet these demands,the parallel systems method rooted in the artificial systems,computational experiments,and parallel execution(ACP)approach has been developed.The method cultivates a cycle termed parallel intelligence,which iteratively creates data,acquires knowledge,and refines the actual system.Over the past two decades,the parallel systems method has continuously woven advanced knowledge and technologies from various disciplines,offering vers atile interdisciplinary solutions for complex systems across diverse fields.This review explores the origins and fundamental concepts of the parallel systems method,showcasing its accomplishments as a diverse array of parallel technologies and applica-tions while also prognosticating potential challenges.We posit that this method will considerably augment sustainable development while enhancing interdisciplinary communication and cooperation.