Artificial Intelligence-Generated Content (AIGC) refers to the paradigm of automated content generation utilizing AI models. Mobile AIGC services in the Internet of Vehicles (IoV) network have numerous advantages over traditional cloud-based AIGC services, including enhanced network efficiency, better reconfigurability, and stronger data security and privacy. Nonetheless, AIGC service provisioning frequently demands significant resources. Consequently, resource-constrained roadside units (RSUs) face challenges in maintaining a heterogeneous pool of AIGC services and addressing all user service requests without degrading overall performance. Therefore, in this paper, we propose a decentralized incentive mechanism for mobile AIGC service allocation, employing multi-agent deep reinforcement learning to find the balance between the supply of AIGC services on RSUs and user demand for services within the IoV context, optimizing user experience and minimizing transmission latency. Experimental results demonstrate that our approach achieves superior performance compared to other baseline models.

TuringBots are AI-powered software that automatically supplements developers' work designing and building software code. It functions as an intelligent agent using advanced forms of machine learning to help auto-generate code, Hopkins said. Extended reality (XR) includes a combination of visual elements provided by tools like augmented, mixed and virtual reality. Though use cases are hard to pin down for enterprise businesses, Hopkins said in five years, use cases like training and onboarding for frontline workers could be viable opportunities. Web3 is a concept Hopkins said promises a decentralized internet by using technologies such as blockchain and cryptocurrency that's not dominated by big tech companies, financial institutions and other entities. But it's unclear how the technology will develop and benefit enterprises.