AI transformation cannot be "AI for everything." Successful enterprises focus on a limited set of high-impact use cases with measurable outcomes.
Unlike generative AI, which produces content or code based on prompts, agentic systems can take autonomous actions to complete tasks, from resolving customer support tickets to managing inventory ...
Abstract: This article is devoted to studying the homogeneous polynomial parameter-dependent (HPPD)-type control strategy of active vehicle suspension systems (AVSSs) within a cyber-physical ...
Background In early 2026, OpenClaw (formerly known as Clawdbot and Moltbot), an open-source autonomous AI agent project, quickly attracted global attention. As an automated intelligent application ...
Abstract: This paper presents an improved deep reinforcement learning-based (DRL) approach for end-to-end models using a Graph Neural Network(GNN). The proposed method aims to improve end-to-end deep ...