Brief

Jingyue Power, a robotics company focused on "data + model + end-effector" solutions, has secured tens of millions of yuan in seed funding led by Xinghai Capital. The company aims to provide "out-of-the-box" Robo Labor, making physical labor as scalable and accessible as cloud computing. This funding will support team expansion, product mass production, and expert skill development for their integrated hardware and software solutions. AI

Researchers have developed D$^3$-Subsidy, a novel diffusion-based framework designed for optimizing driver subsidies in large-scale ride-hailing markets. This system addresses the complex challenge of balancing driver supply and passenger demand by employing a hierarchical approach that ensures responsiveness to market fluctuations while adhering to strict subsidy rate caps and low-latency execution. The framework utilizes a prefix-conditioned diffusion model to sample future trajectories and an inverse module to translate these into city-level control signals, with a Lagrangian-dual-derived mapping for efficient dispatch. Real-world A/B testing has confirmed significant improvements in completed rides and gross merchandise value, alongside enhanced compliance with subsidy caps. AI