XPENG, in collaboration with Peking University, has had its paper "FastDriveVLA: Efficient End-to-End Driving via Plug-and-Play Reconstruction-based Token Pruning" accepted by AAAI 2026, one of the ...
Nvidia announced new infrastructure and AI models on Monday as it works to build the backbone technology for physical AI, including robots and autonomous vehicles that can perceive and interact with ...
Safely achieving end-to-end autonomous driving is the cornerstone of Level 4 autonomy and the primary reason it hasn’t been widely adopted. The main difference between Level 3 and Level 4 is the ...
XPENG Motors was the only Chinese automaker invited to present at the 2025 Conference on Computer Vision and Pattern Recognition (CVPR) in Nashville, where it shared its advancements in autonomous ...