ImageNet Classification with Deep Convolutional Neural Networks
A deep convolutional network demonstrated how data, GPU computation and learned representations could transform visual recognition.
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XPeng X-World: Controllable Multi-View Generative World Model for Autonomous Driving
Describes a controllable multi-view world model used for driving simulation, scenario generation, and evaluation.
Institution and location sources
Location refers to credited institutions or the listed organization, not author citizenship or an exhaustive collaboration list.
Why read this
Observe how generative video enters driving R&D, and distinguish plausible simulation from validated driving reliability.
What it connects
Video diffusion links multi-camera scenario generation, reinforcement-learning workflows, and driving-policy evaluation.
Vendor technical report announcement
An official technical-report announcement. The reported deployment and outcomes are not independently replicated by this site.
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Citation
@misc{xpeng2026xpeng,
title = {XPeng X-World: Controllable Multi-View Generative World Model for Autonomous Driving},
author = {XPeng},
year = {2026},
url = {https://www.xiaopeng.com/news/company_news/5548.html}
}Rights remain with the original authors. Refer to the original source for citations and licensing.
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