# simulation
Latest news and articles about simulation
Total: 4 articles found
Jensen Huang Takes NVIDIA’s Driving Stack for a Spin: 22 Minutes of Hands‑Off City Driving in San Francisco
NVIDIA CEO Jensen Huang completed a 22‑minute, hands‑off ride in a Mercedes‑CLA running MB.DRIVE ASSIST PRO, a production L2 system built with NVIDIA’s DRIVE AV stack and Alpamayo 1. The demonstration showcases NVIDIA’s evolution from chipmaker to provider of integrated driving software, simulation and AI models, while highlighting the remaining limits of L2 systems and the challenge of scaling to diverse, long‑tail driving scenarios.
WeRide’s CEO: L3 Won’t Steal L4’s Thunder — China’s Robotaxi Push Aims for Scale, Pure‑Driverless Ops and Cost Edge
WeRide’s CEO Han Xu argues that L3 autonomy will not undercut L4 Robotaxi commercialisation, and that China’s data depth plus domestic hardware cost control give L4 firms a competitive edge. The company has crossed the 1,000‑vehicle deployment threshold, achieved pure‑driverless operations in multiple cities, and is leaning on a high‑fidelity simulator (GENESIS) and healthy cash reserves to scale further and pursue profitability.
Fei‑Fei Li Says the Next AI Frontier Is Not Language but the World Itself
Fei‑Fei Li told the Cisco AI Summit that AI’s next major frontier is spatial intelligence: models that understand and simulate 3D physical space. Her company World Labs has produced Marble, a “world model” designed for persistent, physically consistent virtual environments with applications from robotics training to therapy, while cautioning that data scarcity and real‑world complexity make general‑purpose robots a distant prospect.
Chinese Startup Says It Trained Robots by 'Dreaming' — and Grew to Hundreds of Millions in Revenue
KuaWei Intelligence open-sourced EmbodiChain, a generative simulation pipeline that it says can train robot models entirely on synthetic data and achieve zero-shot transfer to the real world. The company reported annual revenue in the hundreds of millions of yuan for 2025 and expects three- to fourfold growth in 2026, pitching its approach as a scalable, ROI-focused alternative to costly real-world data collection.