NVIDIA Announces 1st ‘Reasoning’ AI for Autonomous Vehicles
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Nvidia introduces 'Alpamayo family' of AI models with goal of using reasoning-based vision language action models to enable 'humanlike thinking' in autonomous vehicle decision-making - Anadolu Ajansı
With high-resolution 3D point clouds and Doppler data, this vision sensor aims to close critical visibility gaps in autonomous driving.
The company's Modular Terahertz Engine (MTE) is an all-solid-state sensor platform built on proprietary transmit (TX), receive (RX), and core processing chips, which deliver crystal-clear vision, detect small objects at great distances, and maintain uncompromised reliability in any environment - day or night, in rain, fog and snow.
Nvidia seems to be everywhere at this year's CES, providing companies with the tools for advancing their autonomous driving and robotics projects
CES 2026 has become a muscle-flexing arena for advanced autonomous driving. Nvidia's CEO, Jensen Huang, used the stage to unveil a new "Vision-Language-Action" (VLA) model, Alpamayo 1. The system is capable of chain-of-thought reasoning,
At a packed CES keynote, Jensen Huang laid out Nvidia’s vision for physical A.I., from world models to self-driving cars.
At CES 2026, Nvidia CEO Jensen Huang unveiled a bold AI strategy featuring physical AI, open models and robotics, signalling the company’s expanding role beyond gaming hardware.
Baidu Inc's autonomous ride-hailing service Apollo Go received a fully driverless testing permit from the Roads and Transport Authority (RTA) of Dubai, the United Arab Emirates, on Tuesday, becoming the first and only company authorized to conduct fully unmanned autonomous vehicle tests in the city.