No single company is going to figure out autonomous driving alone. It’s a massive undertaking. NVIDIA is taking a page from ...
LeddarTech Holdings Inc. has announced the launch of LeddarSim™, a cutting-edge simulation platform designed to enhance the development and testing of advanced driver assistance systems (ADAS) and ...
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Simulator optimizes vehicle resources to enable real-time accident prevention in autonomous cars
Through industry–academia collaboration, a joint research team developed an Integrated Network-Computing Load Balancing ("INCL Balancing") simulator optimized for next-generation 6G services. This is ...
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Autonomous vehicles get new open-source AI tools from Nvidia
Nvidia has introduced a new set of open-source artificial intelligence tools aimed at advancing autonomous vehicle ...
NVIDIA is the first to release an open reasoning VLA model designed to tackle long-tail autonomous driving challenges; NVIDIA ...
Nvidia claims that Alpamayo, which uses vision language action AI models, will allow self-driving cars to react to and reason ...
Through industry–academia collaboration, a joint research team consisting of professors Choi Ji-woong, Jwa Hoon-seung, and Kim Baek-gyu from the Department of Electrical Engineering and Computer ...
Nvidia’s GTC conference kicked off with a series of announcements highlighting its role in advancing autonomous driving technology. The chipmaker provides automakers and autonomous vehicle companies ...
During its CES 2026 keynote, Nvidia announced a new chip platform, open AI models and consumer-facing systems, with a focus ...
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 ...
Pony AI Inc. has announced a strategic partnership with Tencent Cloud, aiming to advance autonomous driving technology and speed up the commercialization of Robotaxi services. This collaboration will ...
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