Mercedes’ software-defined vehicle strategy quietly changes how cars evolve, updating continuously instead of aging by model ...
Nvidia describes Alpamayo as an open portfolio of reasoning vision-language-action (VLA) models, simulation tools, and datasets designed to power robots, industrial automation, and Level 4 autonomous ...
NVIDIA is the first to release an open reasoning VLA model designed to tackle long-tail autonomous driving challenges; NVIDIA ...
Can autonomous car racing challenge F1? A2RL’s 150mph AI battles are getting closer to human drivers, bolder, and more ...
Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.
Abstract: Autonomous underwater vehicles (AUVs) present several challenges due to the complex and simultaneous interplay of various factors, including but not limited to unmodeled dynamics, highly ...
NVIDIA is attempting to solve the “black box” problem of self-driving cars by open-sourcing the cognitive architecture behind them. At the NeurIPS conference today, the company released Alpamayo-R1, a ...
1 English Department, American University of Sharjah, Sharjah, United Arab Emirates 2 Kansas International School, Zhengzhou Sias University, Xinzheng, China Introduction: Cultural values may impact ...
According to Andrej Karpathy on Twitter, the new Tesla Model X equipped with Hardware 4 (HW4) and Full Self-Driving (FSD) capabilities demonstrates a significant leap in autonomous driving performance ...
The new reinforcement learning system lets large language models challenge and improve themselves using real-world data instead of curated training sets. Meta researchers have unveiled a new ...