Autonomous and automated laboratory systems are rapidly transforming the landscape of drug discovery by combining robotics, advanced sensing, and ...

Abstract: Data-driven autonomous driving (AD) systems typically use incremental optimization based on various scenarios to improve driving safety and overall performance. However, existing algorithms ...

(*) Equal contribution. (†) Project leader. ( ) Corresponding author. ReCogDrive-Base-VLM 2B Stage 1 84.1 Model ReCogDrive-Base-IL 2B + 35M Stage 1&2 86.5 Model ReCogDrive-Base-RL 2B + 35M Stage 1&2&3 ...

Artificial intelligence (AI) is rapidly moving beyond pilot projects to large-scale deployment in manufacturing, but many Taiwanese firms remain constrained by data, infrastructure, and investment ...

SHANGHAI, April 17 (Reuters) - Hesai (2525.HK), opens new tab, China's leading maker of lidar, has developed a version of the technology used in autonomous driving that is capable of detecting colour, ...

Abstract: The objective of this project is to build up sophisticated autonomous driving simulation based on CARLA platform and reinforcement learning. The primary objective is to train a robust and ...

The new investment will support integration across automotive compute platforms. Credit: Wayve Wayve, which makes AI for autonomous vehicles, has received US$60m funding from technology companies ...

EVANSVILLE, IN—PIA Automation is launching a new business segment focused on embodied AI and humanoid robotics, expanding its automation portfolio as manufacturers seek more flexible systems to handle ...

While artificial intelligence solutions can reduce administrative burden in prior authorizations and billing, organizations are reporting increased transaction volumes and higher costs, according to a ...

China, the U.S., Russia and others have ramped up their contest over artificial-intelligence-backed weapons and military systems. The buildup has been compared to the dawn of the nuclear weapons age.