Abstract: Autonomous driving in extreme conditions presents substantial challenges in ensuring vehicle stability and safety. Traditional reinforcement learning (RL) methods for decision-making often ...

Polymers are a versatile class of materials with widespread industrial applications. Advanced computational tools could revolutionize their design, but their complex, multi-scale nature poses ...

AI can be added to legacy motion control systems in three phases with minimal disruption: data collection via edge gateways, non-interfering anomaly detection and supervisory control integration.

According to @XPengMotors on Twitter, XPeng is promoting its latest AI-powered smart car technologies, highlighting autonomous driving capabilities and personalized in-car experiences. The campaign ...

Cybersecurity has been reshaped by the rapid rise of advanced artificial intelligence tools, and recent incidents show just how quickly the threat landscape is shifting. Over the past year, we've seen ...

This project implements autonomous driving agents using gradient-free evolutionary optimization. Instead of backpropagation, the system evolves neural network parameters through Natural Evolution ...

Industrial automation is entering a new era with physical AI, where machine learning meets real-world motion control. AI-driven robotics and digital twins are closing the gap between simulation and ...

Getting your Trinity Audio player ready... Big Tech’s self-driving vehicles — a fleet of white Jaguars and powder-blue Zeekrs topped with rotating black cameras and radar — have been rolling around ...

GM will debut the next generation of its Super Cruise hands-free semi-autonomous driving tech, which will allow for eyes-off driving, in the 2028 Cadillac Escalade IQ. The 2028 Escalade IQ will also ...

Advancements in automation include a blend of robotics, AI, machine learning, and advanced motion control for mobility—offering smarter and more adaptive systems that can handle a range of workloads ...