Abstract: In this paper, we present a deep-reinforcement learning(RL) approach to autonomous driving in a simulated environment, supported by a carefully crafted reward function. Using Unity's ...

Sensor fusion combines multiple sensing modalities to improve environmental perception, obstacle avoidance, and safety in autonomous systems. AI-enabled vision and 3D depth sensing are revolutionizing ...

Chinese heavy truck manufacturer SANY has confirmed its readiness to mass-produce its fourth-generation autonomous semi truck, with the first batch due this year. Teaming up with Pony.ai, the heavy ...

As one of the most powerful growth stocks we've seen in generations, Nvidia (NASDAQ:NVDA) has probably minted more millionaires than any other stock in recent history. Indeed, this company's 23,500% ...

BEIJING, Dec 15 (Reuters) - China's industry regulator on Monday approved two Chinese cars with level-3 autonomous driving capabilities, marking the first time such vehicles have been cleared by the ...

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.

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

SAN ANTONIO – Fully autonomous Waymo vehicles are coming to the streets of San Antonio sometime in the next few weeks. But the robotaxis won’t be available in town for riders like you and me until ...

About This Project Phantom Armor Synthetic Log Simulator is an open research effort designed to help the security community evaluate detection and SOC automation systems on realistic, labeled, but ...

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 ...