Abstract: Reinforcement learning (RL) is a promising approach for end-to-end autonomous driving, but its practical deployment remains challenging due to low sample efficiency and sensitivity to reward ...

TEL AVIV, Israel--(BUSINESS WIRE)--Autobrains today announced the automotive industry’s first application of Agentic AI to power both Advanced Driver Assistance Systems (ADAS) and Automated Driving ...

Blue Origin has revealed its plans for an orbital AI data center system in a new filing with the Federal Communications Commission. The company has asked the agency for permission to deploy 51,600 ...

In an environment defined by labor shortages, rising uptime expectations and pressure to improve overall equipment effectiveness (OEE), simple data collection is no longer enough. Modern manufacturers ...

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Abstract: Deep Reinforcement Learning (DRL) is becoming a prominent method for autonomous driving due to its strong capability to generate complex driving policy. However, DRL motion planning still ...

The frequency of substance use, early age of initiation, and cannabis-related memory impairments are among the primary factors contributing to driving under the influence, according to a new analysis ...