This virtual panel brings together engineers, architects, and technical leaders to explore how AI is changing the landscape ...

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 ...

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 ...

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 ...

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 ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

Trust is a crucial factor that influences human-automation interaction in surface transportation. Previous research indicates that participants tend to display higher levels of subjective trust toward ...

AI is often described as the most transformative technology of the century, and while it has already reshaped many aspects of life, from scientific discovery to waging war, hype and over-promising ...

Abstract: Accurately simulating the diverse behaviors of heterogeneous agents in varied scenarios is fundamental to autonomous driving simulation. Our first insight is to leverage state-matching ...