Self-driving cars have made impressive progress. They can follow lanes, keep their distance, and navigate familiar routes with ease. However, despite years of development, they still struggle with one ...

AI-driven autonomous robots are coming to biology laboratories, but researchers insist that human skills remain essential.

Fighting fires could be done remotely without the need to place firefighting crews directly in potentially dangerous situations by using collaborative teams of artificial intelligence-powered robots ...

Abstract: Reinforcement Learning (RL) is increasingly used in autonomous driving (AD) and shows clear advantages. However, most RL-based AD methods overlook policy structure design. An RL policy that ...

Abstract: Adversarial Machine Learning (AML), particularly model poisoning, presents a critical threat to Autonomous Vehicles (AVs) in the Internet of Vehicles (IoV) environment. To address this ...

Learn how to build a 3D solar system simulation using Python! This tutorial guides you through coding planetary motion, visualizing orbits, and creating an interactive model of our solar system.

NVIDIA researchers demonstrate how adversarial image attacks can manipulate vision language models, turning traffic light recognition from 'stop' to 'go' with imperceptible changes. NVIDIA researchers ...

Graz University of Technology (TU Graz) and mobility technology company Magna have unveiled one of Europe’s most advanced driving simulators. The facility sits inside the new Advanced Driving ...

SIMply is an open-source python tool for simulating physically realistic images. SIMply is designed primarily to support the development of spaceborne cameras by providing a simple and accessible ...

Traffic simulation is an effective tool for urban planners, traffic engineers, and researchers to study traffic. In particular, microscopic traffic simulation, which simulates individual vehicles’ ...