Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Waymo unveiled a generative simulation model Thursday that uses Google DeepMind’s Genie 3 to create hyper-realistic driving scenarios. The system generates scenarios from elephant encounters to ...

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 ...

GUANGZHOU, China, Jan. 27, 2026 (GLOBE NEWSWIRE) -- WeRide (NASDAQ: WRD, HKEX: 0800), a global leader in autonomous driving technology, today announced the launch of WeRide GENESIS 1, its proprietary ...

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 ...

VinFast, Autobrains currently testing Robo-Car system in Hanoi. Vietnamese automaker VinFast Auto announced that it is collaborating with Israel-based AI company Autobrains on the development of ...

Guidehouse, which was established following a spin-off from PwC's public sector and advisory practice, is a global consulting firm. Since 2015, Guidehouse has published the world's only comprehensive ...

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 ...

When you buy an electric vehicle from the Hyundai Motor Group, you're getting a car with lots of range, a ton of style, impressive performance and some of the finest charging speeds in the business.

The SAE's marker lamp regulation is designed to signal to other drivers and pedestrians when a car is robo-driving. “You can use any color lighting on the front of a car, as long as it's amber or ...

Abstract: Autonomous driving at unsignalized intersections is still considered a challenging application for machine learning due to the complications associated with handling complex multi-agent ...

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 ...