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 ...

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 ...

CES 2026 has become a muscle-flexing arena for advanced autonomous driving. Nvidia's CEO, Jensen Huang, used the stage to unveil a new "Vision-Language-Action" (VLA) model, Alpamayo 1. The system is ...

Vehicle platooning, first studied as an application of Intelligent Transportation Systems (ITS), is increasingly gaining attention in recent years as autonomous driving and connected vehicle ...

Tesla (NASDAQ: TSLA) has rolled out its latest Full Self-Driving (FSD) version FSD v14.2.2.2 – touting smoother lane changes and improved decision-making. Yet despite billionaire Elon Musk’s bold ...

Nvidia’s stock returned 23,500% over the past decade. The new Rubin architecture delivers more than three times the performance of the Blackwell chip. Rubin integrates 144 GPUs and 35 Vera CPUs per ...

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 ...

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 ...