These systems depend heavily on data annotation to train AI/ML models that enable real-time perception and decision-making. Raw data is collected from a suite of sensors, including LiDAR, radar, ...

In this research, we focus on developing an autonomous system for multiship collision avoidance. The proposed approach combines global path planning based on deep reinforcement learning (DRL) and ...

By enabling novel road safety use cases, vehicle-to-everything (V2X) technologies have the potential to contribute to reducing the number of accidents of vulnerable road users (VRU). However, most ...

The power amplifiers market is valued at USD 31.2 billion in 2025 and is projected to reach USD 57.1 billion by 2035, ...

Agentic AI systems have the potential to work together, but not yet at scale. This episode breaks down two emerging standards — Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication.

The range-topping version of Kia's new mid-size electric SUV has loads of spec and tech, dual-motor AWD and a stylish look.

The rapid evolution of connected and cooperative automated mobility (CCAM) is transforming urban transportation. Advanced ...

Dedicated Global Positioning System (GPS) devices cost much less than smartphones and are something you can leave in your vehicle, so it's always available. Most newer models offer free traffic ...