The view from the driver’s seat is changing—and becoming more dangerous. According to a new study from researchers at the U.S ...

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, ...

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

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

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 ...