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, ...

Unlike vibe coding (intuitive but inconsistent) and prompt engineering (single-shot prompts), context engineering provides a ...

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 ...

Have you read your car’s terms and conditions? It might sound like a silly question but modern smart cars are just like any ...

Advanced driver assistance systems should not only make the driving experience safer and more comfortable, it should also have a positive effect on driving behaviors. In this paper, an instructor-like ...

Hyundai Mobis unveils new rear-collision avoidance system Latest safety feature adjusts speed to help prevent collision.