Abstract: Despite the advancements of autonomous systems from decades of engineering, there is always the need to make them even more efficient and reliable. Machine learning holds great potential to ...

The future of autonomous driving will be shaped less by hardware advances and more by the rapid evolution of artificial ...

Industries are undergoing a profound transformation as products, factories, and companies adopt autonomous machine models. Autonomous companies use AI agents to sense, understand, decide, and act with ...

Based on all the hype around autonomous vehicles (AVs) in recent years, you would imagine that our roads would be crisscrossed by swarms of driverless cars by now, ferrying their owners to their next ...

The AV sector is expanding due to a number of causes. First off, vehicles are becoming smarter and safer due to improvements in AI and machine learning. In order to speed up development, governments ...

Researchers at Simon Fraser University have developed a groundbreaking Machine Intelligence Quotient (MIQ) framework aimed at redefining the assessment of intelligence in autonomous vehicles. The ...

Modern AI systems are evolving into intelligent agents capable of reasoning, planning, adapting, and making autonomous ...

The development of computing chips for autonomous machines is China’s only missing link in completing its self-reliant autonomous machine ecosystem. In a previous article, I explained that the ...

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Automation in off-highway equipment has gone beyond Australian, South American, and American Southwest mining to conventional job sites in familiar places such as California, Florida, and Canada. And ...