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 ...

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 ...

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 ...

The global Automotive AI Chipset Market is entering a rapid growth phase as automakers, semiconductor companies, and mobility ...

The Stanford professor’s work gives autonomous systems new frameworks for tackling complex tasks. Robots and AI agents are ...

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 ...

D-FLY™ - Autonomous Counter-UAS Intercept Platform - D-FLY™ is a rapid-response autonomous aerial interceptor designed specifically to address the growing global threat posed by hostile drones and low ...