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 ...

Collaboration between materials scientists and data scientists helps identify patterns in growing thin films. (Nanowerk News) From cell phones to solar panels to quantum computers, thin films are ...

Traditional approaches to autonomous vehicles (AVs) rely on using millions of miles of driving data in conjunction with even more miles of simulated data as inputs to supervised machine learning ...

Researchers at Pacific Northwest National Laboratory (PNNL) have developed a machine learning (ML) system that can detect subtle changes in thin film growth data in real time - faster than human ...

Imagine a world where robots don’t just follow pre-programmed instructions but actually learn and adapt like living beings. The integration of IntuiCell technology into the Luna robot dog represents a ...

Below are five AI-driven trends set to define telecom strategies in 2026. They collectively signal a shift from manual ...

Incorporating AI agents as autonomous learning assistants in training programs boosts user engagement and information retention with the right approach. Building trust in AI technology with ...