Adaptive test is starting to gain traction for high-performance computing and AI chips as test programs that rely on static limits and fixed test sequences reach their practical limits.

Adaptive testing in integrated circuits (ICs) has emerged as an innovative strategy to optimise and streamline the evaluation of increasingly complex semiconductor devices. By incorporating machine ...

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 ...

Automation experts from Beckhoff, DigiKey and Siemens Digital Industries explain how AI enhances motion control across ...

Mechatronic systems have evolved from traditional electromechanical devices into complex, intelligent, and interconnected systems that form the foundation ...

This system utilizes machine learning algorithms to optimize the operation of particle accelerators, reducing manual intervention and enhancing precision in real-time control. By integrating virtual ...

Learning models are changing throughout higher education, with a wave of remote, hybrid and blended classes sweeping through colleges and universities even as life returns to something more like ...

In a study published in Advanced Photonics, researchers at SPIE introduced a method to enhance photonic circuit adaptability ...

Adaptive algorithms have immensely advanced, becoming integral for innovation across multiple industries. These intelligent systems adjust content and strategies to improve the experiences of users by ...

Adaptive learning tools help teachers do their jobs more efficiently and support student engagement, concludes a recent study. But the study—conducted by foundry10, a philanthropic education research ...