As AI is embedded inside systems, teams must design APIs with governance, observability and scalability in mind.

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 ...

From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...

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 ...

Remote work security platforms use behavioral access control to protect the workforce, detect anomalies, and prevent insider ...

Automation experts from Beckhoff, DigiKey and Siemens Digital Industries explain how AI enhances motion control across applications in welding, automotive manufacturing and ...

AI-driven adaptive safety stock planning is revolutionizing inventory management in fluctuating supply chains.

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 ...

Recent advances in artificial intelligence (AI) and machine learning (ML) have transformed our ability to decode complex ...