By using reinforcement learning, researchers train virtual agent to determine the best time to administer medication based on ...

An integrated intent-driven verification and distributed monitoring framework strengthens network infrastructure security by uniting real-time traffic analysis, machine learning-based threat detection ...

Rockwell Automation’s vice president for automation and autonomy says every stage of manufacturing has begun to incorporate learning functions, and the trend is accelerating ...

Engineers at the University of California San Diego have developed a next-generation wearable system that enables people to ...

Abstract: In the pursuit of sustainable and efficient energy solutions, Photovoltaic (PV) systems have emerged as a prominent player in the domain of renewable energy generation. Particularly, ...

Abstract: Modeling, monitoring and control of nanoparticle generation processes are of critical importance in various industrial applications due to their impact on product quality and process ...

AI-powered wearable cleans noisy motion signals to let users control machines with simple gestures in real-world conditions.

Engineers at the University of California San Diego have developed a next-generation wearable system that enables people to ...

As AI transforms embedded systems, new security risks emerge. Developers must adopt advanced defenses to safeguard against ...

In recent years, distributed multi-agent systems (MAS) have gained significant attention across robotics, autonomous vehicles ...

Industrial automation is entering a new era with physical AI, where machine learning meets real-world motion control.

The study reveals a rapidly evolving field where AI plays a pivotal role in accelerating design, enabling predictive maintenance, optimizing control systems, and powering intelligent digital replicas ...