Experiments on an underactuated two-degree-of-freedom control moment gyroscope found that online adaptive neural control ...

Researchers in Chengdu have developed a predefined-time adaptive neural backstepping controller that forces electro-hydraulic ...

A neural-network-based controller adapts in real time to switching reference signals in piezoelectric nano-positioning stages, reducing tracking errors. (Nanowerk News) Nano-positioning stages driven ...

After Wil Koch flew a friend’s drone for the first time, operating it through “first-person view” where a person wears a headset connected to a video feed streaming live from a camera on the drone, he ...

Anyone who has spent time tinkering with modern frame generation technologies on PC knows the biggest catch is almost always ...

Sony has filed a patent for a new PlayStation frame generation technology that uses AI and controller inputs to minimize ...

Stephane is a tech enthusiast and AI advocate with a deep-seated passion for leveraging technology to solve real-world problems. With a background in Chemistry and hands-on experience in AI,... We ...

Machine learning and neural networks are two common terms in AI -- but what do they mean, and how do they differ? What exactly is machine learning? Machine learning is a subset of AI. ML uses an ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

Graph neural networks (GNNs) are a type of neural network architecture and deep learning method that can help users analyze graphs, enabling them to make predictions based on the data described by a ...