Abstract: Autonomous underwater vehicles (AUVs) present several challenges due to the complex and simultaneous interplay of various factors, including but not limited to unmodeled dynamics, highly ...

In a recent article, researchers from the University of Jyväskylä, Finland, emphasize the importance of multiscale modeling of catalysis in understanding and developing (electro)chemical processes.

Data Volume. Cloud usage generates data at a per-hour level that leads to volumes of data that can reach ~150TB, making it ...

Autoregressive models predict future values using past data patterns. Discover how these models work and their application in ...

The UK-led OpenBind initiative has reached a major milestone with the release of its first publicly available dataset and ...

The problem with rolling your own AI is that your system memory probably isn’t very fast compared to the high bandwidth ...

The UK‑led OpenBind initiative has reached a major milestone with the release of its first publicly available dataset and predictive AI model, a ...

This article designs a self-triggered adaptive dynamic programming (STADP) algorithm combined with the model predictive control (MPC) mechanism to address the approximate optimal control of a ...

The process of continually tracking equipment and asset health gives operations a foundation for establishing predictive maintenance strategies by enabling early detection of potential issues before ...