David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to ...

Before ripping out reliable hydraulic and pneumatic equipment, learn how protocol gateways, digital twins and predictive ...

The Marine Corps conducted Dynamis Serial 005 to test AI-enabled battle management and joint integration across multidomain ...

GridFM DataKit (gridfm-datakit) is a Python library for generating realistic, diverse, and scalable synthetic datasets for power flow (PF) and optimal power flow (OPF) machine learning solvers. It ...

Neuromorphic computing seeks to emulate the structural and functional organization of the brain, enabling computational systems to operate in ways that resemble biological neural processing. Its ...

AI can be added to legacy motion control systems in three phases with minimal disruption: data collection via edge gateways, non-interfering anomaly detection and supervisory control integration.

Abstract: As control-flow protection gets widely deployed, it is difficult for attackers to corrupt control-data and achieve control-flow hijacking. Instead, data-oriented attacks, which manipulate ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Coalescence filtration in fibrous filters underpins critical processes in various ...

Introduction: Postoperative vasoplegia is a complex syndrome, with traditional definitions unable to differentiate isolated vascular dysfunction and mixed cardiogenic-vasoplegic states. We previously ...

Flow cytometry is a key diagnostic technique in hematology that provides protein information at a single-cell level. Traditionally interpreted manually in a sequence of two-dimensional plots, ...