Cyber-physical systems in this context are engineered to be fully autonomous. They consist of physical infrastructure, embedded sensors, and intelligent computational components that interact in real ...

A graphene sensor trained by machine learning can now taste like a human, identifying both basic and complex flavors with ...

Traditional control systems like Nonlinear Dynamic Inversion (NDI) rely heavily on precise mathematical models. While this worked well for ...

Forecasting and tracking wildfires and flooding is extremely complicated as multiple variables are involved. Weather, topography and groundwater flows are just some of the elements that need to be ...

Dr Susanne Ouellet has been researching how strain and seismic sensing fibre optics can help monitor the performance of tailings dams ...