Let's discuss four trends that will redefine how robots create value — from smarter math and cooperative behaviors to ...

Scientists are using lasers, satellites and even sound to determine what is falling from the sky—but the best tool may still ...

The built environment faces increasing pressures from climate change, resource limitations, and rapid urbanisation.

This study presents a transfer learning–based method for predicting train-induced environmental vibration. The method applies data fusion to combine physics-based numerical simulations and limited ...

Less instrumentation. More insight. Physics-informed virtual sensors are shifting condition monitoring from isolated pilots ...

The landscape of emergency management is continually evolving, and the ability to predict and respond to airborne hazards in ...

Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...

"AI-based models are revolutionizing weather forecasting and have surpassed leading numerical weather prediction systems on ...

Logistics is an industry where AI has huge potential to drive greener practices. That’s because of the sector’s complexity, ...

Penn State researchers have developed a new artificial intelligence framework with potential implications for fields ranging from Alzheimer’s disease research to advanced materials design. The ...

Xanadu Quantum Technologies Inc. (“Xanadu”), a leading photonic quantum computing company, today announced the addition of two strategic leaders to their executive team: Michael Trzupek as Chief ...