A look at how the Finnish specialty chemicals company used decades of formulation data to revolutionize its polymer ...

Batch mixing remains the predominant approach in industries where product diversity, regulatory oversight and recipe ...

Leila Bridgeman is steadily laying foundations for the software needed to precisely control the large, complex networks of ...

A new physics-based algorithm clears a path toward nuclear microreactors that can autonomously adjust power output based on ...

Scientists in China have created an optimization technique for an electric vehicle charging station that uses PV, battery storage, and a vehicle-to-grid operation. Considering the uncertainty of PV ...

The integration of artificial intelligence in financial systems has become a defining trend of 2025, and Trixford Fund ...

What are the key factors driving the growth of the Big data platform market? The big data platform market continues to evolve as enterprises prioritize data-driven strategies to remain competitive.

The 2,175-mile system of interconnected ... said the technology has potential beyond immediate flood control. "The model also ...

Joseph Alderman et al argue that predictive models in healthcare lack adequate oversight and regulation. They highlight the ...

Imperial College London's Department of Infectious Disease Epidemiology reports a model-predictive control approach that ...

Asan Medical Center has introduced an advanced version of its elderly frailty score, which can now predict more risks associated with hospitalisation. The Acure Geriatric Risk Scale builds on the ...

To enhance the automation and efficiency of combine harvesters, this paper proposes a predictive control method based on Long Short-Term Memory (LSTM) neural networks. The method integrates ...