Researchers have developed several data-mechanism hybrid driven methods to improve key variables prediction in process ...

To prepare for extreme heat waves around the world -- particularly in places known for cool summers -- climate-simulation models that include a new computing concept may save tens of thousands of ...

Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational ...

Before rain begins to fall, scientists and engineers can predict where a storm might cause flooding thanks to advanced modeling and digital simulations that help guide billion-dollar decisions ...

Classical computations rely on binary bits, which can be in either of the two states, 0 or 1. In contrast, quantum computing is based on qubits, which can be 0, 1, or a superposition or entanglement ...

Using tumor growth modeling and informed neural networks as early predictive clinical endpoints. 2007 Continuous dispersion for invasive motility. 2009 Invasive growth with cell density and oxygen.

On Friday the 20th of March 2026, M.Sc. Michael Mechenich defends his PhD thesis on Machine Learning Methods for Ecological Modeling Under Global Change. The thesis is related to research done in the ...

Development and Validation of Data-Driven Estimates of Recurrence Risk and Treatment Benefit in Early Breast Cancer In the article that accompanies this editorial, Weber et al 7 use data from two ...

AI language models, used to generate human-like text to power chatbots and create content, are also revolutionizing biology by treating complex biological data like a language. Language models are ...