Methods for modeling development is our Method of the Year 2023, for the remarkable insights that recent methodological advances have enabled in our understanding of the molecular mechanisms of human ...

Researchers from Carnegie Mellon University and Los Alamos National Laboratory have used machine learning to create a model that can simulate reactive processes in a diverse set of organic materials ...

To effectively protect biodiversity in an era of climate change, ecologists first have to know where animal and plant species ...

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...

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.

Food insecurity identification modeling for Medicare can establish a reliable method of prioritizing members at risk of food ...

The transition toward sustainable and low-carbon energy systems is driving the rapid development of emerging infrastructures based, for example, on ...

Ligand-based drug design combines AI and QSAR modeling to prioritize drug candidates, minimizing preclinical failures and ...