In a time of increasing climate variability, researchers Pengfei Xue and Miraj B. Kayastha have developed regional Earth system models to better understand and predict extreme weather and ...
Integrating computational models (SELFormer, AlphaFold2, scConGraph, PROTAC-RL) with multi-omics data to validate historically undruggable targets (e.g., KRAS via ...
DeepSeek debuted Manifold-Constrained Hyper-Connections, or mHCs. They offer a way to scale LLMs without incurring huge costs. The company postponed the release of its R2 model in mid-2025. Just ...
A new computational model of the brain based closely on its biology and physiology not only learned a simple visual category learning task exactly as well as lab animals, but even enabled the ...
In the same vein as weather forecast models that predict developing storms, researchers have now developed a method to predict the cell activity in tissues over time. The new software combines ...
Digital twins introduce a shift from static, retrospective modeling to continuously learning systems that adapt as new biological and clinical evidence emerges. By linking mechanistic understanding ...
Artificial intelligence (AI) is increasingly transforming computational mechanics, yet many AI-driven models remain limited by poor interpretability, weak generalization, and insufficient physical ...
Language is a remarkable human capacity. No group of people has been found that lacks language and no other species has been found to communicate in a similar way. To elucidate what it is that ...
New research from the University of St Andrews, the University of Copenhagen and Drexel University has developed AI computational models that predict the degeneration of neural networks in amyotrophic ...
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