A call to reform AI model-training paradigms from post hoc alignment to intrinsic, identity-based development.
Physical AI marks a transition from robots as programmed tools to robots as adaptable collaborators. That transition will ...
The model’s release comes five years after DeepMind introduced its seminal AlphaFold neural network. The latter algorithm can ...
Google DeepMind researchers have introduced ATLAS, a set of scaling laws for multilingual language models that formalize how ...
Although large language models (LLMs) have the potential to transform biomedical research, their ability to reason accurately across complex, data-rich domains remains unproven. To address this ...
BACKGROUND: Oscillatory shear stress (OSS), resulting from disturbed blood flow, is implicated in atherosclerotic plaque formation by incompletely understood mechanisms. This study aims to elucidate ...
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Data-driven modeling uncovers dynamic genome folding in three dimensions
Chromosomes are masters of organization. These long strings of DNA fold down into an ensemble of compact structures that keep needed parts of the genome accessible while tucking away those that aren't ...
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