Rose Yu has drawn on the principles of fluid dynamics to improve deep learning systems that predict traffic, model the ...

Neurosymbolic AI combines the learning of LLMs with teaching the machine formal rules that should make them more reliable and ...

In his paper, Kienitz shows Gaussian mixture models ( GMM s) – a machine learning technique that has been used to fit complex ...

Endogenous intracellular allosteric modulators of GPCRs remain largely unexplored, with limited binding and phenotype data available. This gap arises from the lack of robust computational methods for ...

Kaizen rethinks cell segmentation by mimicking brain predictions. Using an iterative machine-learning approach to refine boundaries in crowded microscopy images, it enhances accuracy in tissue studies ...

Better data annotation—more accurate, detailed or contextually rich—can drastically improve an AI system’s performance, ...

When you're trying to communicate or understand ideas, words don't always do the trick. Sometimes the more efficient approach is to do a simple sketch of that concept—for example, diagramming a ...

Teaching AI to explore its surroundings is a bit like teaching a robot to find treasure in a vast maze—it needs to try different paths, but some lead nowhere. In many real-world challenges, like ...

Is the incidence of cancer of unknown primary site changing at all? Cancer of unknown primary site is an uncommon diagnosis that accounts for 2 to 4% of all cancers. Worldwide, incidence rates ...