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

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 ...

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 ...

Brain Station Advanced Time to Train your Brain Cell Posted: May 15, 2025 | Last updated: May 16, 2025 Ready to unlock your full math potential? 🎓Subscribe for clear, fun, and easy-to-follow ...

Self-regulated learning (SRL) encompasses the internal processes—cognitive, metacognitive, emotional, and motivational—that ...