Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses stochastic gradient descent, one of two ...

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

Judging and identifying biological activities and biomarkers inside tissues from imaging features of diseases is challenging, so correlating pathological image data with genes inside organisms is of ...

Methods: The KEM algorithm leverages composite frames as prior information for computing the kernel matrix. Each column in the kernel matrix serves as a basis function for image representation. A ...

When negative images intrude: Study could help characterize the ability to resist everyday distractions by Boston University School of Medicine Editors' notes ...

That's a big deal, because it means image tokens and text tokens share the same neural network. It leads to new flexibility in image creation and modification.

Last spring, our program completed a local needs assessment which identified negative body image and adolescent eating disorders as a priority concern in the county.

RuntimeError: CUDA error: no kernel image is available for execution on the device CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be ...

An artificial intelligence tool to select individuals for supplemental MRI scans after negative mammography led to detection of many cancers that would otherwise have been missed, according to a ...