Researchers have developed SpatialZoomer, a spectral graph-based tool that automatically identifies the biologically ...

Clustering algorithms are the workhorses of modern data science, quietly sorting everything from medical images to customer records into meaningful groups without any labels to guide them. Yet for all ...

This study proposes a deep neural network model based on the Convolutional Neural Network (CNN) algorithm combined with multi-scale feature learning—Dual-Net Multi-Scale Fusion (DN-MSF). It aims to ...

SPMF offers a graphical user interface (GUI), a command-line interface (CLI), and a server for alternatively running data mining algorithms through REST queries from a Python or Web client. SPMF can ...

Previous work has suggested that γδ T cells are critical players in immune responses to helminth infections, although their ...

OCANNL starts with a high-level representation, but can compile everything down to for loops. The library users can compile any amount of code into a routine (i.e. a compilation unit). The user ...

The Microsoft Entra team regularly updates Microsoft Entra Connect with new features and functionality. Not all additions apply to all audiences. Mandatory upgrade ...

Discrete diffusion language models offer a compelling alternative to autoregressive generation for tasks demanding bidirectional reasoning and global constraint satisfaction. Yet they share a ...

Microsoft Research conducts fundamental science and technology research across a spectrum of research areas. With labs around the globe we pursue breakthroughs across the computing and AI stack to ...