Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...

Microsoft is extending Dataverse into coding-agent marketplaces while expanding its MCP tools, certification program and governance controls.

Single-cell RNA-seq AI analysis has become the default way to make sense of the millions of expression measurements a single experiment can now generate. Turning raw sequencing counts into ...

Cross-lingual language model (XLM) provides a strong pretraining method for cross-lingual understanding (XLU) tasks. In what follows, we present applications to machine translation (unsupervised and ...

ENVIRONMENT: An Investment company is searching for a talented and driven Data Scientist to join their innovative and growing team based in Durbanville, Cape Town. This is an exciting opportunity to ...

The goal of this challenge was to detect error related potential recorded during a p300 spelling task. The classification must be done across subjects, i.e. training ...

Abstract: The diabetes detection utilizing iris images was an extensive investigation into the application of machine learning techniques for medical image analysis. The primary objective was to ...

For the classification and zoning study of crops at Jianshan Farm, data were acquired by integrating Sentinel-2 optical satellite imagery with Sentinel-1 radar satellite imagery. Different crop ...

Thinking Machines Lab released Inkling on July 15, 2026, its first model trained from scratch. The full weights ship under Apache 2.0. It is a 975B-parameter Mixture-of-Experts transformer with 41B ...