Abstract: A methodology for creating self-learning tutorials, including tutorials that use screencast technology, is described in this recommended practice. Methods and practices that are applicable ...

Artificial intelligence and related technologies are evolving rapidly, but until recently, Java developers had few options for integrating AI capabilities directly into Spring-based applications.

Ready-to-use code and tutorial notebooks to boost your way into few-shot image classification. This repository is made for you if: you're new to few-shot learning and want to learn; or you're looking ...

See how to query documents using natural language, LLMs, and R—including dplyr-like filtering on metadata. Plus, learn how to use an LLM to extract structured data for text filtering. One of the ...

Recent advances in high-performance computing (HPC) technology enable simulations of increasingly large and complex models. While these simulations offer huge potential for science and society, it ...

Link to tutorial on Github: https://github.com/hydroclimali/XEE_tutorial/blob/main/xee_demo.ipynb I've been working with geospatial datasets for 13+ years now (since ...

What is a Structural Topic Model? A Structural Topic Model is a general framework for topic modeling with document-level covariate information, which can improve inference and qualitative ...

In recent years, multivariate pattern analysis (MVPA) has been hugely beneficial for cognitive neuroscience by making new experiment designs possible and by increasing the inferential power of ...

Unlike previous works, this open data collection consists of X-ray cone-beam (CB) computed tomography (CT) datasets specifically designed for machine learning applications and high cone-angle artefact ...