LearningMole Launches AI for Teachers Course, One of the Best Practical AI Training Options for Primary Educators

New professional development programme helps UK teachers integrate artificial intelligence tools into classroom practice without requiring technical expertise Teachers need practical AI skills they ...

New framework simplifies the complex landscape of agentic AI

A practical guide to the four strategies of agentic adaptation, from "plug-and-play" components to full model retraining.
GitHub

A PowerShell module to create a retry mechanism around functions

Here is a list of example that are typical use cases for the module. To find more examples of how to use the module, please refer to the examples folder. Alternatively, you can use the Get-Command ...
IEEE

Learning With Partial-Label and Unlabeled Data: Contrastive With Negative Example Separation

Abstract: Semi-Supervised Partial Label Learning (SSPLL) is an important branch of weakly supervised learning, where the data consists of both partial label examples and unlabeled ones. In SSPLL, the ...
IEEE

Learning Deformable Image Registration From Optimization: Perspective, Modules, Bilevel Training and Beyond

Abstract: Conventional deformable registration methods aim at solving an optimization model carefully designed on image pairs and their computational costs are exceptionally high. In contrast, recent ...
GitHub

A PowerShell module that interacts with Atlassian Confluence

The PSModule framework for building, testing and publishing the module. To find more examples of how to use the module, please refer to the examples folder. Alternatively, you can use the Get-Command ...