Microsoft

Rethinking Machine Learning Collective Communication as a Multi Commodity Flow problem

Cloud operators utilize collective communication optimizers to enhance the efficiency of the single-tenant, centrally managed training clusters they manage. However, current optimizers struggle to ...
IEEE

Computerized Automation and Machine Learning for Prediction of Melt Mass-Flow Rate Using Custom-Built Machine in Industrial IoT

Abstract: In the polymer industry, where polymers are transformed into a wide range of plastic products, accurate quality assessment through melt flow testing remains critical but challenging.
Recycling Today

Struktol highlights VMO series for enhanced PP processing

Polymer additive technology developer Struktol Co. of America LLC has made available its VMO Series, which it says is an advanced family of melt flow modifiers designed to optimize polypropylene (PP) ...
IEEE

Accurate and Efficient Fluid Flow Regime Classification Using Localized Texture Descriptors and Machine Learning

Abstract: This paper presents an image-based framework for classifying fluid flow regimes into low and high-speed states by utilizing spatially localized texture features combined with machine ...