Engineering Supply Chain Resilience: Jaymalya Deb on Machine Learning and Forecasting Innovation
Jaymalya (“Jay”) Deb is currently the Division Materials Manager in the Industrial Process Filtration Division at Parker Hannifin, a Fortune...
Learning
Fast Machine Learning Models -Nearest Neighbour Regression Rivals Kernel Ridge Regression For Atmospheric Molecular Clusters
Understanding the initial stages of aerosol particle formation remains a significant challenge in climate modelling, and researchers continually seek more...
Machine Learning Accelerates Direct Energy Deposition Research
A review published on ResearchGate by researchers at the University of Windsor analyzes how machine learning (ML) is being applied...
Spatial gene expression at single-cell resolution from histology using deep learning with GHIST
Datasets and preprocessingSubcellular in situ spatial transcriptomics data (i) BreastCancer1 and BreastCancer2—The 10x Xenium breast cancer datasets included in this...
Flexynesis: A deep learning toolkit for bulk multi-omics data integration for precision oncology and beyond
We designed Flexynesis for automated construction of predictive models of one or more outcome variables. For each outcome variable, a...
Reinforcement Learning Achieves Breakthrough In Reasoning AI
Reinforcement learning increasingly shapes the capabilities of large language models, pushing them beyond simple text generation towards complex reasoning tasks,...
