What began as a Ph.D. project has grown into a website with 120,000 unique visitors each year. With the platform OpenML, ...

AutoML for Embedded is available now on Visual Studio Code Marketplace and GitHub.

Sai Krishna's work in text mining has earned him well-deserved recognition within his organization. His development of an RShiny-based machine learning workbench was a game-changer, leading to ...

In sleep health, Dr. Phang's team also developed a Multiscale Temporal Convolutional Neural Network (MTCNN) algorithm in the Journal of Neural Engineering that achieves 88.24% accuracy in sleep-stage ...

Northwestern Engineering faculty and students participated in the annual forum for advances in theory, empirics, and ...

In today's AI-driven world, AI tools for data analysis have supercharged the ability to extract meaningful insights from vast ...

Antoni Shtipliyski offers advice on how early-career researchers can transition into machine-learning roles in industry.

However, these techniques often lack specificity, necessitating the development of robust diagnostic tools for real-time applications. In the current study, fluorescence spectroscopy is integrated ...

Typical Azure Machine Learning Project Lifecycle (source: Microsoft). At the upcoming Visual Studio Live! @ Microsoft HQ 2025 conference in Redmond, Eric D. Boyd, founder and CEO of responsiveX, will ...

Cerebral stroke is a major global health issue, contributing to high mortality and long-term disability. Early identification of individuals at high risk of stroke can significantly improve preventive ...

Azure Machine Learning integrates with other Azure services and supports popular open-source frameworks, making it a versatile and powerful tool for ML projects. With Azure Machine Learning, users can ...

Model Teaching in Health With BNN and Active Learning This project aims to integrate domain knowledge with deep learning through an intuitive interface designed for medical professionals. It leverages ...