The natural protein universe is vast, and yet, going beyond and designing new proteins not observed in nature can yield new ...

We present a processing pipeline for flow-based traffic classification using a machine learning component leveraging Deep Neural Networks (DNNs). The system is trained to predict likely ...

Machine learning helps improve accuracy and efficiency of small-molecule calculations Microsoft researchers used deep learning to create new DFT model by Sam Lemonick, special to C&EN June 20, 2025 ...

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing.

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 ...

Machine learning in ETL pipelines enhances product classification accuracy, scalability, and efficiency, driving real-time processing and reducing operational costs.

Here, we present a three-stage multiclass classification algorithm that introduces the idea of multivariate control charts and machine learning. The three stages are data pre-processing, control ...

The ability to find otherwise undetectable patterns in complex data with minimal operator intervention makes AI systems an ideal fit for manufacturing operations.