We develop a novel deep learning framework to achieve highly accurate machine fault diagnosis using transfer learning to enable and accelerate the training of deep neural network. Compared with ...

A robust data pipeline is essential and should not ... An AI-ready product should integrate machine learning (ML) models seamlessly into the user experience and system architecture. For instance, if ...

In a major vote of confidence for AI-native infrastructure, DataBahn has raised $17 million in a Series A round led by ...

Priya Ranjan works at the intersection of computational biology and bioinformatics, focusing on plant-microbe interactions, ...

In performance tests, RANK achieved a dramatic 99.56% reduction in alerts requiring human review using the DARPA TC dataset, and a 95% reduction on real enterprise datasets. These results underscore ...

Bhagya Laxmi Vangala is an experienced data engineering architect with more than 16 years of experience specializing in ...

In 2025, the demand for data engineering continues to surge as businesses increasingly rely on data-driven insights to fuel ...

One professional who has spent the last several years at this intersection is Pavan Mullapudi, an applied science leader who ...

The AI/ML optimized lakehouse architecture as presented by Anvesh Reddy Aileni marks a significant leap forward in data ...

Nishanth Joseph Paulraj makes it clear: building intelligent, scalable, and compliant data pipelines is no longer optional in ...