Longitudinal data analysis encompasses a range of statistical methodologies that examine data collected over extended periods, enabling researchers to disentangle temporal effects and dynamic ...

In the rapidly evolving landscape of modern manufacturing and engineering, a new technology is emerging as a crucial enabler-Data-Model Fusion (DMF). A recent review paper published in Engineering ...

Database optimization has long relied on traditional methods that struggle with the complexities of modern data environments. These methods often fail to efficiently handle large-scale data, complex ...

Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles are available in the industry? Will I need to be a good ...

The built environment faces increasing pressures from climate change, resource limitations, and rapid urbanisation.

Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...

This article was originally published on .cult by Nate Rosidi. .cult is a Berlin-based community platform for developers. We write about all things career-related, make original documentaries and ...

A practical overview of security architectures, threat models, and controls for protecting proprietary enterprise data in retrieval-augmented generation (RAG) systems.

Subsurface reservoir engineering has become increasingly pivotal as the world intensifies its focus on sustainable energy systems and effective resource ...