I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful. Every data point, every observation, every piece of knowledge doesn’t exist in ...

A novel approach from the Allen Institute for AI enables data to be removed from an artificial intelligence model even after it has already been used for training.

In contrast, specialised data warehouses were focused on improving the quality of decision support by handling a wide range of data specific to diseases, using specialised architectures and advanced ...

What I eventually realized was that my training as a systems engineer was influencing how I saw the process of data modeling and what I felt was wrong with many data modelling efforts. I further ...

Transforming Data Warehousing with ML Capabilities Before this, traditional data warehouses operated basically in the structures concerned with data storage and retrieval, with no dynamic analytical ...

Data mining and warehousing techniques are essential for managing and analyzing large datasets across various industries. This meta-analysis aims to consolidate ...

A variety of data-driven modeling techniques is available to formulate such predictions. Data-driven models provide valuable tools for formulating predictions where there is a lack of mechanistic ...