Think of knowledge-graph-powered data catalogs as the search engine for the data in the enterprise.

Overview: Real-world messy data shows stronger skills than cleaned sample datasets.Clear project write-ups with charts tell a ...

In today's enterprise technology ecosystem, where cloud architecture, intelligent systems, and data governance intersect, ...

Instead of starting with a teacher’s explanation, many science lessons could begin with students exploring a phenomenon.

Stochastic block models (SBMs) serve as a fundamental probabilistic framework for generating and analysing network data with inherent community or modular structure. In these models, nodes are ...

Data scientists will get access to what Google calls a “reimagined” AI-first Colab Enterprise Notebook experience available ...

Information generated from climate models is often shared through graphs, maps, images, animations or reports. These visual ...

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and ...

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

Swaminathan Sethuraman, a data engineer, bridges AI theory and practice with research on continuous learning and neural ...