In materials science, substances are often classified based on defining factors such as their elemental composition or ...

Cluster analysis, a commonly used machine-learning technique uses these basic features to not only categorize materials and summarize similarities between them but also provide information ...

A sui generis, multi-model open source database, designed from the ground up to be distributed. ArangoDB keeps up with the times and uses graph, and machine learning, as the entry points for its ...

That may not sound like a big deal in and of itself, but coupled with updates in machine learning and data science features, it points towards the future of graph databases.

The global graph analytics market in 2022 was valued at US$1.14 billion. The market value is anticipated to grow to US$6.90 billion by 2028. The market value is expected to grow at a CAGR of 34.80 ...

TensorFlow is a Python-friendly open source library for developing machine learning applications and neural networks. Here's what you need to know about TensorFlow.

Google amps up product data for shopping, while Google Cloud opens up a tool that makes easier work of artificial intelligence and machine learning.

Novel machine learning-based cluster analysis method that leverages target material property New cluster analysis technique for grouping materials based on both basic features and targeted ...