Titled "Machine Learning for Chemistry: Basics and Applications," this comprehensive review aims to bridge the gap between chemists and modern ML algorithms, providing insights into the potential ...

According to Google Trends, interest in the term 'machine learning' (ML) has increased over 300% since 2013. The world has watched ML go from the realm of a relatively small number of data ...

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

In basic terms, a knowledge graph is a database which stores ... As well as being a useful format for feeding training data to algorithms, machine learning can quickly build and ...

Machine Learning: A field of artificial intelligence, focused on the creation of algorithms, models and systems to perform tasks and generally to improve upon themselves in performing that task ...

The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

Combining graphs and machine learning has been getting a lot of attention lately, especially since the work published by researchers from DeepMind, Google Brain, MIT, and the University of Edinburgh.

Amazon Neptune just added another query language, openCypher, to its arsenal. That may not sound like a big deal in and of itself, but coupled with updates in machine learning and data science ...