Google popularized the term "knowledge graph" in this 2012 blog post. Since then, there has been a massive momentum around ...

Pharvaris' innovative approach to treating hereditary angioedema (HAE) with deucrictibant. Read here for an investment ...

Innovation requires information, context, collaboration, experimentation, and even failure. Using simulation to make ...

Graph data, essential in fields like knowledge representation and social networks, often involves large networks with many nodes and edges. Transmitting these graphs can be highly inefficient due to ...

Understand Levels of Assurance (LOA) policies, EAL levels, and how to implement them for robust cybersecurity. A practical guide for CTOs and VPs of Engineering.

Transforming your impact data into sharp, strategic charts is easier than you might think. These simple visualization ...

Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

Sentiment analysis and graph neural networks (GNNs) together present a potentially efficient way to improve the accuracy and personalization of recommendations in real-world movie recommendation ...

An Analysis of Place Betting on Betfair One of the comments about an article I wrote a couple of months ago asked whether I ...

Western Asset Premier Bond Fund's risk/reward profile is unattractive amid tight credit spreads. Read here for an investment ...

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...