How graph databases can be used to explore and analyse the decentralised XRP ledger, focusing on exploring networks of fraudulent accounts and distribution patterns.

Algorithm updates like Google Panda are more understandable when you grasp the basics of machine learning. Here’s a simplified breakdown of how search engines are able to use machine learning for ...

A new study published in Scientific Reports has introduced a promising diagnostic tool that could dramatically shorten the ...

Long overlooked and underestimated, glial cells – non-neuronal cells that support, protect and communicate with neurons – are ...

By discovering patterns hidden in existing operational data, companies can significantly improve the performance, throughput, quality, and yield of industrial operations.

Machine learning can detect and help prevent spear phishing by creating a “social graph” of a company’s typical communication patterns and flagging strange communications. Building a social graph is ...

Deep methylation sequencing aided by a machine-learning classifier of methylation patterns enables the detection of early cancers from plasma samples at dilution factors as low as 1/10,000.

AI-powered threat hunting will enable organisations to proactively search for and neutralise threats hidden within their networks, going beyond simply reacting to known attack patterns.

Language agnostic document processing: Finding relations using statistics, machine learning, and graphs Would you like to be able to find related work regardless of domain or language, more ...