As AI projects move from the realm of technologists to the business environment, major organisations including Telstra and Fonterra share how they are tackling legacy data issues to prepare for agenti ...

Abstract: Graph neural network (GNN) models are increasingly being used for the classification of electroencephalography (EEG) data. However, GNN-based diagnosis of neurological disorders, such as ...

The authors have performed a potentially valuable new kind of analysis in connectomics, mapping to an interesting developmental problem of synaptic input to sensory neurons. While the analysis itself ...

Mitochondrial DNA (mtDNA) exhibits a degree of resistance to mutagenesis under genotoxic stress, and this study on the mitochondrial Transcription Factor A (TFAM) presents valuable data concerning the ...

A firearms industry trade and lobbying organization secretly built a database containing the personal information of millions of gun owners and used the data to reach gun rights supporters with ...

Without data, enterprise AI isn't going to be successful. Getting all the data in one place and having the right type of data tools, including connections to different types of databases is a critical ...

In this tutorial, we’ll show how to create a Knowledge Graph from an unstructured document using an LLM. While traditional NLP methods have been used for extracting entities and relationships, Large ...

Historically, it's been car enthusiasts of the particularly determined variety who have created technological ways to deal with speeding, with mostly legal radar detectors and extra-legal laser ...

Discover what data science is, its benefits, techniques, and real-world use cases in this comprehensive guide. Data science merges statistics, science, computing, machine learning, and other domain ...

Every year for the past 15 years, JP Morgan publishes an outstanding annual energy report by Michael Cembalest. Last week JP Morgan published its 2025 edition and today I share five important figures ...