When Emil Eifrem, founder and CEO of Neo4j, was working for an enterprise content management startup in Sweden in the mid-2000s, he was struggling with the challenge of mapping relationships between ...

Debate and discussion around data management, analytics, BI and information governance. This is a guest blogpost by Emil Eifrem, co-founder and CEO at Neo4j. He writes on why he thinks graph ...

A review by researchers at Tongji University and the University of Technology Sydney published in Frontiers of Computer Science, highlights the powerful role of graph neural networks (GNNs) in ...

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs through graph partitioning, has been developed by researchers at the ...

Get the latest federal technology news delivered to your inbox. If you google “Biden + White House” and click the Image tab, you’ll see lots of photos of the President speaking or hosting guests ...

A British ‘tech bio’ start-up, Basecamp Research, says the combination of machine learning, public datasets, and a graph-based Knowledge Graph from Neo4j is proving critical to its mission of helping ...

Credit: Image generated by VentureBeat with FLUX-pro-1.1 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 ...

Graph-Tech USA (GTUS) is introducing the RFID-Runner, a next-generation UHF encode-and-print system designed to improve speed, efficiency, and cost-effectiveness in RFID label production. Traditional ...

With a $9.2 million grant from Intelligence Advanced Research Projects Activity (IARPA), Prof. Andrew A. Chien will lead a team of University of Chicago computer science researchers building the ...

Graph-Tech USA is introducing the RFID-Runner, a next-generation UHF encode-and-print system designed to improve speed, efficiency, and cost-effectiveness in RFID label production. The RFID-Runner is ...