Solving life's great mysteries often requires detective work, using observed outcomes to determine their cause. For instance, nuclear physicists at the U.S. Department of Energy's Thomas Jefferson ...

Eventual's data processing engine Daft was inspried by the founders' experience working on Lyft's autonomous vehicle project.

The Graph Tsetlin Machine supports rich data (images, video, text, spectrograms, sound, etc.). One can, for example, add an entire image to a graph node, illustrated for MNIST images below: Here, you ...

The new Grok AI model can now generate images on the X social network, though Grok access is currently limited to Premium and Premium+ users on X. According to xAI, both Grok-2 and Grok-2 mini are ...

The generative AI technology powering ChatGPT—OpenAI's GPT-3.5 and GPT-4 LLMs—is available to R users, with a growing collection of packages and apps to choose from.

A knowledge graph is a representation of a collection of real-world concepts (i.e., nodes) and relationships (i.e., edges) in the form of a graph used to link and integrate data coming from diverse ...

Graph databases’ best applications, he said, appear where query processing across complex networks of relationships is vital. He cites MDM, transport logistics and data lineage as such examples.

Let’s say we have words like man, woman, king, and queen and we mapped it in a two-dimensional map where the x-axis relates the words, man and woman. The Y-axis relates to the royalty state. In such a ...

The interaction of trial type × graph type, F(1.67,63.63) = 16.48, p < 0.001, η p 2 = 0.30, indicated that trial type affected the processing times on bar graphs and dot plots differently: Bar graphs ...

A new generation of graph databases has taken hold, and a generation of query languages has arrived alongside them. The assorted graph database query languages include the likes of Gremlin, Cypher ...