GraphRag: Overcoming challenges of integrating Large Language Models as reliable elements of the cyber defence community. By Dominik Tomicevic ...

Context engineering—the art of shaping the data, metadata, and relationships that feed AI—may become the most critical ...

In today's remote workplace, some colleagues may use communication to sow chaos. Here’s how to spot the destructive patterns ...

Explore how behavior graphs are revolutionizing marketing by providing real-time insights into consumer actions, reshaping strategies, and enhancing personalization. Discover the importance of ...

3D human behavior is a highly nonlinear spatiotemporal interaction process. Therefore, early behavior prediction is a challenging task, especially prediction with low observation rates in unsupervised ...

3D human behavior is a highly nonlinear spatiotemporal interaction process. Therefore, early behavior prediction is a challenging task, especially prediction with low observation rates in unsupervised ...

Additional Information: Although we observe 14 modifications in our current context, we suspect that this behavior is not dependent on the size or the number of tasks in the graph; it should affect ...

Current Behavior We are experiencing very slow task execution with NX because of the project graph creation takes a very long time (1m 30s). To be more precise this happens when there is 1 file change ...

Changing your habits can be a challenging journey, but understanding the principles behind behavior change can make it easier ...

Keywords: graph theory, graph neural network, line graph, functional connectivity, machine learning, functional MRI Citation: Acker S, Liang J, Sinaii N, Wingert K, Kurosu A, Rajan S, Inati S, ...

Student behavior task force releases first report, recommendations Recommendations came in nine sections and over 50 bullet points.