Forecasting is a fundamentally new capability that is missing from the current purview of generative AI. Here's how Kumo is changing that.

Graphs, visual representations outlining the relationships between different entities, concepts or variables, can be very ...

In this paper, a graph-theory-based approach for representing planar mechanisms is presented, the Santiago Portilla method (SPM). From the corresponding adjacency matrix, SPM generates an extended ...

The brains of humans and other primates are known to execute various sophisticated functions, one of which is the ...

Fed Chair Jerome Powell insists that the U.S. central bank's interest-rate setting committee is "data driven," so members presumably are focusing on other data than what is being reviewed here. Yet it ...

To tackle this deficiency, we model the multiagent systems (MASs) as a graph and use a graph neural network (GNN) to extract rich information between one agent and the others efficiently. Moreover, we ...

2. Two constitutive models for coupled corrosion of SPA-H weathering steel were proposed based on mass loss rate and average corrosion depth, respectively. This study validated two models through ...