In the 1980s and ’90s, SFI played laboratory to a promising new method known as agent-based modeling. In ensuing decades, agent-based models (ABMs) proliferated across many fields, including economics ...

We describe how ordinary interpretations of causal models and causal graphs fail to capture important distinctions among ignorable allocation mechanisms for subject selection or allocation. We ...

Traditional smart contract audits capture snapshots while systems constantly evolve. Hybrid AI models paired with formal verification tools enable continuous, tool-grounded assurance.

Like artificial intelligence itself, the AI startup SambaNova is interesting across the stack. From software to hardware, from technology to business model, and from vision to execution. SambaNova has ...

A multivariate Gaussian graphical Markov model for an undirected graph G, also called a covariance selection model or concentration graph model, is defined in terms of the Markov properties, i.e.

RDF is a graph data model that has been around since 1997. It's a W3C standard, and it's used to power schema.org and Open Graph, among other things. Plus, there's a bunch of RDF-based graph databases ...