Abstract: This article studies the data-driven reconstruction of firing rate dynamics of brain activity described by linear-threshold network models. Identifying the system parameters directly leads ...

Abstract: Contingency planning, wherein an agent generates a set of possible plans conditioned on the outcome of an uncertain event, is an increasingly popular way for robots to act under uncertainty.

As global data creation accelerates, driven by AI, cloud computing, video content, and edge applications, demand for scalable, high-performance, and cost-efficient storage solutions is surging. The ...