Abstract: This paper investigates the distributed set-membership filtering for a class of discrete systems over wireless sensor networks. A new type of coding ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results.

After solving 1700 LeetCode problems, these three strategies proved most effective for sharpening logic, spotting patterns faster, and optimizing solutions. They emphasize consistency, learning from ...

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence ...

Abstract: Coding metasurfaces, composed of artificial meta-atoms with digital encoded electromagnetic (EM) responses, have great potential for numerous information applications due to their advanced ...