A chart created by METR, a nonprofit AI organisation, has become an industrywide obsession as it measures the rapid ...

Abstract: In this paper, we study the problem of private information retrieval (PIR) in both graph-based and multigraph-based replication systems, where each file is stored on exactly two servers, and ...

This important study advances a new computational approach to measure and visualize gene expression specificity across different tissues and cell types. The framework is potentially helpful for ...

Abstract: Graph Neural Networks (GNNs) have gained popularity in numerous domains, yet they are vulnerable to backdoor attacks that can compromise their performance and ethical application. The ...

AI investment is skyrocketing while AI’s impact on jobs and public perception remains mixed ...

Existing KGQA paradigms are limited by static reasoning scopes and a lack of autonomous, global-scale exploration, leading to poor generalization on complex structures. GraphWalker overcomes these by ...

Chizu is a local repository understanding engine. It extracts deterministic structural facts about a codebase -- components, files, symbols, docs, infra units, and their relationships -- and uses ...