Walk through enough industrial AI deployments and a pattern becomes uncomfortable to ignore. The pilot works. The model ...

Sonorus isn't the only organisation working to detect heart disease via AI sound analysis. Studies on AI-enabled stethoscopes ...

When someone walks into an emergency room with symptoms of a stroke, every second matters. But today, diagnosing the type of stroke, the life-or-death distinction between a clot and a bleed, requires ...

Abstract: Community detection in social networks is a fundamental challenge in network science driven by the increasing complexity of online platforms. In a given network, a community is a group of ...

Background: Wearable devices can capture 1-lead ECGs but are primarily used for detecting rhythm disorders. AI deployed on these ECGs could enable scalable detection of structural heart diseases (SHDs ...

Abstract: Multilayer networks, as an important branch of network science, have become a powerful tool for revealing and analyzing the internal structures of complex systems. Within these networks, ...

Scientists at Tarim University of China have proposed a way to address the challenging problem of pose recognition for photovoltaic panel cleaning robots. Their novel solution is based on a low power ...

Meta is taking a page straight out of X's playbook on fact-checking. Meta said Thursday it'll use the open-source algorithm of X for its new community notes model. Its moderation overhaul, announced ...

Although Memgraph provides the Leiden community detection algorithm through cuGraph, to support the addition of Memgraph as part of the R2R initiative, the Leiden community detection algorithm should ...

I have encountered an edge case that causes an infinite loop when running the util.community_detection algorithm. The problem can be observed when running the algorithm on a batch of sentences that ...