Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ...

Welcome to my 281 archive! This notes include implementations of basic data structures: union-find sets, unordered_map by hash table, AVL tree, graph represented by adjacency matrix&list and a lot ...

Abstract: Brain–computer interfaces (BCIs) rely on accurately decoding electroencephalography (EEG) motor imagery (MI) signals for effective device control. Graph neural networks (GNNs) outperform ...

Abstract: Building extraction from airborne LiDAR data is significant for the accurate modeling of urban structures and constitutes a pivotal step in urban 3-D reconstruction. However, in complex ...

Introduction: Various drugs can markedly disrupt gut microbiota, resulting in a reduction of beneficial microbial populations and precipitating a range of negative clinical consequences. Traditional ...

Researchers from Google Quantum AI report that their quantum processor, Willow, ran an algorithm for a quantum computer that ...

Analog computers are systems that perform computations by manipulating physical quantities such as electrical current, that ...

CNBC's Squawk Box Asia Martin Soong and Chery Kang talk about AMD's chip supply deal with OpenAI, plus the web of alliances, cross shareholdings and the money loop that could shape the AI space.

The updated seat matrix is available on the official NMC website — nmc.org.in. The National Medical Commission (NMC) has released an updated seat matrix for the NEET UG 2025–26 academic session, ...

UC Santa Barbara computer scientist Daniel Lokshtanov is advancing fundamental understanding of computational efficiency through groundbreaking research on quasi-polynomial time algorithms, supported ...

I've been writing and editing stories for almost two decades that help people use technology and productivity techniques to work better, live better, and protect their privacy and personal data. As ...