Every developer should be paying attention to the local-first architecture movement and what it means for JavaScript. Here’s ...
We introduce DRESS, a deterministic, parameter-free framework that iteratively refines the structural similarity of edges in a graph to produce a canonical fingerprint: a real-valued edge vector, ...
Abstract: The graph neural networks (GNNs) have drawn much attention for predicting the remaining useful life (RUL) due to their excellent performance in processing correlation relationship among data ...
EmeraldGraph, a domain-specific Knowledge Graph, its schema and the full pipeline for its construction EmeraldDB, a document store extracted from ESG reports for text-based retrieval Claim grounding, ...
Two high-severity vulnerabilities in Chainlit, a popular open-source framework for building conversational AI applications, allow reading any file on the server and leaking sensitive information. The ...
We present the Symptom Cascade Analyzer (SCA), a natural language processing framework for culturally-adaptive medical diagnosis that integrates graph-theoretic symptom modeling, multilingual ...
Could 2026 be the year of the beautiful back end? We explore the range of options for server-side JavaScript development, from Express to Next and all the rest. A grumpy Scrooge of a developer might ...
Facepalm: A widely used web technology is affected by a serious security vulnerability that can be exploited with minimal effort to compromise servers. Known as "React2Shell," the flaw may require ...
Abstract: Knowledge graphs (KGs) can provide structured knowledge to assist large language models (LLMs) in interpretable reasoning. Knowledge graph question answering (KGQA) is a typical benchmark to ...
A critical vulnerability in the popular expr-eval JavaScript library, with over 800,000 weekly downloads on NPM, can be exploited to execute code remotely through maliciously crafted input. The ...
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