AkasicDB integrates vector, graph, and relational stores within a single DBMS, and processes queries across the three data models as a single execution plan through an unified query planner and ...
The research project promises more efficient long-term recall by organizing knowledge around abstractions and cue-based ...
Dr Christian Kunz and Marwan Ezzat of Bär & Karrer argue that as AI tools converge, technical literacy, governance, and data ...
A new preprint shows vector-similarity search can treat clinically distinct cancer variants as the same, and a typed ...
One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the generation of plausible-sounding but factually incorrect information. KAIST ...
Sales, a function that obviously runs on language, has been among the least changed by the technology built on language.
Abstract: This paper presents two semisupervised one-class support vector machine (OC-SVM) classifiers for remote sensing applications. In one-class image classification, one tries to detect pixels ...
Abstract: The task of entity alignment between knowledge graphs (KGs) aims to identify every pair of entities from two different KGs that represent the same entity. Many machine learning-based methods ...
Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...
Artificial Intelligence (AI) agents based on Retrieval-Augmented Generation (RAG) technology are rapidly proliferating. RAG ...
Sub-headline: HUST researchers systematize SNA methods, building an evolutionary taxonomy based on graph representation ...
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