Nuance and Judgement are Needed for an AI Resilient Enterprise. While multi-modal AI can ingest vast amounts of data, it ...

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the ...

Jeongho Park, engineer at GraphAI and second author; Donghyoung Han, CTO of GraphAI and third author; Geonho Lee ...

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination" — the generation of ...

Abstract: Relational machine learning studies methods for the statistical analysis of relational, or graph-structured, data. In this paper, we provide a review of how such statistical models can be ...

Advances in artificial intelligence (AI) are rapidly expanding what can be predicted and produced in biotechnology, transforming the life sciences into a computational, distributed, and increasingly ...

This post continues the series from the Adjoint School of Applied Category Theory 2022. It is a summary of the main ideas introduced in this paper: Filippo Bonchi, Dusko Pavlovic and Pawel Sobocinski, ...

This repository implements our EMNLP 2022 research paper. HyperRED is a dataset for the new task of hyper-relational extraction, which extracts relation triplets together with qualifier information ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Editor’s note: Kumo AI was one of the ...

Objectives Understand the relational influences on help-seeking for mental health and substance use problems among people experiencing social marginalisation, with a focus on research applying social ...