In the race to develop AI that understands complex images like financial forecasts, medical diagrams and nutrition labels—essential for AI to operate independently in everyday settings—closed-source ...

In this article, we propose a large language model (LLM)-assisted graph attentive feature interaction learning framework (CVDLLM) for automatic ECG diagnosis. It utilizes ECG data from twelve leads to ...

This study proposes a novel hybrid Topological Data Analysis (TDA) and Graph Neural Network (GNN) to optimize credit risk assessment in SCF. By leveraging BallMapper (BM) topological data analysis ...

Amid growing controversy over how tech giants harvest user data for AI, the Allen Institute for AI (AI2) has introduced a potential solution. Their new model architecture, FlexOlmo, allows ...

The Graph and TRON integration introduces real-time data streaming, enabling developers access to live blockchain insights and analytics.

With modular deployment, out-of-the-box integrations, and a graph data model built for extensibility, it empowers enterprises to govern their software supply chain - securely, autonomously, and at ...