Loss functions and constraints improve sea surface height prediction

In order to understand currents, tides and other ocean dynamics, scientists need to accurately capture sea surface height, or ...
IEEE

Topological Data Analysis in Graph Neural Networks: Surveys and Perspectives

Abstract: For many years, topological data analysis (TDA) and deep learning (DL) have been considered separate data analysis and representation learning approaches, which have nothing in common. The ...
GitHub

AI Powered Knowledge Graph Generator

This system takes an unstructured text document, and uses an LLM of your choice to extract knowledge in the form of Subject-Predicate-Object (SPO) triplets, and visualizes the relationships as an ...
IEEE

Transfer Learning-Based Region Statistical Data Completion via Double Graphs

Abstract: Region statistical data is widely utilized as fundamental spatial information for urban status observation, urban planning, and the formulation of urban policies. In practice, the collected ...
Journal of Medical Internet Research

The Evolution of Health Information Technology for Enhanced Patient-Centric Care in the United States: Data-Driven Descriptive Study

Data were primarily sourced from the American Hospital Association Annual Survey IT Supplement (2008 to 2023), Surescripts e-prescribing use data (2008 to 2023), the National Cancer Institute’s Health ...
The Verge

AI’s water and electricity use soars in 2025

A new study estimates the environmental impact of AI in 2025 and calls for more transparency from companies on their pollution and water consumption. A new study estimates the environmental impact of ...