If there’s one thing that characterizes the Information Age that we find ourselves in today, it is streams of data. However, ...

Graphs are fundamental mathematical structures used in various fields to represent data, signals, and processes. In this paper, we propose a novel framework for learning/estimating graphs from data.

China’s massive investment in electronic toll collection (ETC) infrastructure may be set to transform urban traffic management nationwide, according to a new survey of emerging sensing and analysis ...

IJCNN 2025 Competition: Learning with Noisy Graph Labels Handling noisy data is a persistent issue in machine learning, but it takes on a unique complexity in the context of graph structures. In ...

PRESS RELEASE – Sen. Jon Husted (R-Ohio) has joined Sens. Katie Britt (R-Ala.) and John Fetterman’s (D-Pa.) Stop the Scroll Act. The bill would create a mental health warning label requirement for ...

This article aims to address the problem of time-series forecasting. Current state-of-the-art forecasting models lack the ability to mine the spatiotemporal dependence. How to mine more useable ...

Package Name: azure-ai-agents Package Version: 1.1.0b1 Operating System: Ubuntu 22.04 Python Version: 3.10.12 Describe the bug I have several Azure AI Search indexes, each responsible for a different ...