Accrual, a tax prep and review platform for firms that launched today with $75 million in funding, already supports every ...

Graph out-of-distribution (OOD) generalization remains a major challenge in graph neural networks (GNNs). Invariant learning, aiming to extract ...

Explore how intelligent document processing transforms dark, unstructured data into actionable intelligence—enabling faster ...

Caseware is also working with the AICPA and CPA.com on the Dynamic Audit Solution (DAS), a cloud-based audit platform that integrates real-time data ingestion, analytics-driven risk assessment, ...

Intercontinental Exchange (ICE) has launched a new data product designed to turn Reddit’s massive flow of retail investor ...

The TradingView Data Fetcher is a powerful command-line interface (CLI) tool that extracts historical market data from TradingView through the TvDatafeed library. This tool provides traders, analysts, ...

Yahoo Scout is Yahoo's come back to search, using AI, its massive network and data to give you a more fun AI search ...

A low-cost scanner and smartphone may help identify high radiation exposure in emergencies, speeding triage when labs can’t ...

Build a fast Excel money tracker with SUMIFS totals, color coding, and charts, so you see monthly savings and trends without manual work.

Abstract: The emerging field of graph learning, which aims to learn reasonable graph structures from data, plays a vital role in Graph Signal Processing (GSP) and finds applications in various data ...