Peter Schiff Asks Michael Saylor What's Funding Dividend Payouts On Strategy's Preferred Stock: 'MSTR Is Losing Money'

Economist Peter Schiff questioned on Thursday how Strategy Inc. (NASDAQ:MSTR) can sustain the 11% dividend payout on its ...
Blockonomi

Hedera Cofounder Explains How Hashgraph Technology Will Power Web3 Economy

Hedera's Mance Harmon outlined hashgraph technology's role in digital commerce at Davos 2026, highlighting tokenization and ...
TechAnnouncer

Master Python Online for Free: Top Resources and Tools

Python.Org is the official source for documentation and beginner guides. Codecademy and Coursera offer interactive courses for learning Python basics. Think Python provides a free e-book for a ...
IEEE

BIGFormer: A Graph Transformer With Local Structure Awareness for Diagnosis and Pathogenesis Identification of Alzheimer's Disease Using Imaging Genetic Data

Abstract: Alzheimer's disease (AD) is a highly inheritable neurological disorder, and brain imaging genetics (BIG) has become a rapidly advancing field for comprehensive understanding its pathogenesis ...
Tech Xplore

New graph attention network models higher-order relationships in complex graph data

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...
Visual Studio Magazine

Hands On Comparison: Building a Dynamic Web App in VS Code and Google Antigravity with Prompts Only

A hands-on test compared Visual Studio Code and Google Antigravity on generating and refining a simple dynamic Ticket Desk ...

Data-driven 3D chromosome model reveals structural and dynamic features of DNA

Chromosomes are masters of organization. These long strings of DNA fold down into an ensemble of compact structures that keep needed parts of the genome accessible while tucking away those that aren't ...
IEEE

Hypergraph Collaborative Filtering With Adaptive Augmentation of Graph Data for Recommendation

Abstract: Self-supervised tasks show significant advantages for node representation learning in recommender systems. This core idea of self-supervised task-based recommender systems depends on data ...