Legacy load forecasting models are struggling with ever-more-common, unpredictable events; power-hungry AI offers a solution.
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A behind-the-scenes blog about research methods at Pew Research Center. For our latest findings, visit pewresearch.org. Every survey finding published by Pew Research ...
The Biden administration vastly overestimated job growth during its final two years, pro-Trump economist Steve Moore said in a brief presentation from the Oval Office Thursday afternoon as he unveiled ...
CEO Sam Altman called a strange graph in its GPT-5 presentation a ‘mega chart screwup.’ CEO Sam Altman called a strange graph in its GPT-5 presentation a ‘mega chart screwup.’ is a senior reporter ...
PTY is a strong income investment, generating recurring monthly income despite share price volatility and a 14.48% decline over the past decade. The Fed's potential rate cuts could boost PTY's ...
Abstract: The shift in data distribution between training and testing presents challenges for graph neural networks (GNNs), especially in out-of-distribution (OOD) scenarios. Most analyses focus on ...
A real-time simulation framework that employs six AI agents leveraging Large Language Models (LLMs) for enhanced error detection in knowledge graphs. The system ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Graph neural networks (GNNs) have been shown to be astonishingly capable models for ...