Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...
Abstract: This paper examines the structural and reliability aspects of multilayer transportation networks. Using Space L, we construct these networks and develop a topology index system including ...
RealPage®, a leading global provider of AI-enabled software platforms to the real estate industry, has released a comprehensive review of its 2025 market predictions. The analysis shows that - while ...
Born out of an internal hackathon, Amazon’s Autonomous Threat Analysis system uses a variety of specialized AI agents to detect weaknesses and propose fixes to the company’s platforms. ATA was born ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...
Cirium, the world’s most trusted source of aviation analytics, has published its October 2025 On-Time Performance (OTP) Report, covering more than 370,000 flights with 99.8% global coverage. The data ...
1 Institute of Structural Material Failure and Strengthening Technology, Ningbo Polytechnic University, Ningbo, Zhejiang, China 2 School of Civil Engineering, Fujian University of Technology, Fuzhou, ...
From intern to editor, Damian Adams' story reads like a well-written novel where he steadily worked to become the youngest-ever editor of South Africa's leading motoring publication, CAR Magazine. He ...
ChatGPT can harm an individual’s critical thinking over time, a study released this month suggests. Researchers at MIT’s Media Lab asked subjects to write several SAT essays and separated subjects ...
Plasminogen Activator Inhibitors in Thrombosis: Structural Analysis and Potential Natural Inhibitors
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Thrombosis, a critical pathological event characterized by excessive clot formation, ...
SPARES combines physics-based modeling with machine learning-driven surrogate models to dramatically reduce the time and computational effort required to evaluate structural integrity, without ...
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