Principal Data Engineer Rajesh Mattaparthi is using transformer-based AI to detect hidden faults in standby power generators ...
For decades, scientists trying to build better catalysts have relied on a single guiding principle: there is one sweet spot, ...
AI is often described as a mirror of humanity. A mirror can flatter, distort, or expose. But do we like what we put in front ...
Its first exhibit translates rainforest data into a sumptuous audiovisual experience, but without a strong thesis about data ...
University of Pittsburgh postdoctoral researcher Mary Cundiff uses machine learning and single-cell genomics to study ...
The adoption of deep learning techniques in recent literature is motivated by their superior performance compared to classical machine learning methods. However, ethical and regulatory concerns ...
A systematic review newly published in the Journal of Pipeline Science and Engineering maps machine learning (ML) advances for pipelines across the full lifecycle: reliability-based design, structural ...
Understanding barriers to the clinical breast exam in Telangana, India: A survey study of participants and non-participants in underserved rural and urban areas. This is an ASCO Meeting Abstract from ...
Evan Hackstadt is a computer science major with minors in biology and math. He is a 2025-26 health care ethics intern at the Markkula Center for Applied Ethics at Santa Clara University. Views are his ...
ORONO, Maine — From interpreting a medical scan to sorting family photos, artificial intelligence (AI) makes snap judgments that users often trust blindly. Chaofan Chen, assistant professor of ...
ABSTRACT: This study proposes a dual-architecture Explainable Artificial Intelligence (XAI) framework designed to unify risk scoring methodologies across corporate and retail lending domains. The ...
Long-term weather forecasting is a difficult task, partly because weather systems are inherently chaotic. Though mathematical equations can approximate the underlying physics of weather, tiny ...
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