Researchers at CERN have used artificial intelligence (AI) to explore one of the Higgs boson’s most elusive behaviors, ...

Necati Catbas collaborated with his former civil engineering student Marwan Debees, Ph.D., who now works as a NASA Bridge ...

New research details how infrared thermography, high-definition imaging and neural network analysis can combine to make concrete bridge inspections more efficient. Researchers are hopeful that their ...

At the core of this transformation lies a fundamental change in epistemology: from variables to patterns, from surveys to ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, announced the development of a neural network-based quantum-assisted unsupervised data clustering ...

Machine learning and deep learning tasks demand substantial computing power. Whether you’re training a convolutional neural ...

As corporate AI power concentrates, public interest approaches are needed to ensure democratic oversight and equitable ...

Netflix shocked industry insiders in 2006 by offering a million-dollar prize to anyone who could improve their recommendation ...

Background Coronary artery disease (CAD) is linked to an increased risk of mild cognitive impairment (MCI). Effective and ...

Background: This work evaluated algorithmic bias on biomarkers using electronic pathology reports of female breast cancer across five subgroups: National Cancer Institute Surveillance, Epidemiology, ...

Researchers at the Paul Scherrer Institute PSI have developed an AI that could open up a new, cost-effective approach to ...

This repository showcases a collection of machine learning projects that I have worked on, applying various algorithms and techniques to solve real-world problems.