Researchers at the Johns Hopkins APL have found a way to use machine learning to improve defect detection for LPBF.

The rapid advancement of Artificial Intelligence (AI) and Machine Learning (ML) has revolutionized how businesses operate, ...

Machine unlearning introduces a range of security challenges that extend beyond those faced by traditional ML systems. A ...

Machine learning doesn’t replace humans. But AI does assist them in doing their job better by helping predict the success – ...

Artificial intelligence (AI) is positioned to make a major impact on almost every industry, including healthcare. A new study ...

A University of Alberta research team has successfully used machine learning as a tool for earlier detection of attention ...

Proteins play a crucial role in nearly all biological processes, yet predicting their complex interactions and designing ...

Indicators for Gleevec nonadherence were cognitive functioning, global health status score, social support, gender and others ...

Researchers have developed a machine learning model to identify defective products by detecting injection pressure during the ...

Biorefineries convert biomass, such as wood, annual plants or agricultural into products and energy. Research teams in ...