To generate usable data, NSWCPD engineers built a controlled test environment and introduced faults such as air leaks, inlet ...

A machine learning model analyzing CpG-based DNA methylation accurately predicted the origin of many different cancer types ...

Machine learning has moved past its initial experimental phase. In earlier years, development often focused on creating the largest possible models to see what capabilities might appear. Today, the ...

A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...

Tungsten's superior performance in extreme environments makes it a leading candidate for plasma-facing components (PFCs) in ...

Ching-Yao Lai, an assistant professor of geophysics at Stanford University, works to advance scientific understanding of ice ...

When US Airways Flight 1549 lost all power after hitting a flock of geese in 2009, Captain Chesley “Sully” Sullenberger’s background as a glider pilot helped him manage the aircraft and see landing ...

As semiconductor technologies advance, device structures are becoming increasingly complex. New materials and architectures introduce intricate physical effects requiring accurate modeling to ensure ...

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...

Afforestation—establishing forests on previously non-forested land, or where forests have not existed for a long time—is one ...