A machine learning model analyzing CpG-based DNA methylation accurately predicted the origin of many different cancer types ...
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 ...
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 ...
Discovering and characterizing new materials is important for unlocking advances in fields like clean energy, advanced ...
To generate usable data, NSWCPD engineers built a controlled test environment and introduced faults such as air leaks, inlet ...
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 ...
A wildfire forecasting system powered by artificial intelligence was around 30% better at identifying dangerous fire ...
What if auditors could predict when errors are more likely to occur in financial reporting? Instead of simply improving ...