CAMERA researchers develop highly efficient neural networks for analyzing experimental scientific images from limited training data

The algorithm can accurately predict the interactions between a protein and a drug molecule based on a handful of reference experiments or simulations

ORNL-designed algorithm leverages Titan to create high-performing deep neural networks

FAU researchers have developed a technique using machine learning—a sub-field of artificial intelligence—that will enhance computer-aided diagnosis of melanoma

New deep-learning AI software produced with that technology is compact enough to fit on mobile computer chips for use in everything from smartphones to industrial robots

The researchers who built the program at the Georgia Institute of Technology would like cancer fighters to take it for free, or even just swipe parts of their programming code, so they’ve made it open source

The findings should help researchers improve the performance of catalysts to drive reactions toward desired products faster

The discovery opens the door to building large networks that operate in ways similar to the human brain

"This is the first study to test next generation sequencing and machine learning technologies together to estimate age from blood and saliva samples"