MRI, electroencephalography (EEG) and magnetoencephalography have long served as the tools to study brain activity, but new research from Carnegie...
As scientists push the boundaries of machine learning, the amount of time, energy, and money required to train increasingly complex...
Researchers have designed a machine learning method that can predict the structure of new materials with five times the efficiency...
Researchers at Oxford University’s Department of Materials, working in collaboration with colleagues from Exeter and Munster, have developed an on-chip...
A crucial but poorly-studied parameter that dictates battery performance is the migration barrier. It determines the rate at which ions...
If a friend told you they were feeling blue, would you think they were changing color? Although this question may...
Digital information is everywhere in the era of smart technology, where data is continuously generated by and communicated among cell...
While a clear night sky might seem quiet and peaceful to us, empty of everything but stars, this nocturnal world...
The biggest benchmarking data set to date for a machine learning technique designed with data privacy in mind has been...
About a decade ago, deep-learning models started achieving superhuman results on all sorts of tasks, from beating world-champion board game...
Computers can be trained to better detect distant nuclear detonations, chemical blasts and volcano eruptions by learning from artificial explosion...
By applying a machine-learning technique, a neural network method, to gigantic amounts of simulation data about the formation of cosmic...
