It sounds like science fiction: controlling electronic devices with brain waves. But researchers have developed a new type of electroencephalogram (EEG) electrode that can do just that, without the sticky gel required for conventional electrodes. Even better, the devices work through a full head of hair.

Researchers have improved our standard methods for estimating the dark matter content of the universe through artificial intelligence, using cutting-edge machine learning algorithms for cosmological data analysis that have a lot in common with those used for facial recognition by Facebook and other social media.

A novel data analysis method for prior evaluation of single crystal structure analysis has been developed. Their proposed method is based on precise estimation of a parameter inherent in preliminary-collected small data set.

In a bid to push personalized medicine forward, an ambitious ground-breaking £200 million project will see the 500,000 BioBank participants' whole genomes sequenced.

Electron microscopy (EM) image analysis can be an immensely useful process for researchers, but too often is also laborious and time-consuming. New software packages are changing that. We caught up with Laurent Billy, Director of Product Management, Applications Software at Thermo Fisher Scientific to find out more about the future of EM image analysis.

Can high-resolution images offer better accuracy in AI support for decision making than the standard low-resolution images used in most deep learning models today? The answer can help us understand the details that are critical for fine-tuning of all machine learning work, on all machines.