News

The frantic swirl of coronavirus-related information sharing that took place this year on social media is the subject of a new analysis led by researchers at the School of Informatics and Computing at IUPUI.

A new study aimed to develop a novel collaboration method with a shared avatar, which can be controlled concurrently by two individuals in VR, and to investigate human motor behaviors as the avatar is controlled in VR.

Researchers from MIPT and Harvard have made the process of creating stem-cell derived tissue nearly four times faster, without compromising on quality.

A study has suggested that the properties of synthesized magnets can be changed and controlled by charge currents.

Information from electron microscope images and protein databases has been used to develop a detailed 3D model of SARS-CoV-2, which can be readily updated as new data becomes available.

A pre-emptive memory management system can speed up data-intensive simulations by 2.5 times by eliminating delays due to slow data delivery. The development elegantly and transparently addresses one of the most stubborn bottlenecks in modern supercomputing – delivering data from memory fast enough to keep up with computations.

Researchers have developed a machine-learning algorithm that resolved the issue of neural patterns being masked by patterns related to other activities that can be missed by standard algorithms.

A team of researchers from Kaunas University of Technology and Lithuanian University of Health Sciences proposed a non-invasive method for the detection of melanoma.

Researchers are developing a user-friendly method to reconstruct and analyze SSU rRNA from raw metagenome data for easy identification of microbes in environmental samples.

Zoologists have studied the nervous systems of insects to investigate the principles of biological brain computation and possible implications for machine learning and artificial intelligence.