Computer Sciences

New modelling methodology for large-scale dynamic networks

Engineering systems, such as power grids and transportation systems, are becoming increasingly complex and encompass numerous sub-systems that are spatially interconnected. Modeling of these 'dynamic networks' is an important ...

Computer Sciences

Machine learning tool sorts the nuances of quantum data

An interdisciplinary team of Cornell and Harvard University researchers developed a machine learning tool to parse quantum matter and make crucial distinctions in the data, an approach that will help scientists unravel the ...

Computer Sciences

EventDrop: a method to augment asynchronous event data

Event sensors, such as DVS event cameras and NeuTouch tactile sensors, are sophisticated bio-inspired devices that mimic event-driven communication mechanisms naturally occurring in the brain. In contrast with conventional ...

Machine learning & AI

New machine learning methods could improve environmental predictions

Machine learning algorithms do a lot for us every day—send unwanted email to our spam folder, warn us if our car is about to back into something, and give us recommendations on what TV show to watch next. Now, we are increasingly ...

Consumer & Gadgets

What users think about logging in without a password

Many users consider passwords extremely burdening. An authentication protocol for websites, called WebAuthn, could render them obsolete. Users can use it to log on to a service such as a social network or an online shopping ...

page 2 from 13