Deep learning is possibly the most exciting branch of contemporary machine learning. Complex image analysis, speech recognition and self-driving cars are just a few popular examples of a multitude of new applications where ...
This spring, Chris Callison-Burch, Ph.D., was in town to share an unusual approach to machine learning. This is one of the hottest topics in computer science: It is behind everything from Google's self-driving cars to Apple's ...
Researchers at Lancaster University are racing against time to find smart solutions to the rapidly advancing era of 'dark silicon'.
UT Arlington electrical engineers have patented an innovative method that improves a controller's ability to make real-time decisions.
QMUL machine learning researcher Dan Stowell and his business partner Florence Wilkinson have launched Warblr, their mobile app that can automatically recognise birds by their song.
The price fluctuation of fine wines can now be predicted more accurately using a novel artificial intelligence approach developed by researchers at UCL. The method could be used to help fine wine investors make more informed ...
Only a few years ago, it would have seemed improbable to assume that a piece of technology could quickly and accurately understand most of what you say – let alone translate it into another language.
A yearlong study of first-time smartphone users by researchers at Rice University and the U.S. Air Force found that users felt smartphones were actually detrimental to their ability to learn.
In pre-computer times, engineers, environmental planners and scientists alike relied heavily on detailed topographic maps to do everything from plan projects to survey areas at risk of flooding or landslides.
If you are reading this from the cubicle of your white-collar workplace, Martin Ford is pretty sure that a robot is coming to take your job.