The impact of continually evolving digital technologies and the proliferation of communications and content has now been widely acknowledged to be central to understanding our world. What is less acknowledged is that this is based on the successful arousing of curiosity both at the collective and individual levels. Advertisers, communication professionals and news editors are in constant competition to capture attention of the digital population perennially shifty and distracted. This paper, tries to understand how curiosity works in the digital world by attempting the first ever work done on quantifying human curiosity, basing itself on various theories drawn from humanities and social sciences. Curious communication pushes people to spot, read and click the message from their social feed or any other form of online presentation. Our approach focuses on measuring the strength of the stimulus to generate reader curiosity by using unsupervised and supervised machine learning algorithms, but is also informed by philosophical, psychological, neural and cognitive studies on this topic. Manually annotated news headlines - clickbaits - have been selected for the study, which are known to have drawn huge reader response. A binary classifier was developed based on human curiosity (unlike the work done so far using words and other linguistic features). Our classifier shows an accuracy of 97% . This work is part of the research in computational humanities on digital politics quantifying the emotions of curiosity and outrage on digital media.

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Microsoft isn't going to let Sony's PlayStation Now go unanswered. The company has announced that it's developing its own game streaming service, which promises "console-quality gaming on any device." In other words, expect Xbox-level visuals and gameplay on everything from your laptop to your phone. It'll take advantage of the company's experience with AI to achieve that goal. Follow all the latest news from E3 2018 here!

The process of setting the aperture, shutter speed and ISO of a hunk of electronics and glass to capture that perfect moment and then rushing home, uploading it to Photoshop, realising it is absolutely rubbish and crying because you wasted 3 hours stood outside in the freezing cold is truly beautiful. But, is artificial intelligence about to change all that? Over the last few weeks I have seen a couple of AI camera accessories that have been released or are in the late stages of development and at first, I was blown away. One of these was an AI-powered speedlite (that big flashy part that sticks out the top of the camera and instantly gives you 100 professional boasting points). As I understand it the device will analyse your subject and the surroundings and then bounce (aim) the flash in order to give you the best lighting possible. The tagline was "professional lighting made easy" or words to that effect.