When will I die? This question has endured across cultures and civilisations. It has given rise to a plethora of religions and spiritual paths over thousands of years, and more recently, some highly amusing apps.
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The traditional first column of the year is usually a prediction of the events and trends to expect this year. I’ll give it to you in a sentence, then focus on the unfortunate reality in South Africa where the tech we need to focus on is somewhat more prosaic but infinitely necessary: solar.
The line between toy, gadget and professional device is blurrier than ever, as manufacturers churn out products including drones for kids and plush toys with hidden nanny cams.
Star Wars: The Rise Of Skywalker, the final film in the epic Star Wars series, will hit the big screens on December 19. Science fiction in general – and Star Wars in particular – is a hugely popular genre, much because of the titillating possibility that the mind-blowing technology we see on screen could one day work.
Digital technologies are often put forward as a solution to environmental dilemmas. The spread of the internet came with claims of a huge reduction in printing, and by replacing paper with bytes, we thought we’d reduce our negative environmental impact
Imagine yourself graduating from high school, with the world before you.
But now you must decide what career you want to pursue. You hope for a job that will pay the bills, but also one you will enjoy. After all, you will spend a large portion of your waking hours at work.
Hardly a week goes by without a report announcing the end of work as we know it. In 2013, Oxford University academics Carl Frey and Michael Osborne were the first to capture this anxiety in a paper titled: “The Future of Employment: How susceptible are jobs to computerisation?”.
Modern society has given significant attention to the promises of the digital economy over the past decade. But it has given little attention to its negative environmental footprint.
Researchers recently produced an algorithm that could guess whether heart patients had lived or died from their condition within a year. By looking at data from a test of the heart’s electrical activity known as an electrocardiogram or ECG, the algorithm successfully predicted patient survival in 85% of cases