Gestures and emoji don’t break down into smaller parts. Nor do they easily combine into larger words or sentences (unless we’re using a clunky version of the grammar of our language).
Browsing: The Conversation
NASA’s Apollo programme was one of the most challenging technological achievements in the 20th century. Beyond the space race and exploration, it contributed to several inventions and innovations that are still having an impact on our lives. But at the same time, there are several myths regarding what technologies actually came out of it.
If you’ve ever participated in a virtual reality (VR) experience, you might have found yourself navigating the virtual world as…
As a cryptocurrency, there is no physical form that gives Bitcoin value, so it is impossible to perform traditional fundamental analysis of the currency. Consequently, many investors track the so-called technical trading indicators (geometric patterns constructed from historical prices and trading volumes) in order to understand and predict Bitcoin’s future movement.
This year marks the 50th anniversary of the first Apollo moon landing. This was possible thanks to an extraordinary acceleration of…
The Apollo computer was state-of-the-art in its time, but what would have been different if the moon landing had the state-of-the-art computers that are available today?
I suspect that the software development time would have been a lot faster, due to the software development tools that are available today. It would have been a lot quicker to write, debug and test the complex code required to deliver a man to the moon.
Let’s go back to the basics and look at what Libra is, how it compares to other cryptocurrencies and whether you should be concerned about using it when it eventually arrives.
Facebook’s Libra cryptocurrency has taken a lot of criticism from Western government officials and media commentators – but it’s not meant for them. A major target market for the Libra is users in developing countries.
While photographic fakes have been around since the dawn of photography, the more recent use of deep learning artificial intelligence techniques (the “deep” in deepfakes) is leading to the creation of increasingly credible computer simulations.
Each mock-up presented a fake image accompanied by a short textual description about its content and a few contextual cues and features such as the particular place it purportedly appeared, information on what its source was and whether anyone had reshared it – as well as how many likes or other interactions had happened.










