The tech industry very seldom uses words or phrases that offer an accurate metaphor for what is going on. However, in the case of ‘man-in-the-middle’ attacks, they are literally what they sound to be. When browsing the internet, sending email, or doing online banking or shopping – your experience will create the illusion that there […]
You only live twice, or so it seems One life for yourself, and one for your dreams… …this dream is for you, so pay the price Make one dream come true, you only live twice. John Barry / Leslie Bricusse (1967) And so sang Nancy Sinatra in the theme of the fifth instalment of the […]
Copyright Google Inc. Last week, with much fanfare, Google revealed it’s latest party-trick, “Duplex” – an upgrade for their virtual assistant. At the launch, Google CEO Sundar Pichai announced: “… our mission for the Assistant is to help you get things done”. No controversy there, you might think. He continues; “it turns out, a big […]
Theresa May is on her way to Davos, to speak at the World Economic Forum – and the papers are already stating that she is going to call for ‘safe and ethical’ artificial intelligence. In my opinion, before we can even start to talk about ‘safe and ethical’ artificial intelligence, we have to have ethical roboticists.
The story of the child, King and rice is not the only fairy tale that’s spoken about exponential growth. Unfortunately, many AI writers and commentators are also carried away by such stories, I believe they are misguided in doing so. Here’s why.
According to The Royal Society, only 9% of respondents have heard about Machine Learning, yet when faced with the impact this technology can have – it’s something 100% of us have a view on. It seems every conversation on Artificial Intelligence comes back to Philosophy – read this to see why…
The release of the 2016 Gartner Business Intelligence and Analytics Magic Quadrant has profound implications for everyone working in the Data Analytics industry. Read this article to see what has changed.
Who are the potential winners and losers from the Machine Learning Age? The dataPHILOSOPHER was asked to give evidence to The Royal Society as part of their policy project on Machine Learning. Read more to see more details on this project and the areas of focus for Policy Makers and their advisers.