Showing 1 - 3 of 3
AI learning versus human creativity is a real battle
Life, James Hein, Published on 25/02/2026
» If you’ve been reading these columns long enough, you’ll probably know that I write music and I’ve written some books. With the advent of artificial intelligence, the concept of copyright and private property has blurred. The standard rule was, what you have worked hard on to create, belongs to you. As musicians and authors, ideally, we create, we write and we invent. In the world of AI, it will draw a picture, write a book and create music for you based on a simple text prompt that itself may have also been written for you by AI.
Transpacific cable is cut, for now
Life, James Hein, Published on 16/09/2020
» In light of the problems between the USA and China, and that those in power in Beijing want to grab data from US networks, Google and Facebook have dropped plans to build an undersea cable between the US and Hong Kong. The new target limits the landing points to the Philippines and Taiwan and now excludes Hong Kong. The HK section of the cable is built but will not now be activated due to a national security agreement between the US and Google and Facebook. I will predict that if Joe Biden wins the next US election this decision will be revisited.
AI-aided hope on the horizon
Life, James Hein, Published on 13/02/2019
» Despite some of my criticisms in the past there are some excellent examples of emerging artificial intelligence technologies. I've mentioned some of these from the medical world in earlier articles but a new one caught my eye this week, figuring out in which hotel a picture was taken. No, not to help people remember where holiday snaps were taken but to track down human trafficking where pics of women are taken to sell them for sex. The three groups behind this identification technology are from George Washington University, Temple University and Adobe, all in the US. Like many AI systems a large amount of source data is used and to help with this more than a million images have been collected from 50,000 hotels worldwide. Using all the room elements in backgrounds a neural network is being trained to identify a hotel chain and then a location.