Showing 1 - 6 of 6
What to expect in the year ahead
Life, James Hein, Published on 31/12/2025
» The coming year will be full of artificial intelligence, robots and a Starlink communications experience that will have many moving from their current providers. Let's dig in with my predictions for 2026.
The future of AI is LAM
Life, James Hein, Published on 14/02/2024
» After my earlier article, I realised I was somewhat scant on what a Large Action Model (LAM), also called Large Agentic Models, are. As already mentioned, these have derived from the Large Language Models (LLM), or what people now refer generically as AI, discussed before.
The future is here and it's all about AI
Life, James Hein, Published on 04/01/2023
» Well, here we are in 2023. The last two years of Covid are behind us, some organisations are starting to rebuild and the future will hopefully be brighter.
Protect yourself when online
Life, James Hein, Published on 03/08/2022
» A friend of mine, let's call him Dave, wrote to me recently about identity theft. He told me that all of his identifying information like phone numbers, email addresses, old passwords and his usual security questions, were all available on the dark web. He also had a number of notifications of personal information breaches that resulted in fraudulent charges, the need to replace credit cards and attempts to set up fake bank accounts in his name. The latter is used if a hacker is planning to get into your other accounts so they can transfer funds to themselves under your name.
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.
Looking into IT's crystal ball
Life, James Hein, Published on 03/01/2018
» So it is that time again when I try and gaze into the crystal ball and guess what 2018 will bring the IT world.