Here are just a few of the other articles about the work. I got to page 10 in Google and gave up. I know there are many, many more out there. Thanks for going to so much trouble, folks.

Wired.co.uk No more blue screen of death with crash-proof computer

Wall Street Journal tech blog The Self-Repairing Computer That Never Crashes

Phys.org Researchers build self-repairing "systemic" computer (Also reported in eScience News, feedstory.net)

ZeeNews Now a Computer that Heals Itself(Also in The Times of India, truthdive.com, aninews.com, RupeeRains News, penmai.com, socialmediablazer.com)

pcworld.com Crash-proof computer tactic revealed by UK researchers (also reproduced in computerworld.co.nz)

pcpro.com Crash-proof computer created by London researchers

Hexus.net The "systemic computer" that repairs itself and never crashes

Slashgear.com Systemic computer can rebuild corrupted data and never crashes (also reproduced in techinvestornews.com)

digitaltrends.com Scientists design crash-proof computer based on nature’s chaos

extremetech.com Researchers create crash- proof, self-repairing, inspired-by-nature computer

kitguru.net How to build a PC that never crashes

venturebeat.com Scientists invent a self-repairing computer that will never crash (also in ebests.com, gamespasm.com)

techspot.com Scientists develop computer that never crashes

ubergizmo.com Computer That Never Crashes Mimics Biology

gizmodo.com Scientists Claim They’ve Built a Computer That Never Crashes

IT News Today Found a way to rid computer of lockups and crashes

We've been working on my systemic computer for several years but it's only now that we have a working hardware version, thanks to my talented EngD student Christos Sakellariou.

The computer is a result of more than a decade of research into modelling natural processes using conventional computers (processes such as evolution, brains, ecosystems, etc). The models were usually very slow and I realised that our conventional computers have a very different way of processing information compared to all natural systems. For example, our brain has billions of neurons, many of which can fire at the same time. This means information is processed in parallel, distributed across the whole brain. In conventional computers, only one (or very few) instructions are followed at the same time, memory is centralised, and so although they do things very fast, they are still very slow compared to our brains. The other problem is failure - a centralised architecture will fail as soon as one component fails. In our brain we lose neurons every day but we're fine - our brains have the redundancy to cope and the ability to reconfigure themselves to make use of what is left. So I decided I wanted to build a computer that worked more like a brain. The result is the systemic computer. It processes information in parallel and it can reconfigure itself if it gets damaged.

We're still working on it, and you can read more about the systemic computer here. However, we're very pleased to have a lead technology story in New Scientist today! Not only that, but the story was the most read on the New Scientist website . Thanks to Paul Marks for the article.

The video has now been made available so you can watch the full talk here. I called it The Sound of Numbers Crunching.

You can also see a range of photos from the event online here.

The twitter response was so funny - particularly when I hammered a nail through a laptop live on stage - that I took a few snapshots of it, below:

It's an interesting piece of work and I enjoyed helping Soo Ling create the model. We're still working on it, and are looking at the effects of publicity strategies, different charts, and all kinds of other things...

The article is available online here, or below if you want a quick view.

The Blind Watchmaker - Dawkins inspired a whole generation of computer scientists and artists with this work, which even included output from a computer program he had written to evolve forms.

Evolutionary Art and Computers - William Latham and Stephen Todd showed just how powerful evolution in computers can be. This book inspired me personally through my early career.

Sum: Forty Tales from the Afterlives. David Eagleman. A quirky but fascinating view of life and death, which includes some science fiction and computer-enabled afterlives.

Cambrian Intelligence: The Early History of the New AI (Bradford Books). Rodney Brooks helped change the way we approach Artificial Intelligence by thinking about emergence, bottom up processes instead of engineered, top down intelligence.

The Unnatural Nature of Science. Lewis Wolpert - Like all his books, this is a joy to read. It's also a fascinating exploration of what science is and is not. To a computer scientist this is essential reading, for Lewis explores the difference between science and technology - a topic often confused in my field!

In their wisdom, the BBC Focus folks decided to focus on three. They rang me for an interview (my words may be online somewhere as a podcast as well). This article was the result: