Archive for 'Algorithms' Category:

By Trevor Wood: Friday 3rd February, 2017

Big Data: Tomorrow’s World or Black Mirror

In my favourite episode of Black Mirror, personal data is weaponised. The episode portrays a world where personal information is stored forever and used to determine a ubiquitous social currency. Among the nasty consequences is that a failure to keep up appearances might leave you unable to board an aeroplane or live in a fashionable […]

By Dave Gladwin: Wednesday 14th December, 2016

Getting Smart at the Edge – Predictive machine maintenance

Machine maintenance may sound like a dull subject but getting it right could propel maintenance strategies straight into the heart of state of the art technologies. I’m talking about predictive maintenance. If you consider that a single unplanned shutdown in the semiconductor industry can cost as much as $3 million, you can see how getting […]

By Trevor Wood: Wednesday 14th December, 2016

Has Deep Learning Graduated to Predicting the Future?

Niels Bohr is quoted as saying “prediction is difficult, especially about the future”. This seemingly tautological statement hints at the point in the scientific process whereby hypotheses are formed which make predictions about measureable properties of the world. Of course, these properties were already there when the hypothesis was made so it is a prediction […]

By Simon Jordan: Thursday 1st December, 2016

The Lost Art of Control

There’s no shortage of Silicon Valley companies eager to wire up the world, and no shortage of sensor manufacturers which can supply new measurements of process variables. The systems to shape and present all this data have benefitted massively from the ‘big data gold rush’. This is leading to a new problem – and one […]

By Tom Fry: Tuesday 12th July, 2016

Technology Transfer to some of the World’s Largest Industries

My colleague’s article on Edge Intelligence is well timed. Economic and environmental pressures are forcing companies, and indeed entire industries, to find ever more innovative solutions to optimize their processes and reduce down time. The shift from traditional manufacturing processes towards Smart Factories or Industry 4.0 requires a combination of smart sensors, wireless and wired […]

By Joe Smallman: Tuesday 6th October, 2015

Keeping an open mind about open source

Combining open source tools with in-house expertise can open up a world of possibilities for highly tailored solutions. The ‘not invented here’ bias is a fascinating psychological principle where in-house solutions are preferred over third party products. Ignoring the negative connotations that are usually associated with this bias, there are a few reasons why a […]

By Simon Jordan: Monday 21st September, 2015

‘A robot defence against a robot target’ – an analogue defence network

It’s well known how the mathematicians and engineers at Bletchley Park changed the course of the war, but much less has been told about the revolution which was required to defeat the V1 bomb. The low altitude and relatively high speed of the V1 meant that standard AA guns were not capable of hitting it […]

By David Rimmer: Monday 1st June, 2015

Advanced machine learning algorithms – helping to model supply chains

Modern supply chains are complex dynamic systems with often counter-intuitive dynamics that are subject to fluctuating supply and demand. The world economy and the delivery of vital commodities depends on these globe-spanning networks. Mathematical models of the supply chain can help but they are difficult and expensive to create, and out-of-date almost as soon as […]