Category Archives: Software

Advanced Machine Learning and Data Mining: A New Frontier in Artificial Intelligence Research

Special Issue Information: Advanced Machine Learning and Data Mining: A New Frontier in Artificial Intelligence Research (Big Data and Cognitive Computing Journal)

Call for Papers

Without data, there is no machine learning (ML), so there is no doubt that big data and ML are inextricably linked. However, much research to date has tended to treat them as separate areas of development. As we are confronted with today’s difficult problems and the wealth of held data continues to grow, it is vital that new, innovative ways of examining, testing, and using big data to produce useful information are both researched/developed and integrated. Whether this be for the social good (health diagnostics, for example) or corporate gain (competitive advantage), given the exponentially increase in both the volume of data and the velocity by which it is generated, the need for the expansion of direct cooperation of mining big data with ML is long overdue. For this Special Issue, as the individual fields of advanced machine learning and advanced data mining are well established, the focus will be specifically on their intersection: the point―or points―at which one aids, needs, or enhances the other.

This new frontier is almost boundless, but will eventually become the norm. Automatically learning and improving from experience without being explicitly programmed gives great opportunities. The quality of the data being used, its speed of acquisition, and the effectiveness of processing are all of vital importance―if Microsoft’s AI chatbot Tay taught us anything at all, it is certainly this.

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Effective Age-gating for Online Alcohol Sales (Final Report)

‘Surprised?  No, not really!’

The ‘Effective Age-gating for Online Alcohol Sales’ report, funded by Alcohol Change UK, is published today.  Written by Jess Muirhead and Vic Grout, it considers the question of how easy it is for UK under 18s to purchase alcohol via the Internet, and makes five key recommendations:

Recommendation 1: The law must be clarified

Despite its best intentions, the current law is ambiguous in relation to how and where safeguards are to be applied to prevent under 18s obtaining alcohol online.  If the intention really is to allow age-checking on delivery as a substitute for online verification then that should be published as official guidance by the relevant authorities.  However, knowing such measures to be as ineffective as they are, it is to be hoped that the necessary clarification would move the law in the other direction: that robust online age verification – at the transaction stage – becomes a clear legal requirement.

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AI/Machine Learning for Minefield Clearance

“Glyndwr University researcher seeks real world data to develop AI landmine clearance”

A landmine research project which aims to develop an artificial intelligence approach to mine clearance is being developed at Wrexham Glyndwr University.

The project – which is currently in its developmental stages – is being developed by Computing PhD student Alexander Bruckbauer who is working on building the model under the supervision of Professor of Computing Futures Vic Grout.

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And so it continues …

Following on from the recent More Predictions Coming True? post, ‘more predictions coming truer!’

https://www.cnet.com/news/clearview-app-lets-strangers-find-your-name-info-with-snap-of-a-photo-report-says

See Shazam for People? in 2014 …

Ends.