After a long break, here’s announcing a new project … What’s it all about? Well …
Essentially, this is a novel, an academic comedy to be precise, being written in real time. My previous attempt at fiction was fairly well received so, retired now, I thought I’d try a different genre.
But rather than faff around with finding publishers this time, I thought I’d just knock it out in instalments as an online series. There are two big advantages to this: (1) I can get feedback from readers and tweak it as I go, and (2) I can ask for small donations from anyone who’s enjoying reading it. And I’ve a particular plan for (2) …
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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.
Leave a comment | tags: Advanced machine learning, AI, Artificial intelligence, Big Data, Cognitive Computing, Data mining | posted in Academia, Algorithms, Computer Science, Computing, Education, Mathematics, Programming, Science, Software
Yes, indeed, there’s a new edition of the novel!
Updated slightly to reflect changing world events (although, sadly, all the initial predictions are pretty much coming true now). And with a swish new cover! Just search for ‘Vic Grout Conscious’ on Amazon in your region (and choose the one with the cool blue cover) or use the direct links below.
Leave a comment | tags: Artificial intelligence, Automation, Automation and unemployment, Conscious, Consciousness, Internet of Everything, Internet of Things, Real Internet of Things, Science fiction | posted in Academia, Algorithms, Computer Science, Computing, Education, Engineering, Hardware, Industry, Mathematics, Philosophy, Politics, Programming, Science, Software
Einstein’s contribution to science is elegantly précised by the equation E = mc². This is unfortunately the best I can offer …
But it is based on three decades of observation and experience, inside and outside of management. This is how it works …
As a manager, what do you find hardest, makes you most uncomfortable, to be avoided at all costs, and wherever possible? Is it …
- Spending time with your team: working out what they need, pitching-in, pulling together, but having to justify decisions made by higher management? Or …
- Spending time with other managers, making decisions that affect your team, but ‘away’ from your team, often doing your best to keep things from your team?
In other words, whose side are you on? (1) Your team’s, or (2) Management’s. If you’re more comfortable spending all your time with other managers, but would rather not have to face your team with the decisions made, you know which you are!
Leave a comment | tags: Management | posted in Academia, Education, Industry