In previous posts, we’ve introduced the ESPELETIA dimensions (Ethics, Society, Politics, Environment, Legislation, Economy, Technology, International and Arts) and the ‘key drivers’ (AI, IoT, Big Data, Robotics, Communications and the ‘X Factor’). We now build this into a complete futurology tool for projecting into the future, and provide a complete set of documentation for research and/or classroom exercises.
The previous post introduced the ESPELETIA futurism tool. Here this is combined with key emergent and future technology drivers to deliver The Futurology Grid, a useful framework for practical futurism.
The nine dimensions of the ESPELETIA tool are the coloured column headings in the table below.
The details of each are as follows:
Continue readingSpecial 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.
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.
Enjoy!
Turing's Radiator 