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Afonso Xavier
Trying to make sense of Google+
Trying to make sense of Google+

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Find a good narrative. You will improve your syntax and collocations as we move on.
"Turing Test success marks milestone in computing history"
"An historic milestone in artificial intelligence set by Alan Turing - the father of modern computer science - has been achieved at an event organised by the University of Reading."

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Towards a lingua franca or an universal model of language? 
Two different issues converge: English as a lingua franca, and also as a basis to build "universal grammars".  Hence the questions for ( human dream since long) universal language: a natural language that becomes universally spoken or sophisticated tools that translate any language utterance (or thoughts)?

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As director of the Artificial Intelligence Lab at the University of Zurich, Dr. Rolf Pfeifer has long argued that embodiment is one of the best methods for attaining artificial general intelligence (AGI). 

The embodiment hypothesis, is based on the idea that human intelligence is largely derived from our motor abilities, and therefore to create artificial general intelligence, a robotic body that interacts with the physical environment is crucial.

Previously Pfeifer worked to this end via the humanoid robot ECCEROBOT,  that was also referred to as Cronos. 

Now Pfeifer and his team of of researchers, have stated the ambitious goal of building a new humanoid robot, Roboy, in a record nine months.

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Two modes: pseudo-AI and remote control. Relying on text-to-speech for voice synthesis.

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PELAGIOS stands for 'Pelagios: Enable Linked Ancient Geodata In Open Systems' - its aim is to help introduce Linked Open Data goodness into online resources that refer to places in the Ancient World. Why do we want to do that? Well, we think it will make all sorts of other things possible, including new modes of discovery and visualization for scholars and the general public. Pelagios also means 'of the sea', the superhighway of the ancient world - a metaphor we consider appropriate for a digital resource that will connect references to ancient places

Who are Pelagios?
Pelagios are a collective of projects connected by a shared vision of a world - most eloquently described in Tom Elliott’s article ‘Digital Geography and Classics’ - in which the geography of the past is every bit as interconnected, interactive and interesting as the present. Each project represents a different perspective on Antiquity, whether map, text or archaeological record, but as a group we believe passionately that the combination of all of our contributions is enormously more valuable than the sum of its parts. We are committed to open access and a pragmatic lightweight approach that encourages and enables others to join us in putting the Ancient World online. Pelagios is just the first step in a longer journey which will require many such initiatives, but we welcome anyone who shares our vision to join us in realising it.
Google Ancient Places (Open University, Southampton)
LUCERO (The Open University)
Pleiades (Institute for the Study of the Ancient World, NYU)
Perseus Digital Library (Tufts)
Arachne (Cologne)
SPQR (King's College, London)
Digital Memory Engineering (Austrian Institute of Technology)
Open Context (UC Berkeley)
CLAROS (Oxford)
PtolemyMachine (Holy Cross)
Ure Museum (Reading)
FastiOnline (AIAC)
Nomisma (ANS)
Regnum Francorum Online
The British Museum
Inscriptions of Israel/Palestine (Brown) (ISAW/NYU)
Ports Antiques
Oracc (U. Penn.)
Meketre (Vienna)
Pelagios has been funded by JISC as part of their jiscGEO and Resource Discovery programmes.

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Bumblebees foraging in flowers for nectar are like salesmen traveling between towns: Both seek the optimal route to minimize their travel costs. Mathematicians call this the "traveling salesman problem," in which scientists try to calculate the shortest possible route given a theoretical arrangement of cities. Bumblebees, however, take the brute-force approach: For them, it's simply a matter of experience, plus trial and error, scientists report in the current issue of PLoS Biology.

The study, the first to track the movements of bumblebees in the field, also suggests that bumblebees aren't using cognitive maps—mental recreations of their environments—as some scientists have suggested, but rather are learning and remembering the distances and directions that need to be flown to find their way from nest to field to home again.

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