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  2. Analyzing and modeling complex and big data | Professor Maria Fasli | TEDxUniversityofEssex
Analyzing and modeling complex and big data | Professor Maria Fasli | TEDxUniversityofEssex
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Analyzing and modeling complex and big data | Professor Maria Fasli | TEDxUniversityofEssex

This talk was given at a local TEDx event, produced independently of the TED Conferences. The amount of information that we are creating is increasing at an incredible speed. But how are we going to manage it? Professor Maria Fasli is based in the School of Computer Science and Electronic Engineering at the University of Essex. She obtained her BSc from the Department of Informatics of T.E.I. Thessaloniki (Greece). She received her PhD from the University of Essex in 2000 having worked under the supervision of Ray Turner in axiomatic systems for intelligent agents. She has previously worked in the area of data mining and machine learning. Her current research interests lie in agents and multi-agent systems and in particular formal theories for reasoning agents, group formation and social order as well as the applications of agent technology to e-commerce. About TEDx, x = independently organized event In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share a TED-like experience. At a TEDx event, TEDTalks video and live speakers combine to spark deep discussion and connection in a small group. These local, self-organized events are branded TEDx, where x = independently organized TED event. The TED Conference provides general guidance for the TEDx program, but individual TEDx events are self-organized.* (*Subject to certain rules and regulations)
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Transcript

English (auto-generated)Auto-generated
3203 words
17062 chars
17 min read
this is the display interface of the Apollo 11 computers this is the mission that took man to the moon now uh the Apollo 11 computers uh were used by the astronauts and they had to be especially trained so that they could enter commands using two digits and the first digit was the verb what was it to be performed and the second one was the noun what kind of data would be affected by by the verb now um if you contrast this uh interface and the Apollo 11 computers with uh with a modern smartphone like the iPhone 5 you're going to find some starking differences and the iPhone 5 is two 1,270 times faster than the Apollo 11 computers it has 2 million times more processing memory more storage U memory and it is also about 300 times lighter than the Apollo 11 computers now I hope you can appreciate how much computational power you are carrying with you when you're working about today but I will leave it up to you to decide whether your smartphone can actually take you to the Moon um and you are able to use one of these devices simply because of the uh acceleration in technologies that we have seen in the last few years and especially more slow applies and it suggests that nearly every two years the number of transistors on integrated circuits basically doubles so you can imagine why we have so uh much powerful machines we it is said that in the developed world we are spending about 11 hours processing information on a daily basis so whatever we do leaves a digital Trail when you walk around you with a when when when you walk around with a mobile phone then um we can track where you are with the GPS data when you go to your doctor you leave a digital record behind when you interact through Facebook and Twitter you generate content yourself and some of you may be generating content even as we as we speak when you purchase items on Amazon then we know that you like science fiction movies and when you go to the Super when I go to my Supermarket my Supermarket knows that I like...

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