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"The necessary feature of the open systems and networks that Doctorow advocates is that they must preserve the possibility of evil. The systematic exclusion of evil breaks the open (unit operational) nature of the system. From a political perspective, you won’t score too many points campaigning for the preservation of the possibility of evil. The most successful argument of this kind is the theological argument around why God has given humans free will. Being good without choosing good means that goodness isn’t a virtue. The possibility of choosing evil makes the choice of good meaningful. Pre-deleting evil processes from the operating environment pre-empts the possibility of choosing to run good processes and the act of terminating the evil ones."
"Computational data analysis is an essential part of modern statistics. Competent statisticians must not just be able to run existing programs, but to understand the principles on which they work. They must also be able to read, modify and write code, so that they can assemble the computational tools needed to solve their data-analysis problems, rather than distorting problems to fit tools provided by others. This class is an introduction to programming, targeted at statistics majors with minimal programming knowledge, which will give them the skills to grasp how statistical software works, tweak it to suit their needs, recombine existing pieces of code, and when needed create their own programs.
Students will learn the core of ideas of programming — functions, objects, data structures, flow control, input and output, debugging, logical design and abstraction — through writing code to assist in numerical and graphical statistical analyses. Students will in particular learn how to write maintainable code, and to test code for correctness. They will then learn how to set up stochastic simulations, how to parallelize data analyses, how to employ numerical optimization algorithms and diagnose their limitations, and how to work with and filter large data sets. Since code is also an important form of communication among scientists, students will learn how to comment and organize code. "
It is well known that people movement exhibits a high degree of repetition since people visit regular places and make regular contacts for their daily activities. This paper1 presents a novel framework named Jyotish,2 which constructs a predictive model by exploiting the regularity of people movement found in the real joint Wifi/Bluetooth trace. The constructed model is able to answer three fundamental questions: (1) where the person will stay, (2) how long she will stay at the location, and (3) who she will meet.
In order to construct the predictive model, Jyotish includes an efficient clustering algorithm to cluster Wifi access point information in the Wifi trace into locations. Then, we construct a Naive Bayesian classifier to assign these locations to records in the Bluetooth trace and obtain a fine granularity of people movement. Next, the fine grain movement trace is used to construct the predictive model including location predictor, stay duration predictor, and contact predictor to provide answers for three questions above. Finally, we evaluate the constructed predictive model over the real Wifi/Bluetooth trace collected by 50 participants in University of Illinois campus from March to August 2010. Evaluation results show that Jyotish successfully constructs a predictive model, which provides a considerably high prediction accuracy of people movement.
The more I think about it, the more I think the cloud may portend the rise of a new kind of experience: parental computing. It will mean the end of personal computing, which itself evolved out of the vastly different computing paradigm that preceded it.
"I’ve posted to YouTube a series of 22 short videos giving an introduction to quantum computing. Here’s the first video:
Below I list the remaining 21 videos, which cover subjects including the basic model of quantum computing, entanglement, superdense coding, and quantum teleportation.
To work through the videos you need to be comfortable with basic linear algebra, and with assimilating new mathematical terminology. If you’re not, working through the videos will be arduous at best! Apart from that background, the main prerequisite is determination, and the willingness to work more than once over material you don’t fully understand."
"The text covers the basic building blocks of quantum information processing, quantum bits and quantum gates, showing their relationship to the key quantum concepts of quantum measurement, quantum state transformation, and entanglement between quantum subsystems; it treats quantum algorithms, discussing notions of complexity and describing a number of simple algorithms as well as the most significant algorithms to date; and it explores entanglement and robust quantum computation, investigating such topics as quantifying entanglement, decoherence, quantum error correction, and fault tolerance."
Alex Soojung-Kim Pang is a futurist of science and technology. He is currently a Visiting Researcher in the Socio-Digital Systems Group at Microsoft Research, Cambridge.
A consortium of humanists, artists, social scientists, scientists, and engineers committed to new forms of collaboration across communities and disciplines fostered by creative uses of technology.
There's something you won't see mentioned by too many advocates of cloud computing – the main attraction is making money from you
Cloud computing fails because it centralizes instead of creating resilience.
Focusing on software development will lead to failure and won't entice old-guard scholars to join the project. So focus on grad students and new faculty.
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I think there’s a counter to this phenomenon… but Project Bamboo won’t like it. I think the counter is to forget about the Old Guard altogether; they’re a lost cause. Instead, focus on the third-wayers and the graduate students.
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RvK: This reflects my fear (I always see the dystopias; that’s what I do!) that despite the Internet, despite mobile phones, GPS, etc. …despite all these connectivities… people still have no repository of actions for making sense of what is behind the technology. All the kings before me did not have the tools I have now. All the philosophers before could not do what I do now. So people think they have all this connectivity, but they have no clue about the infrastructure that’s feeding the technology. And this infrastructure is saying: “Outsource all your interfacing to me! I’ll take care of it.” The result is that people cannot fix their own cars. No one cares about it, because everyone assumes the economy will just keep functioning the way it does. But even at a practical level, with 130 euros for a barrel of oil, and going up, it’s going to be very difficult to uphold this Ambient Intelligence dream. So we have this kind of citizens, who feel themselves kings, but have no clue about infrastructures anymore, and who’ve given up lots of solidarity moments also, because the Nation State is an empty shell… So what we need to do is script new solidarities with these new technologies, and not all this fear, and all this control. This is a major challenge.
My immediate intention in presenting these is to suggest a list of functions (recursive functions) that could be the basis for a manageable but also useful tool-building enterprise in humanities computing. My list of primitives is in no particular order—in fact, the two that seem to me to be the true primitives here are “referring” and “representing” since each of these is in some way involved in all the others.
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Discovering
Annotating
Comparing
Referring
Sampling
Illustrating
Representing
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