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Artificial Intelligence: How Algorithms Make Systems Smart | Innovation Insights | WIRED

Artificial Intelligence: How Algorithms Make Systems Smart | Innovation Insights | WIRED | Science, Technology, and Current Futurism | Scoop.it
“Algorithm” is a word that one hears used much more frequently than in the past. One of the reasons is that scientists have learned that computers can learn on their own if given a few simple instructions. That’s really all that algorithms are mathematical instructions. Wikipedia states that an algorithm “is a step-by-step procedure for…
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“Part of the problem,” writes Catherine Havasi (@havasi), CEO and co-founder of Luminoso, “Is that when we humans communicate, we rely on a vast background of unspoken assumptions. … We assume everyone we meet shares this knowledge. It forms the basis of how we interact and allows us to communicate quickly, efficiently, and with deep meaning.” ["Who's Doing Common-Sense Reasoning And Why It Matters," TechCrunch, 9 August 2014] She adds, “As advanced as technology is today, its main shortcoming as it becomes a large part of daily life in society is that it does not share these assumptions.”

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Shor's algorithm - Wikipedia, the free encyclopedia

Shor's algorithm - Wikipedia, the free encyclopedia | Science, Technology, and Current Futurism | Scoop.it
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Researchers Develop New Method for Understanding Network Connections | CSAIL

Researchers Develop New Method for Understanding Network Connections | CSAIL | Science, Technology, and Current Futurism | Scoop.it
In a new paper appearing in the August edition of Nature Biotechnology, Kellis and colleagues from the MIT Computer Science and Artificial Intelligence Lab (CSAIL), the MIT Research Laboratory of Electronics (RLE), and the Broad Institute, describe a new algorithm that can infer direct dependencies in a network. 
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New Technology Helping Schools Achieve Individually Tailored Education

New Technology Helping Schools Achieve Individually Tailored Education | Science, Technology, and Current Futurism | Scoop.it
Parents and students today are excited by the prospect of getting tablets to replace textbooks and notepads. But the focus on the devices is a little like getting excited about the glossiness of the paper in a history book rather than the content.
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from the article: "Computers are a long way from replacing teachers in instructing students. In the best cases, they provide individual tutoring in the basics. Then teachers can engage the entire class to collaborate in discussing and understanding higher level concepts.  The “flipped classroom” model allows students to access lectures and content at home, and the valuable classroom time to be spent on problem solving in individual or group work, with teachers providing coaching and support.   Students not only learn the basics better, but they learn skills like team work, collaboration, and problem solving that are needed for 21st Century careers."

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Teachers should help kids enjoy science, maths - The Nation

Teachers should help kids enjoy science, maths - The Nation | Science, Technology, and Current Futurism | Scoop.it
The Malaysian Insider Teachers should help kids enjoy science, maths The Nation The results of an international survey on children's performance in mathematics and science are cause for concern for Japan, as the nation aims to develop human...
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Cloning quantum information from the past | KurzweilAI

Cloning quantum information from the past | KurzweilAI | Science, Technology, and Current Futurism | Scoop.it

Abstract of Physical Review Letters paper

We show that it is possible to clone quantum states to arbitrary accuracy in the presence of a Deutschian closed timelike curve (D-CTC), with a fidelity converging to one in the limit as the dimension of the CTC system becomes large—thus resolving an open conjecture [Brun et al., Phys. Rev. Lett. 102, 210402 (2009)]. This result follows from a D-CTC-assisted scheme for producing perfect clones of a quantum state prepared in a known eigenbasis, and the fact that one can reconstruct an approximation of a quantum state from empirical estimates of the probabilities of an informationally complete measurement. Our results imply more generally that every continuous, but otherwise arbitrarily nonlinear map from states to states, can be implemented to arbitrary accuracy with D-CTCs. Furthermore, our results show that Deutsch’s model for closed timelike curves is in fact a classical model, in the sense that two arbitrary, distinct density operators are perfectly distinguishable (in the limit of a large closed timelike curve system); hence, in this model quantum mechanics becomes a classical theory in which each density operator is a distinct point in a classical phase space.

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Hilbert's problems - Wikipedia, the free encyclopedia

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Anthony Goldbloom | Innovators Under 35 | MIT Technology Review

Anthony Goldbloom | Innovators Under 35 | MIT Technology Review | Science, Technology, and Current Futurism | Scoop.it
A startup called Kaggle tries to bring smart people to knotty problems.

 

Goldbloom created "a website where data scientists could compete to win cash in their spare time by solving such problems for companies. He didn’t know much about programming, so he taught himself to code and built the website in his bedroom in Melbourne, Australia.

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Another use of competition and networking to find solutions.

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Understanding the Holidays, Through Science - The Atlantic Wire

Understanding the Holidays, Through Science - The Atlantic Wire | Science, Technology, and Current Futurism | Scoop.it
The Atlantic Wire Understanding the Holidays, Through Science The Atlantic Wire Discovered: the new secret of mistletoe; it's actually the lack of thought that counts; why holiday shoppers are so rude; miracle at Christmas market.
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Mathematical model explains how complex societies emerge, collapse

Mathematical model explains how complex societies emerge, collapse | Science, Technology, and Current Futurism | Scoop.it

The instability of large, complex societies is a predictable phenomenon, according to a new mathematical model that explores the emergence of early human societies via warfare. Capturing hundreds of years of human history, the model reveals the dynamical nature of societies, which can be difficult to uncover in archaeological data.


Via Sakis Koukouvis
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