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Inside Arcology, the City of the Future (Infographic) | #smartcities

Inside Arcology, the City of the Future (Infographic) | #smartcities | dataInnovation | Scoop.it

For over a century, writers and architects have imagined the cities of the future.

 In the late 1960s, architect Paolo Soleri envisioned “arcology” - a word that combines “architecture” and “ecology," with a goal of building structures to house large populations in self-contained environments with a self-sustaining economy and agriculture. “In the three-dimensional city, man defines a human ecology. In it he is a country dweller and metropolitan man in one. By it the inner and the outer are at ‘skin’ distance. He has made the city in his own image. Arcology: the city in the image of man.” (Paolo Soleri)


Via Lauren Moss, luiy
Fàtima Galan's insight:

Amazing and beautiful analysis!! Believe it or not, the science fiction also has something to teach us about the city of tomorrow.

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luiy's curator insight, July 8, 2013 7:42 AM
For over a century, writers and architects have imagined the cities of the future as giant structures that contain entire metropolises. To some, these buildings present the best means for cities to exist in harmony with nature, while others forsee grotesque monstrosities destructive to the human spirit. In the mid-20th century, engineer and futurist R. Buckminster Fuller imagined city-enclosing plastic domes and enormous housing projects resembling nuclear cooling towers. These ideas are impractical but they explore the limits of conventional architectural thinking.  Science fiction writers and artists often imagine future architecture that oppresses the human spirit. Megastructures such as the pyramid-like Tyrell Buildings of “Blade Runner” dominate a decrepit skyline. The decaying old city is simply covered with layers of newer, larger buildings in a process of “retrofitting.” Beginning in the late 1960s, architect Paolo Soleri envisioned a more humane approach. The word “arcology” is a combination of “architecture” and “ecology.” The goal is to build megastructures that would house a population of a million or more people, but in a self-contained environment with its own economy and agriculture. “In the three-dimensional city, man defines a human ecology. In it he is a country dweller and metropolitan man in one. By it the inner and the outer are at ‘skin’ distance. He has made the city in his own image. Arcology: the city in the image of man.” (Paolo Soleri) In 1996, a group of 75 Japanese corporations commissioned Soleri to design the one-kilometer-tall Hyper Bulding, a vertical city for 100,000 people. Existing in harmony with nature, the Hyper Building was designed to recycle waste, produce food in greenhouses, and use the sun’s light and heat for power and climate control.  The structure was designed for passive heating and cooling without the need for machinery. An economic recession put the brakes on the project and it was never built. Soleri’s arcology concept is being put to the test in the Arcosanti experimental community being built in Arizona. Construction began in 1970. When complete the town will house 5,000 people. Buildings are composed of locally produced concrete and are designed to capture sunlight and heat. To be built in the desert near Abu Dhabi, Masdar is a 2.3-square-mile (6 sq km) planned city of 40,000 residents. Buildings are designed to reduce reliance on artificial lighting and air conditioning, and the city will run entirely on solar power and renewable energy. Begun in 2006, the project is planned for completion around 2020-2025.
dataInnovation
Proficient in Information System Design used to the development of Business Intelligence Platforms and Semantic Web Ontologies. With experience in the benefits of the knowledge extraction by integrating LinkedData Technologies and OpenData Sources.
Curated by Fàtima Galan
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Google’s new artificial intelligence can’t understand these sentences. Can you?

Google’s new artificial intelligence can’t understand these sentences. Can you? | dataInnovation | Scoop.it
These sentences seem wrong, but they're actually right.
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The Internet of Things – An Interactive Primer | Information is Beautiful

The Internet of Things – An Interactive Primer | Information is Beautiful | dataInnovation | Scoop.it
Dedicated to distilling the world’s data, information and knowledge into beautiful, interesting and, above all, useful visualizations, infographics and diagrams.
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Rescooped by Fàtima Galan from News
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Google Home, el altavoz inteligente para el salón

Google Home, el altavoz inteligente para el salón | dataInnovation | Scoop.it
Google presenta su altavoz inteligente para trasladar lo que mejor saben hacer, la inteligencia artificial, al salón de las casas. 

Via Adele Robots
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Amazon’s Giving Away the AI Behind Its Product Recommendations

Amazon’s Giving Away the AI Behind Its Product Recommendations | dataInnovation | Scoop.it
Amazon has become the latest tech giant that's giving away some of its most sophisticated technology.
Fàtima Galan's insight:
“We are releasing DSSTNE as open source software so that the promise of deep learning can extend beyond speech and language understanding and object recognition to other areas such as search and recommendations,” the Q&A section of Amazon’s DSSTNE GitHub page reads. “We hope that researchers around the world can collaborate to improve it. But more importantly, we hope that it spurs innovation in many more areas.”
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Rescooped by Fàtima Galan from Influence et contagion
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Computer-based #personality judgments are more accurate than those made by humans | #social-cognitive

Computer-based #personality judgments are more accurate than those made by humans | #social-cognitive | dataInnovation | Scoop.it

This study compares the accuracy of personality judgment a ubiquitous and important social-cognitive activity between computer models and humans. Using several criteria, we show that computers judgments of people's personalities based on their digital footprints are more accurate and valid than judgments made by their close others or acquaintances (friends, family, spouse, colleagues, etc.). Our findings highlight that people’s personalities can be predicted automatically andwithout involving human social-cognitive skills.


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SORTING - Visualizing sorting #algorithms | #dataviz #datascience

SORTING - Visualizing sorting #algorithms | #dataviz #datascience | dataInnovation | Scoop.it
A visualization of the most famous Sorting Algorithms.

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luiy's curator insight, January 9, 1:26 PM
ABOUT SORTING

Sorting a sequence of items is one of the pillar of Computer Science. 


A sorting algorithm is an algorithm that organizes elements of a sequence in a certain order. Since the early days of computing, the sorting problem has been one of the main battlefields for researchers. The reason behind this is not only the need of solving a very common task but also the challenge of solving a complex problem in the most efficient way. 

SORTING is an attempt to visualize and help to understand how some of the most famous sorting algorithms work. This project provides two standpoints to look at algorithms, one is more artistic (apologies to any real artist out there), the other is more analytical aiming at explaining algorithm step by step. 

This project does not want to teach the theory of sorting algorithms, there are amazing resources, books and courses for this purpose. SORTING is for the ones who want to see these algorithms under a different ligth and hopefully appreciate the processing and brain power behind these piece of genius that in many ways have changed the way we live.

 
Rescooped by Fàtima Galan from Open Government (worldwide)
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Open Data: Casting a Digital Net to Catch the Corrupt

Open Data: Casting a Digital Net to Catch the Corrupt | dataInnovation | Scoop.it
By Martin Tisné, Investment Partner at Omidyar Network
Via Cátedra Libre Open Gov (CLOG)
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Introducing Linked Data And The Semantic Web

Introducing Linked Data And The Semantic Web | dataInnovation | Scoop.it
Introduction to the semantic web of linked data, its advantages and difference between Web 3.0 and Web 2.0

Via Irina Radchenko
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Introduction to Apache Spark with Examples and Use Cases | MapR

Introduction to Apache Spark with Examples and Use Cases | MapR | dataInnovation | Scoop.it
I first heard of Spark in late 2013 when I became interested in Scala, the language in which Spark is written. Some time later, I did a fun data science project trying to predict survival on the Titanic. This turned out to be a great way to get further introduced to Spark concepts and programming. I highly recommend it for any aspiring Spark developers looking for a place to get started.
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Unsupervised Deep Parsing

Unsupervised Deep Parsing | dataInnovation | Scoop.it
As I have written before, it is not always easy to understand the possibilities of current-day text analytics algorithms, much more can be done than we actually are aware of. Among some of the more
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Rescooped by Fàtima Galan from Future Trends and Advances In Education and Technology
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The 7 technologies changing your world

The 7 technologies changing your world | dataInnovation | Scoop.it
A post to help you navigate the technologies of the Fourth Industrial Revolution

Via Grant Montgomery
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10 text, sentiment, and social analytics trends for 2016

10 text, sentiment, and social analytics trends for 2016 | dataInnovation | Scoop.it
Text, sentiment, and social analytics help you tune in, at scale, to the voice of the customer, patient, public, and market. The technologies are currently being applied in an array of industries ranging from healthcare to finance, media, and consumer markets. They distill business insight from online, social, and enterprise data sources.
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Rescooped by Fàtima Galan from Open Government (worldwide)
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Turning open data into business innovation

OpenData can enable Innovation in the collaborative city and how it translates into an innovation opportunity for the private sector including startups. (Example ...


Via Cátedra Libre Open Gov (CLOG)
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Expert System gana el premio LT-Innovate 2016

Expert System gana el premio LT-Innovate 2016 | dataInnovation | Scoop.it
Expert System ha sido galardonada con el premio LT-Innovate 2016 a la mejor Tecnología Lingüística durante el encuentro anual de LT-Innovate.
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Google is making its assistant 'conversational' in two new ways

Google is making its assistant 'conversational' in two new ways | dataInnovation | Scoop.it
Google would like to remind you that you can talk with it.
Today Google is announcing a "Google Assistant" that essentially performs the same tasks as other Google interfaces do, but i
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Regression, Logistic Regression and Maximum Entropy part 2 (code + examples) – Ahmet Taspinar

Regression, Logistic Regression and Maximum Entropy part 2 (code + examples) – Ahmet Taspinar | dataInnovation | Scoop.it
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Rescooped by Fàtima Galan from Influence et contagion
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#Clustering #memes in social media streams | #algorithms #sna

#Clustering #memes in social media streams | #algorithms #sna | dataInnovation | Scoop.it

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luiy's curator insight, November 4, 2014 6:43 AM

The problem of clustering content in social media has pervasive applications, including the identification of discussion topics, event detection, and content recommendation. Here we describe a streaming framework for online detection and clustering of memes in social media, specifically Twitter.

 

A pre-clustering procedure, namely protomeme detection, first isolates atomic tokens of information carried by the tweets. Protomemes are thereafter aggregated, based on multiple similarity measures, to obtain memes as cohesive groups of tweets reflecting actual concepts or topics of discussion.

 

The clustering algorithm takes into account various dimensions of the data and metadata, including natural language, the social network, and the patterns of information diffusion. As a result, our system can build clusters of semantically, structurally, and topically related tweets.


The clustering process is based on a variant of Online K-means that incorporates a memory mechanism, used to "forget" old memes and replace them over time with the new ones. The evaluation of our framework is carried out by using a dataset of Twitter trending topics.


Over a one-week period, we systematically determined whether our algorithm was able to recover the trending hashtags. We show that the proposed method outperforms baseline algorithms that only use content features, as well as a state-of-the-art event detection method that assumes full knowledge of the underlying follower network. We finally show that our online learning framework is flexible, due to its independence of the adopted clustering algorithm, and best suited to work in a streaming scenario.

Rescooped by Fàtima Galan from Open Government (worldwide)
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Visualizing Government Archives through Linked Data

Visualizing Government Archives through Linked Data | dataInnovation | Scoop.it
Tonight I’m knocking back a gin and tonic to celebrate finishing a piece of software development for my client the Public Record Office Victoria; the archives of the government of the Austral…
Via Cátedra Libre Open Gov (CLOG)
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Meet Google's new search king

Meet Google's new search king | dataInnovation | Scoop.it
Meet John Giannandrea, an expert in artificial intellgience who's taking over as Google's new search chief.
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Taller Intensivo de Periodismo de Datos

Organizado por el Departamento de Ciencias de la Comunicación y Periodismo, se realizó en la UCA, un Taller intensivo sobre Periodismo de Datos, dictado por ...


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Introduction to Linked Data and the Semantic Web - University of Southampton

Introduction to Linked Data and the Semantic Web - University of Southampton | dataInnovation | Scoop.it
Learn the power of Linked Data, explore how it’s revolutionising the web and get to grips with it by writing queries in SPARQL.
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Pedro Domingos: "The Master Algorithm" | Talks at Google

Pedro Domingos: "The Master Algorithm" | Talks at Google | dataInnovation | Scoop.it
Machine learning is the automation of discovery, and it is responsible for making our smartphones work, helping Netflix suggest movies for us to watch, and g...
Fàtima Galan's insight:

"Where does knowledge come from?

Until very recently, it came from just three sources, number
1. evolution: encoded in your DNA
2. experience: encoded in your neurons
3. culture: the knowledge you acquire by talking with other people, reading books...
Now what's there's a fourth source of knowledge: computers.

"

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The Future of Artificial Intelligence is Here

The Future of Artificial Intelligence is Here | dataInnovation | Scoop.it
By: Abdul Razack, SVP & head of platforms, big data and analytics at Infosys
Artificial intelligence is rapidly changing the business and consumer land…
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Apache Spark vs. Apache Drill | MapR

Apache Spark vs. Apache Drill | MapR | dataInnovation | Scoop.it
If you’re thinking about working with big data, you might be wondering which tools you should use. If you are trying to enable SQL-on-Hadoop then you might be considering the use of Apache Spark or Apache Drill.
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