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Intel’s Data Economy Initiative Aims to Help People Capture the Value of Personal Data | MIT Technology Review

Intel’s Data Economy Initiative Aims to Help People Capture the Value of Personal Data | MIT Technology Review | Big Data | Scoop.it
The world’s largest chip maker wants to see a new kind of economy bloom around personal data.

Via Pierre Levy
Renato P. dos Santos's insight:

Intel lança iniciativa p/ q as pessoas se beneficiem financeiramente de seus dados. A maior parte dos app não funciona sem acesso aos dados pessoais de localização, etc. As empresas possuem nossos dados e aceitamos isso em troca do material grátis, personalizações e outras conveniências que obtemos em troca. Mas não há realmente (ainda?) uma "economia de dados", apenas lucro das empresas. Será que o Big Data vai acabar em nossas mãos individuais?

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luiy's curator insight, May 21, 2013 5:03 PM

Intel Labs, the company’s R&D arm, is launching an initiative around what it calls the “data economy”—how consumers might capture more of the value of their personal information, like digital records of their their location or work history. To make this possible, Intel is funding hackathons to urge developers to explore novel uses of personal data. It has also paid for a rebellious-sounding website called We the Data, featuring raised fists and stories comparing Facebook to Exxon Mobil.

 

Intel’s effort to stir a debate around “your data” is just one example of how some companies—and society more broadly—are grappling with a basic economic asymmetry of the big data age: they’ve got the data, and we don’t.

 

Internet firms like Google and Amazon are concentrating valuable data about consumers at an unprecedented scale as people click around the Web. But regulations and social standards haven’t kept up with the technical and economic shift, creating a widening gap between data haves and have-nots.

 

“As consumers, we have no right to know what companies know about us. As companies, we have few restrictions on what we can do with this data,” says Hilary Mason, chief data scientist at Bit.ly, a social-media company in New York. “Even though people derive value, and companies derive value, it’s totally chaotic who has rights to what, and it’s making people uncomfortable.”

Big Data
Big Date is about the emergence of new facts and unsuspected correlations as new, unexpected, non-obvious properties of a complex system that are distinct from the properties of its different parts.
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Big Data in the UK election: How did the polls get it so wrong

Big Data in the UK election: How did the polls get it so wrong | Big Data | Scoop.it

Big Data In The UK Election How did the polls get it so wrong?

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'Google Maps' for the body: A biomedical revolution down to a single cell

'Google Maps' for the body: A biomedical revolution down to a single cell | Big Data | Scoop.it
Scientists are using previously top-secret technology to zoom through the human body down to the level of a single cell. Scientists are also using cutting-edge microtome and MRI technology to examine how movement and weight bearing affects the movement of molecules within joints, exploring the relationship between blood, bone, lymphatics and muscle.

 

UNSW biomedical engineer Melissa Knothe Tate is using previously top-secret semiconductor technology to zoom through organs of the human body, down to the level of a single cell.

 

A world-first UNSW collaboration that uses previously top-secret technology to zoom through the human body down to the level of a single cell could be a game-changer for medicine, an international research conference in the United States has been told.

 

The imaging technology, developed by high-tech German optical and industrial measurement manufacturer Zeiss, was originally developed to scan silicon wafers for defects.

 

UNSW Professor Melissa Knothe Tate, the Paul Trainor Chair of Biomedical Engineering, is leading the project, which is using semiconductor technology to explore osteoporosis and osteoarthritis.

 

Using Google algorithms, Professor Knothe Tate -- an engineer and expert in cell biology and regenerative medicine -- is able to zoom in and out from the scale of the whole joint down to the cellular level "just as you would with Google Maps," reducing to "a matter of weeks analyses that once took 25 years to complete."

 

Her team is also using cutting-edge microtome and MRI technology to examine how movement and weight bearing affects the movement of molecules within joints, exploring the relationship between blood, bone, lymphatics and muscle. "For the first time we have the ability to go from the whole body down to how the cells are getting their nutrition and how this is all connected," said Professor Knothe Tate. "This could open the door to as yet unknown new therapies and preventions."

 

Professor Knothe Tate is the first to use the system in humans. She has forged a pioneering partnership with the US-based Cleveland Clinic, Brown and Stanford Universities, as well as Zeiss and Google to help crunch terabytes of data gathered from human hip studies. Similar research is underway at Harvard University and Heidelberg in Germany to map neural pathways and connections in the brains of mice.

 

The above story is based on materials provided by University of New South Wales.


Via Dr. Stefan Gruenwald
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CineversityTV's curator insight, March 30, 8:53 PM

What happens with the metadata? In the public domain? Or in the greed hands of the elite.

Courtney Jones's curator insight, April 2, 4:49 AM

,New advances in biomedical technology

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Microsoft buys Revolution Analytics: the end of its R free tools?

Microsoft buys Revolution Analytics: the end of its R free tools? | Big Data | Scoop.it
Microsoft today announced that it has acquired Revolution Analytics, an open-source analytics company with a strong focus on the highly popular R programming..
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IBM's Watson Discovery Advisor promises a new age of discovery for students

IBM's Watson Discovery Advisor promises a new age of discovery for students | Big Data | Scoop.it
IBM Watson Discovery Advisor accelerates your research and unlocks patterns in data so your organization can discover with precision.
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Innovators of artificial intelligence look to past for the 'old-fashioned' knowledge

Innovators of artificial intelligence look to past for the 'old-fashioned' knowledge | Big Data | Scoop.it
On the heels of his Allen Institute for Brain Science, the Microsoft co-founder launched the Allen Institute for Artificial Intelligence in an effort to advance the field while reaching back to its past.
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Big Data & Iodine help you to find the best cold and flu medicine for you

Big Data & Iodine help you to find the best cold and flu medicine for you | Big Data | Scoop.it
What you don't know about cold, cough, and flu medicines -- and how Iodine is making cold and flu season a little easier.
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Google is funding Automatic Statistician, “an artificial intelligence for data science”

Google is funding Automatic Statistician, “an artificial intelligence for data science” | Big Data | Scoop.it
Google announced on Tuesday that it is funding a project, called Automatic Statistician, that bills itself as “an artificial intelligence for data science.”

Via Scott Hedrick
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Does Big Data need a 'LinkedIn for analytics'?

Does Big Data need a 'LinkedIn for analytics'? | Big Data | Scoop.it
A social media approach to analytics could help enterprises get more value from their big data systems, says Teradata exec.
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What happens when we let industry and government collect all the data they want.

What happens when we let industry and government collect all the data they want. | Big Data | Scoop.it
In the fall of 1769, Thomas Jefferson lost a slave. His name was Sandy, and he was a runaway. Sandy was “about 35 years of age.” He worked as a shoemaker.
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Google mines Gmail for Big Data gold

Google mines Gmail for Big Data gold | Big Data | Scoop.it
Google’s new Inbox app isn’t your father’s Gmail

Via Rob Kitchin
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The 10 most profitable industries according to Big Data

The 10 most profitable industries according to Big Data | Big Data | Scoop.it
Forget what you may have previously heard about the most profitable industries, because big data analytics has a new answer.
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AI breaking ground: building a natural description of images

AI breaking ground: building a natural description of images | Big Data | Scoop.it

People can summarize a complex scene in a few words without thinking twice. It’s much more difficult for computers. But we’ve just gotten a bit closer -- we’ve developed a machine-learning system that can automatically produce captions (like the three above) to accurately describe images the first time it sees them. This kind of system could eventually help visually impaired people understand pictures, provide alternate text for images in parts of the world where mobile connections are slow, and make it easier for everyone to search on Google for images.

Recent research has greatly improved object detection, classification, and labeling. But accurately describing a complex scene requires a deeper representation of what’s going on in the scene, capturing how the various objects relate to one another and translating it all into natural-sounding language.

 

Many efforts to construct computer-generated natural descriptions of images propose combining current state-of-the-art techniques in both computer vision and natural language processing to form a complete image description approach. But what if we instead merged recent computer vision and language models into a single jointly trained system, taking an image and directly producing a human readable sequence of words to describe it?

This idea comes from recent advances in machine translation between languages, where a Recurrent Neural Network (RNN) transforms, say, a French sentence into a vector representation, and a second RNN uses that vector representation to generate a target sentence in German.

Now, what if we replaced that first RNN and its input words with a deep Convolutional Neural Network (CNN) trained to classify objects in images? Normally, the CNN’s last layer is used in a final Softmax among known classes of objects, assigning a probability that each object might be in the image. But if we remove that final layer, we can instead feed the CNN’s rich encoding of the image into a RNN designed to produce phrases. We can then train the whole system directly on images and their captions, so it maximizes the likelihood that descriptions it produces best match the training descriptions for each image.


Via Dr. Stefan Gruenwald
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Natural Language Careers's curator insight, November 19, 2014 8:53 AM

Google making progress towards automatic captioning.  Cool stuff.

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10 Hidden Gems In Google Analytics: Smart Web Data Analysis

10 Hidden Gems In Google Analytics: Smart Web Data Analysis | Big Data | Scoop.it

Discover the gems in 80% of Google Analytics that you are not using, features that will transform your ability to identify high-impact insights and actions.


Via Pedro Da Silva
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Gaming apps can provide big data for researchers

Gaming apps can provide big data for researchers | Big Data | Scoop.it
Gaming apps can provide big data for researchers - Smartphone-game-apps Washington, Dec 25 :Mobile-based games that are actually tests of cognition or other brain functions can offer researchers an exciting
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Journals should publish all “null” results and should sparingly publish “positive” results

With small effects and trillions of possible, mostly false, hypotheses, the chance that any team comes across nine “positive” and no “null” findings approaches 0%.

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Why Amazon's ratings might mislead you: The story of herding effects

Why Amazon's ratings might mislead you: The story of herding effects | Big Data | Scoop.it

Our society is increasingly relying on digitalized, aggregated opinions of individuals to make decisions (e.g., product recommendation based on collective ratings). One key requirement of harnessing this “wisdom of crowd” is the independency of individuals' opinions; yet, in real settings, collective opinions are rarely simple aggregations of independent minds. Recent experimental studies document that disclosing prior collective ratings distorts individuals' decision making as well as their perceptions of quality and value, highlighting a fundamental discrepancy between our perceived values from collective ratings and products' intrinsic values.

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Big Data lets pharmaceutical companies know what drugs you might need before you do

Big Data lets pharmaceutical companies know what drugs you might need before you do | Big Data | Scoop.it
The "matchbacks" process involves codes being assigned to patients based on the prescription drug records in order to tailor marketing to individuals.
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Data science without statistics is possible, even desirable

Data science without statistics is possible, even desirable | Big Data | Scoop.it
The purpose of this article is to clarify a few misconceptions about data and statistical science.
I will start with a controversial statement: data science ba…
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The Thanksgiving recipes googled in every state

The Thanksgiving recipes googled in every state | Big Data | Scoop.it
Which foods are unusually popular in each state on Thanksgiving.
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The next step in IoT: from wearables to … invisibles

The next step in IoT: from wearables to … invisibles | Big Data | Scoop.it
While we argue over 2014-era design issues for wearables, a more profound development is happening in labs around the world. Implantable, microscopic sensor technology -- "invisibles" -- will soon ...

Via Tictrac
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Richard Platt's curator insight, November 20, 2014 2:51 AM

A more profound development is happening in labs around the world. Implantable, microscopic sensor technology will soon change our fundamental relationship with technology. Advancing sensor technology has already started to create an entirely new market: invisibles.  We are living in the wearable era. Wearables bring technology and information into users’ consciousness. But they don’t rely on ambient intelligence, they’re not yet integrated into our environments, and they address micro information rather than the bigger picture of our health. They are a necessary step in the evolution of body computing, but a bigger step is about to overshadow wearables, comparable to the impact of the smartphone on a regular cell phone.  Wearables can be put on or taken off, which takes away the type of continuous monitoring that creates intelligent and actionable data. The current state of wearables is an important step toward something better and bigger.

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academia-based people make good data scientists, but they don’t have the business connections to transition

academia-based people make good data scientists, but they don’t have the business connections to transition | Big Data | Scoop.it

"mathematicians, statisticians, astronomers, and other academia-based people make good data scientists,” Kirkpatrick says. “But there’s still a disconnect because people in academia don’t usually have the business connections or domain knowledge to transition, nor do they know how to market themselves.”

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"Geek" or "Nerd"? Big Data answer the question.

"Geek" or "Nerd"? Big Data answer the question. | Big Data | Scoop.it
To many people, "geek" and "nerd" are synonyms, but in fact they are a little different. Consider the phrase "sports geek" — an occasional substitute for "jock" and perhaps the arch-rival of a "ner...
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Tweet now index every public tweet since 2006

Tweet now index every public tweet since 2006 | Big Data | Scoop.it
Today, we are pleased to announce that Twitter now indexes every public Tweet since 2006. Since that first simple Tweet over eight years ago, hundreds of billions of Tweets have captured everyday h...
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