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Google invents smart contact lens with built-in camera: Superhuman Terminator-like vision here we come

Google invents smart contact lens with built-in camera: Superhuman Terminator-like vision here we come | evolution numérique | Scoop.it
Google has invented a new smart contact lens with an integrated camera. By virtue of being part of the contact lens, the camera would naturally follow your gaze, allowing for a huge range of awesome applications, from the basis of a bionic eye system for blind and visually impaired people, through to early warning systems (the camera spots a hazard before your brain does), facial recognition, and superhuman powers (telescopic and infrared/night vision). In related news, Google Glass is publicly available today in the US for one day only (still priced at $1500).

Via Paulo Furtado
Lucile Debethune's insight:

Vous pensiez que Minority report était de la science fiction ? allez faire un tour sur les démos de P. Mistry ou J. Underkoffler pour la visualisation ou sur un article que j'ai fait passer ici sur les technologies "mood-sensitive" (Edit : ici en fait :/http://www.scoop.it/t/robot-cerveau). Vous pensez que Terminator n'arriverais jamais? c'est peut être pour demain, en tout cas pour la vision (les recherches sont conduites depuis longtemps http://iopscience.iop.org/0960-1317/21/12/125014) mais Google pourrait le commercialiser demain...)

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evolution numérique
comment les nouvelles technologies nous font changer
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Should we redesign humans?

Should we redesign humans? | evolution numérique | Scoop.it

Je parlais The age of bioengineering is upon us, with scientists' understanding of how to engineer cells, tissues and organs improving at a rapid pace. Here, how this could affect the future of our physical bodies.

Lucile Debethune's insight:

Je parlais de bioingénierie, je me suis dit que des exemples pourraient aider... voici quelques impressionantes démonstration de quelques avancées dans ce domaine 

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Meet the algorithm that can learn "everything about anything"

Meet the algorithm that can learn "everything about anything" | evolution numérique | Scoop.it

Learn EVerything about ANything was created by a group of researchers out of the Allen Institute for Artificial Intelligence and the University of Washington. One of them, Carlos Guestrin, is also co-founder and CEO of a data science startup called GraphLab. What’s really interesting about LEVAN is that it’s neither human-supervised nor unsupervised (like many deep learning systems), but what its creators call “webly supervised.” (...) LEVAN uses the web to learn everything it needs to know. It scours Google Books Ngrams to learn common phrases associated with a particular concept, then searches for those phrases in web image repositories such as Google Images, Bing and Flickr. More impressive still is that because LEVAN uses text and image references to teach itself concepts, it’s also able to learn when words or phrases mean the same thing.
So far, LEVAN has modeled 150 different concepts and more than 50,000 sub-concepts, and has annotated more than 10 million images with information about what’s in them and what’s happening in them.

 

 


Via cyberlabe
Lucile Debethune's insight:

la modelisation automatique de concept est une des pistes pour l'amélioration des intélligneces artificielles. L'initiative LEVAN est très intéressante à ce sujet.

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Amber Case: We are all cyborgs now

Technology is evolving us, says Amber Case, as we become a screen-staring, button-clicking new version of homo sapiens. We now rely on "external brains" (cell phones and computers) to communicate, remember, even live out secondary lives.


Via axelletess
Lucile Debethune's insight:

Les smartphone sont ils une extension de notre cerveau ou une partie de notre être étendu ? Sommes nous déjà des Cyborg ? 

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Jane Franken's curator insight, March 21, 2013 7:42 AM

This talk takes an anthropological view of humans and technology which lends context to and directly supports ideas specific to the future of software development.  Case describes the way emerging technology is freely traversing the barrier between physical and mental, the implications of which will surely impact heavily on software development.

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Google invents smart contact lens with built-in camera: Superhuman Terminator-like vision here we come

Google invents smart contact lens with built-in camera: Superhuman Terminator-like vision here we come | evolution numérique | Scoop.it
Google has invented a new smart contact lens with an integrated camera. By virtue of being part of the contact lens, the camera would naturally follow your gaze, allowing for a huge range of awesome applications, from the basis of a bionic eye system for blind and visually impaired people, through to early warning systems (the camera spots a hazard before your brain does), facial recognition, and superhuman powers (telescopic and infrared/night vision). In related news, Google Glass is publicly available today in the US for one day only (still priced at $1500).

Via Paulo Furtado
Lucile Debethune's insight:

Vous pensiez que Minority report était de la science fiction ? allez faire un tour sur les démos de P. Mistry ou J. Underkoffler pour la visualisation ou sur un article que j'ai fait passer ici sur les technologies "mood-sensitive" (Edit : ici en fait :/http://www.scoop.it/t/robot-cerveau). Vous pensez que Terminator n'arriverais jamais? c'est peut être pour demain, en tout cas pour la vision (les recherches sont conduites depuis longtemps http://iopscience.iop.org/0960-1317/21/12/125014) mais Google pourrait le commercialiser demain...)

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Découvrez à quoi ressemble le cerveau humain dans cette ... - Atlantico.fr

Découvrez à quoi ressemble le cerveau humain dans cette ... - Atlantico.fr | evolution numérique | Scoop.it
Daily Geek Show
Découvrez à quoi ressemble le cerveau humain dans cette ...
Atlantico.fr
Les chercheurs de l'université de San Diego (Californie) ont récemment mis en ligne une vidéo représentant avec fidélité l'activité du cerveau humain.
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The internet of everything--annihilating time and space

The internet of everything--annihilating time and space | evolution numérique | Scoop.it

In the future of the internet of things, Wi-Fi is going to be everywhere, and the internet will connect you to every person and thing on the planet via transportation, teleportation and telepresence. A trillion wormholes will let you reach out from anywhere on earth and hug your loved ones, or try on a new pair of shoes, or unlock your bike.

 

In the future beyond the internet of things, all your senses will be wired directly into the internet’s wormholes, and you’ll be completely indifferent to the location of your physical body. When you look around you, you won’t be looking into a nearby region of space. You’ll be surfing an internet that annihilates all time and space – the internet of everything.


Via Szabolcs Kósa
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Mlik Sahib's curator insight, December 2, 2013 1:46 AM

"Did you know you have two wireless modems in your head? Your eyes constantly receive radio signals in the visible spectrum, and your sense of vision connects your brain to nearby physical things, like a de facto Local Area Network. But your sensory LAN connection only extends as far as your line of sight. It’s nothing compared to a Wi-Fi internet connection.

In the future of the internet of things, Wi-Fi is going to be everywhere, and the internet will connect you to every person and thing on the planet via transportation, teleportation and telepresence. A trillion wormholes will let you reach out from anywhere on earth and hug your loved ones, or try on a new pair of shoes, or unlock your bike.

In the future beyond the internet of things, all your senses will be wired directly into the internet’s wormholes, and you’ll be completely indifferent to the location of your physical body. When you look around you, you won’t be looking into a nearby region of space. You’ll be surfing an internet that annihilates all time and space – the internet of everything."

Saranne Davies's curator insight, December 3, 2013 4:09 AM

An interesting thought.

Nacho Vega's curator insight, December 3, 2013 4:29 PM

Interesting #concept...

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Frogs for wireless networks

Frogs for wireless networks | evolution numérique | Scoop.it

Males of the Japanese tree frog have learnt not to use their calls at the same time so that the females can distinguish between them. Scientists at the Polytechnic University of Catalonia have used this form of calling behaviour to create an algorithm that assigns colours to network nodes – an operation that can be applied to developing efficient wireless networks.


Via David Sánchez
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Hidden Smiles and the Desire of a Conscious Machine

Hidden Smiles and the Desire of a Conscious Machine | evolution numérique | Scoop.it

If a computer can predict that someone was feeling frustrated correctly while another human gets it wrong then surely the computer is in some way better at understanding the frustration of the subject?


Via Sakis Koukouvis
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Artificial Intelligence Versus Collective Intelligence

Artificial Intelligence Versus Collective Intelligence | evolution numérique | Scoop.it

A short slideshow about the difference between artificial and augmented intelligence and the "glacial pace of AI" compared to the web. Also to consider: AI + CI (Google's PageRank, for example) -- Howard

 

 


Via Howard Rheingold
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Rescooped by Lucile Debethune from Tracking the Future
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The Strange Neuroscience of Immortality

The Strange Neuroscience of Immortality | evolution numérique | Scoop.it

In the basement of the Northwest Science Building here at Harvard University, a locked door is marked with a pink and yellow sign: "Caution: Radioactive Material." Inside researchers buzz around wearing dour expressions and plastic gloves. Among them is Kenneth Hayworth. He's tall and gaunt, dressed in dark-blue jeans, a blue polo shirt, and gray running shoes. He looks like someone who sleeps little and eats less.

Hayworth has spent much of the past few years in a windowless room carving brains into very thin slices. He is by all accounts a curious man, known for casually saying things like, "The human race is on a beeline to mind uploading: We will preserve a brain, slice it up, simulate it on a computer, and hook it up to a robot body." He wants that brain to be his brain. He wants his 100 billion neurons and more than 100 trillion synapses to be encased in a block of transparent, amber-colored resin—before he dies of natural causes.

Why? Ken Hayworth believes that he can live forever.

But first he has to die.


Via Szabolcs Kósa
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Seth Lloyd on Programming the Universe

Seth Llyod is a Professor in the Department of Mechanical Engineering at the Massachusetts Institute of Technology (MIT). His talk, "Programming the Universe", is about the computational power of atoms, electrons, and elementary particles.


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Collective Intelligence in Neural Networks and Social Networks

Collective Intelligence in Neural Networks and Social Networks | evolution numérique | Scoop.it

"Context for this post: I’m currently working on a social network application that demonstrates the value of connection strength and context for making networks more useful and intelligent. Connection strength and context are currently only rudimentarily and mushily implemented in social network apps. This post describes some of the underlying theory for why connection strength and context are key to next generation social network applications."


Via Howard Rheingold, Jim Lerman, Julien Duprat
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James Stavridis, Commandant Suprême de l'OTAN "Les murs ne fonctionnent pas. Il faut construire des ponts"

James Stavridis, Commandant Suprême de l'OTAN "Les murs ne fonctionnent pas. Il faut construire des ponts" | evolution numérique | Scoop.it

L'amiral James Stavridis est le Commandant Suprême de l'OTAN. Il est le partisan de ce qu'il appelle la sécurité open-source. Son approche de la sécurité au 21e siècle est très différente de la façon dont on a pu aborder la sécurité auparavant.

En portant un regard sur les modes de sécurité d'un passé proche, il montre une image de Verdun, un champ de bataille en France pendant la Première Guerre Mondiale, où pendant 300 jours, 700 000 personnes ont été tuées – environ 2 000 personnes par jour. Plus tard, pendant la Seconde Guerre Mondiale, à la bataille de Stalingrad, 2 millions de personnes ont été tuées sur 300 jours. On continuait à construire des murs : la ligne Maginot, le mur de Berlin, le rideau de fer. Mais « les murs ne fonctionnent pas ».

Stavridis pense que nous avons besoin d'un modèle différent : « Au lieu de construire des murs pour assurer la sécurité, nous devrions construire des ponts ». Il montre une photo la rivière Drina, qui constitue la frontière entre la Bosnie, l'Herzégovine, et la Serbie. C'est un symbole de la façon dont nous devons avancer pour créer des liens ainsi qu'une image forte de son modèle radical. « La sécurité open-source consiste à relier tout ce qui est international, inter-agence, le privé, et le public – et rattachant tout cela à une communication stratégique entre réseaux sociaux. » [...]


Via Nessy du Loch, Julien Duprat
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How Nanotechnology Could Reengineer Us

How Nanotechnology Could Reengineer Us | evolution numérique | Scoop.it

Via Paulo Furtado
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Brain Implants: The Laser Eye Surgery of the Future?

Brain Implants: The Laser Eye Surgery of the Future? | evolution numérique | Scoop.it

Brain implants today are where laser eye surgery was several decades ago, fraught with risk, applicable only to a narrowly defined set of patients – but a sign of things to come. 


Via Szabolcs Kósa
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aanve's curator insight, March 20, 3:34 AM
www.aanve.com
zwilenkosi's curator insight, March 25, 2:41 PM

new brain implants that could revive your memory and makes you to learn things fast.

 

Rescooped by Lucile Debethune from Amazing Science
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Stem-Cell Therapy for Blindness Is Moving Towards Clinical Trials

Stem-Cell Therapy for Blindness Is Moving Towards Clinical Trials | evolution numérique | Scoop.it
Advanced Cell Technology is testing a stem-cell treatment for blindness that could preserve vision and potentially reverse vision loss.

 

A new treatment for macular degeneration is close to the next stage of human testing—a noteworthy event not just for the millions of patients it could help, but for its potential to become the first therapy based on embryonic stem cells.

 

This year, the Boston-area company Advanced Cell Technology plans to move its stem-cell treatment for two forms of vision loss into advanced human trials. The company has already reported that the treatment is safe (see “Eye Study Is a Small but Crucial Advance for Stem-Cell Therapy”), although a full report of the results from the early, safety-focused testing has yet to be published. The planned trials will test whether it is effective. The treatment will be tested both on patients with Stargardt’s disease (an inherited form of progressive vision loss that can affect children) and on those with age-related macular degeneration, the leading cause of vision loss among people 65 and older.

 

Although complete data from the trials of ACT’s treatments have yet to be published, the company has reported impressive results with one patient, who recovered vision after being deemed legally blind. Now the company plans to publish the data from two clinical trials taking place in the U.S. and the E.U. in a peer-reviewed academic journal. Each of these early-stage trials includes 12 patients affected by either macular degeneration or Stargardt’s disease.

 

The more advanced trials will have dozens of participants, says ACT’s head of clinical development, Eddy Anglade. If proved safe and effective, the cellular therapy could preserve the vision of millions affected by age-related macular degeneration. By 2020, as the population ages, nearly 200 million people worldwide will have the disease, estimate researchers. Currently, there are no treatments available for the most common form, dry age-related macular degeneration.


Via Dr. Stefan Gruenwald
Lucile Debethune's insight:

Je m'éloigne un peu des sujets de cybernétique mais pas si loin, car la bioingénierie est aussi un moyen technologique de modifier l'humain. Les cellules souches sont reprogrammes depuis quelques années, et on peut asssister à des sauts technologiques de plus en plus important, notamment avec l'utilisation de technologies comme les imprimantes 3D pour recréer des organes, gerer les relation avec des prothèses bioméchaniques, etc... 

Aun iveau de la vision plusieurs grands axes émergent, soit avec un "remède" comme ici (surtout face à la dégénration cellulaire due à certaines maladie ou à la vieillesse), soit avec des prothèses de plus en plus miniaturisées et reliées au cerveau. 

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How does my brain work?

How does my brain work? | evolution numérique | Scoop.it
How exactly does the brain -- a 3-pound snarl of nervous tissue -- create inspired inventions, the feeling of hunger, the experience of beauty, the sense of self? Researchers at the edge of science explain …
Lucile Debethune's insight:

Une video TED qui permet d'en savoir plus sur le cerveau

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AIXI: To create a super-intelligent machine, start with an equation

AIXI: To create a super-intelligent machine, start with an equation | evolution numérique | Scoop.it
Intelligence is a very difficult concept and, until recently, no one has succeeded in giving it a satisfactory formal definition.

 

Most researchers have given up grappling with the notion of intelligence in full generality, and instead focus on related but more limited concepts – but Marcus Hutter argues that mathematically defining intelligence is not only possible, but crucial to understanding and developing super-intelligent machines. From this, his research group has even successfully developed software that can learn to play computer games from scratch.

 

But first, how do we define "intelligence"? Hutter's group has sifted through the psychology, philosophy and artificial intelligence literature and searched for definitions individual researchers and groups came up with. The characterizations are very diverse, but there seems to be a recurrent theme which we have aggregated and distilled into the following definition: Intelligence is an agent's ability to achieve goals or succeed in a wide range of environments.

 

The emerging scientific field is called universal artificial intelligence, with AIXI being the resulting super-intelligent agent. AIXI has a planning component and a learning component. The goal of AIXI is to maximise its reward over its lifetime – that's the planning part.

 

In summary, every interaction cycle consists of observation, learning, prediction, planning, decision, action and reward, followed by the next cycle. If you're interested in exploring further, AIXI integrates numerous philosophical, computational and statistical principles:

 

• Ockham's razor (simplicity) principle for model selection

• Epicurus principle of multiple explanations as a justification of model

   averaging

• Bayes rule for updating beliefs

• Turing machines as universal description language

• Kolmogorov complexity to quantify simplicity

• Solomonoff's universal prior, and

• Bellman equations for sequential decision making.

 

AIXI's algorithm rigorously and uniquely defines a super-intelligent agent that learns to act optimally in arbitrary unknown environments. One can prove amazing properties of this agent – in fact, one can prove that in a certain sense AIXI is the most intelligent system possible. Note that this is a rather coarse translation and aggregation of the mathematical theorems into words, but that is the essence.

 

Since AIXI is incomputable, it has to be approximated in practice. In recent years, we have developed various approximations, ranging from provably optimal to practically feasible algorithms.

 

The point is not that AIXI is able to play these games (they are not hard) – the remarkable fact is that a single agent can learn autonomously this wide variety of environments. AIXI is given no prior knowledge about these games; it is not even told the rules of the games! It starts as a blank canvas, and just by interacting with these environments, it figures out what is going on and learns how to behave well. This is the really impressive feature of AIXI and its main difference to most other projects.

 

Even though IBM Deep Blue plays better chess than human Grand Masters, it was specifically designed to do so and cannot play Jeopardy. Conversely, IBM Watson beats humans in Jeopardy but cannot play chess – not even TicTacToe or Pac-Man. AIXI is not tailored to any particular application. If you interface it with any problem, it will learn to act well and indeed optimally.


Via Dr. Stefan Gruenwald
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How do neurons connect to each others? Blue Brain Project opens new insights.

One of the greatest challenges in neuroscience is to identify the map of connections between neurons. In a landmark paper published in PNAS, the EPFL's Blue Brain Project (BBP) has identified key principles that determine synapse-scale connectivity by virtually reconstructing a cortical microcircuit and comparing it to a mammalian sample.


Via Szabolcs Kósa
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Christian Garza's comment, September 19, 2012 12:46 AM
interesting
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[Report] The Future of Big Data | Pew Research Center's Internet & American Life Project

[Report] The Future of Big Data | Pew Research Center's Internet & American Life Project | evolution numérique | Scoop.it

Big Data: Experts say new forms of information analysis will help people be more nimble and adaptive, but worry over humans’ capacity to understand and use these new tools well.

Tech experts believe the vast quantities of data that humans and machines will be creating by the year 2020 could enhance productivity, improve organizational transparency, and expand the frontier of the “knowable future.” But they worry about “humanity’s dashboard” being in government and corporate hands and they are anxious about people’s ability to analyze it wisely.


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Virginia Tech: RoboJelly

Researchers at Virginia Tech and the University of Texas at Dallas built Robojelly from materials known as shape-memory alloys, which return to their original shape when bent. Eight moving segments wrapped in carbon nanotubes and coated with a platinum powder replicate the jellyfish's natural opening-and-closing method of propulsion.


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SAP Predictive Intelligence: Transforming the Future with Insight Today - BI Innovations Webcast

SAP Predictive Intelligence: Transforming the Future with Insight Today - BI Innovations Webcast | evolution numérique | Scoop.it

I attended an SCN SAP Predictive Analysis and SAP Visual Intelligence Webcast  yesterday.  First up was SAP Visual Intelligence (#SAPVisi hashtag) which I wrote about yesterday here. 

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The 'intelligence explosion'

Dr Anders Sandberg from Oxford University's future think-tank explains how a human cyborg world would work.


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Frogs for wireless networks

Frogs for wireless networks | evolution numérique | Scoop.it

Males of the Japanese tree frog have learnt not to use their calls at the same time so that the females can distinguish between them. Scientists at the Polytechnic University of Catalonia have used this form of calling behaviour to create an algorithm that assigns colours to network nodes – an operation that can be applied to developing efficient wireless networks.


Via David Sánchez
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The Individual in a Networked World: Two Scenarios

The Individual in a Networked World: Two Scenarios | evolution numérique | Scoop.it

Collaborative agent bots? A walled world under constant surveillance? Two information technology experts parse the future of human–network interaction


Via Szabolcs Kósa
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