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Google Unveils Neural Network with “Superhuman” Ability to Determine the Location of Almost Any Image

Google Unveils Neural Network with “Superhuman” Ability to Determine the Location of Almost Any Image | Sentiment Analysis, Text Mining, Recommender Systems | Scoop.it
Guessing the location of a randomly chosen Street View image is hard, even for well-traveled humans. But Google’s latest artificial-intelligence machine manages it with relative ease.
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Baidu’s Artificial Intelligence Team Releases Key Deep-Learning Code | MIT Technology Review

Baidu’s Artificial Intelligence Team Releases Key Deep-Learning Code | MIT Technology Review | Sentiment Analysis, Text Mining, Recommender Systems | Scoop.it
“China’s Google” is joining U.S. tech giants in giving away some of its code.
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Facebook Is Adding A Personal Assistant Called “M” To Your Messenger App

Facebook Is Adding A Personal Assistant Called “M” To Your Messenger App | Sentiment Analysis, Text Mining, Recommender Systems | Scoop.it
We'd been hearing rumblings that Facebook was working on an "assistant" within Messenger (along with others), but today we've gotten the details that pull it..
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What’s in This Picture? AI Becomes as Smart as a Toddler

What’s in This Picture? AI Becomes as Smart as a Toddler | Sentiment Analysis, Text Mining, Recommender Systems | Scoop.it
Developments in machine learning allow computers to answer more complex questions about the contents of images
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RPubs - TextMining in R with Korean Data

Ivan Berlocher's insight:

Some results of my R studies ... 

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The beauty of data visualization

The beauty of data visualization | Sentiment Analysis, Text Mining, Recommender Systems | Scoop.it
David McCandless turns complex data sets (like worldwide military spending, media buzz, Facebook status updates) into beautiful, simple diagrams that tease out unseen patterns and connections. Good design, he suggests, is the best way to navigate information glut -- and it may just change the way we see the world.
Ivan Berlocher's insight:

Data is the new Soil ...

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FAIR open sources deep-learning modules for Torch

FAIR open sources deep-learning modules for Torch | Sentiment Analysis, Text Mining, Recommender Systems | Scoop.it
The modules are significantly faster than the default ones in Torch and have accelerated research projects by allowing users to train larger neural nets in less time.
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Facebook invents an intelligence test for machines - tech - 03 March 2015 - New Scientist

Facebook invents an intelligence test for machines - tech - 03 March 2015 - New Scientist | Sentiment Analysis, Text Mining, Recommender Systems | Scoop.it
Forget the Turing test. Facebook has come up with a simple quiz that will help work out the intelligence levels of your latest AI
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Human-level control through deep reinforcement learning : Nature : Nature Publishing Group

Human-level control through deep reinforcement learning : Nature : Nature Publishing Group | Sentiment Analysis, Text Mining, Recommender Systems | Scoop.it
The theory of reinforcement learning provides a normative account, deeply rooted in psychological and neuroscientific perspectives on animal behaviour, of how agents may optimize their control of an environment. To use reinforcement learning successfully in situations approaching real-world complexity, however, agents are confronted with a difficult task: they must derive efficient representations of the environment from high-dimensional sensory inputs, and use these to generalize past experience to new situations. Remarkably, humans and other animals seem to solve this problem through a harmonious combination of reinforcement learning and hierarchical sensory processing systems, the former evidenced by a wealth of neural data revealing notable parallels between the phasic signals emitted by dopaminergic neurons and temporal difference reinforcement learning algorithms. While reinforcement learning agents have achieved some successes in a variety of domains, their applicability has previously been limited to domains in which useful features can be handcrafted, or to domains with fully observed, low-dimensional state spaces. Here we use recent advances in training deep neural networks to develop a novel artificial agent, termed a deep Q-network, that can learn successful policies directly from high-dimensional sensory inputs using end-to-end reinforcement learning. We tested this agent on the challenging domain of classic Atari 2600 games. We demonstrate that the deep Q-network agent, receiving only the pixels and the game score as inputs, was able to surpass the performance of all previous algorithms and achieve a level comparable to that of a professional human games tester across a set of 49 games, using the same algorithm, network architecture and hyperparameters. This work bridges the divide between high-dimensional sensory inputs and actions, resulting in the first artificial agent that is capable of learning to excel at a diverse array of challenging tasks.
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Baidu Announces Breakthrough In Speech Recognition, Claiming To Top Google And Apple

Baidu Announces Breakthrough In Speech Recognition, Claiming To Top Google And Apple | Sentiment Analysis, Text Mining, Recommender Systems | Scoop.it
Armed with new computer systems that can crunch massive amounts of data more quickly, Baidu has built a new "deep learning" speech recognition system that it says works better than current systems that power Google, Apple, Microsoft, and others.
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Why Did Google Pay $400 Million for DeepMind? | MIT Technology Review

Why Did Google Pay $400 Million for DeepMind? | MIT Technology Review | Sentiment Analysis, Text Mining, Recommender Systems | Scoop.it
A cutting-edge corner of science is being wooed by Silicon Valley, to the dismay of some academics.
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Google's Secretive DeepMind Startup Unveils a "Neural Turing Machine" | MIT Technology Review

Google's Secretive DeepMind Startup Unveils a "Neural Turing Machine" | MIT Technology Review | Sentiment Analysis, Text Mining, Recommender Systems | Scoop.it
DeepMind has built a neural network that can access an external memory like a conventional Turing machine. The result is a computer that mimics the short-term memory of the human brain.
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SKYMIND : DEEP LEARNING FOR EVERYONE

Skymind is the commercial support arm of the open-source project deeplearning4j.
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DeepHack.Q&A Kyunghyun Cho – New Territory of Machine Translation

New Territory of Machine Translation
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What To Expect from Deep Learning in 2016 and Beyond

What To Expect from Deep Learning in 2016 and Beyond | Sentiment Analysis, Text Mining, Recommender Systems | Scoop.it
Ivan Berlocher's insight:
What's next for #DeepLearning ?
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Google’s artificial-intelligence bot says the purpose of living is 'to live forever'

Google’s artificial-intelligence bot says the purpose of living is 'to live forever' | Sentiment Analysis, Text Mining, Recommender Systems | Scoop.it
Researchers at Google programmed an advanced type of “chatbot” that learns how to respond in conversations based on examples from a training set of...
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Hawking : « L'intelligence artificielle pourrait mettre fin à l'humanité »

Le Monde.fr version mobile - Dans un entretien à la BBC, l'astrophysicien britannique Stephen Hawking craint que les humains, limités par une lente évolution biologique, ne puissent rivaliser avec l'intelligence artificielle.
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What Police Can Learn from Deep Learning

What Police Can Learn from Deep Learning | Sentiment Analysis, Text Mining, Recommender Systems | Scoop.it

Police departments are increasingly turning to predictive analytics to help them fight crime, and the early returns are positive, with double-digit drops in crime rates reported in many cities. So what’s next? According to big data analytics experts, police departments could spend their time and money more effectively by giving deep learning algorithms a role in the dispatch room.


Via ukituki
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How PayPal uses deep learning and detective work to fight fraud

How PayPal uses deep learning and detective work to fight fraud | Sentiment Analysis, Text Mining, Recommender Systems | Scoop.it
Hui Wang has seen the nature of online fraud change a lot in the 11 years she’s been at PayPal. In fact, a continuous evolution of methods is kind of the nature of cybercrime. As the good guys catch onto one approach, the bad guys try to avoid detection by using another. Today, said Wang, PayPal’s senior…
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The History of Machine Learning from the Inside Out

The History of Machine Learning from the Inside Out | Sentiment Analysis, Text Mining, Recommender Systems | Scoop.it
In episode five of Talking Machines, we hear the first part of our
conversation with Geoffrey Hinton (Google and University of Toronto),
Yoshua Bengio (University of Montreal) and Yann LeCun (Facebook and NYU).
Ryan introduces us to the ideas in tensor factorization methods for
learning latent variable models (which is both a tongue twister and and one
of the new tools in ML). To find out more on the topic, the paper Tensor
decompositions for learning latent variable models is a good place
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IBM acquires AlchemyAPI to bring deep learning to Watson | VentureBeat | Big Data | by Jordan Novet

IBM acquires AlchemyAPI to bring deep learning to Watson | VentureBeat | Big Data | by Jordan Novet | Sentiment Analysis, Text Mining, Recommender Systems | Scoop.it
Giving startups access to deep learning could make IBM appear more contemporary than other enterprise software vendors.
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Facebook AI Director Yann LeCun on His Quest to Unleash Deep Learning and Make Machines Smarter - IEEE Spectrum

Facebook AI Director Yann LeCun on His Quest to Unleash Deep Learning and Make Machines Smarter - IEEE Spectrum | Sentiment Analysis, Text Mining, Recommender Systems | Scoop.it
The Deep Learning expert explains how convolutional nets work, why Facebook needs AI, what he dislikes about the Singularity, and more
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Google Universe: 5 Places To Find Google Within A Decade

Google Universe: 5 Places To Find Google Within A Decade | Sentiment Analysis, Text Mining, Recommender Systems | Scoop.it
Google is growing at breakneck pace, acquiring companies left and right. With lots of diversification, where will Google be in a decade?
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Tech 2015: Deep Learning And Machine Intelligence Will Eat The World

Tech 2015: Deep Learning And Machine Intelligence Will Eat The World | Sentiment Analysis, Text Mining, Recommender Systems | Scoop.it
The biggest part of big data, the unstructured part, possesses learnable patterns that we now have the computing power and algorithmic leverage to discern—and in short order.
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The Mission to Bring Google's AI to the Rest of the World

The Mission to Bring Google's AI to the Rest of the World | Sentiment Analysis, Text Mining, Recommender Systems | Scoop.it

Adam Gibson, an independent software engineer based in San Francisco, doesn’t want this new technology locked inside the biggest names on the net. He believes deep learning techniques should be available to any website, company, or developer interested in using them. And that’s why he’s launching a new startup called Skymind. 

Ivan Berlocher's insight:

Adam Gibson, the guy behind:  http://deeplearning4j.org/

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