The Future of Artificial Intelligence
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[1803.01442] Stochastic Activation Pruning for Robust Adversarial Defense

"we propose Stochastic Activation Pruning (SAP), a mixed strategy for adversarial defense. SAP prunes a random subset of activations (preferentially pruning those with smaller magnitude) and scales up the survivors to compensate. [...] Experiments demonstrate that SAP confers robustness against attacks, increasing accuracy and preserving calibration..

Juliette Decugis's insight:
SAP uses a minimax zero-sum game from game theory between adversary and model to increase robustness. The activation maps are converted to a multinomial distribution and sampled during each forward pass based on their magnitudes. The model defines one adversary, meant to perturb the model, and one defender, meant to adapt the model's parameters based on the perturbations.
Unique advanatages: no retraining or fine tuning
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The New Jim Code? Race and Discriminatory Design | EdSurge News

The New Jim Code? Race and Discriminatory Design | EdSurge News | The Future of Artificial Intelligence | Scoop.it
People have a tendency to treat technology and data as neutral, sterile and immune to mortal failings. Yet the digital tools we use at schools, job
Juliette Decugis's insight:
Ruha Benjamin highlights the biases of current AI and the risks of seeing technology as neutral. In her title, "The New Jim Code" she references the 2010 book "The New Jim Crow" by Alexander Michelle. Artificial intelligence is creating a new illusion of a 'colorblind society' where people of color are rendered invisible to everyday technologies and hypervisible to policing.
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Knowledge Distillation : Simplified - Towards Data Science

Knowledge Distillation : Simplified - Towards Data Science | The Future of Artificial Intelligence | Scoop.it
Neural models in recent years have been successful in almost every field including extremely complex problem statements. However, these models are huge in size, with millions (and billions) of…
Juliette Decugis's insight:
A comprehensive introduction to knowledge distillation, a new way to compress neural networks. Neural networks fascinate the machine learning community however there is one issue: they require millions to billions of parameters. Imagine if networks could teach each other reduced versions of their information while achieving the same results.
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AlphaGo: using machine learning to master the ancient game of Go

AlphaGo: using machine learning to master the ancient game of Go | The Future of Artificial Intelligence | Scoop.it
We are thrilled to have mastered Go and thus achieved one of the grand challenges of AI.
Juliette Decugis's insight:
In 2015, AlphaGo created by DeepMind became the first computer program to beat a professional player in the game of Go. Playing against itself, AlphaGo learned to master not only the most complex Go moves but more importantly discovered new techniques unknown to champions. AlphaGo could represent the start of the future of AI. 
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AI Is Biased. Here's How Scientists Are Trying to Fix It | WIRED

AI Is Biased. Here's How Scientists Are Trying to Fix It | WIRED | The Future of Artificial Intelligence | Scoop.it
Researchers are revising the ImageNet data set. But algorithmic anti-bias training is harder than it seems.
Juliette Decugis's insight:
Many fields, such as judicial departments, are already starting to use AI as a way of making more neutral decisions. Many people view AI as a better version of humans capable of more informed judgments. But who do machines learn from? Humans.
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Google’s AI Wizard Unveils a New Twist on Neural Networks

Google’s AI Wizard Unveils a New Twist on Neural Networks | The Future of Artificial Intelligence | Scoop.it
Google's Geoff Hinton helped catalyze the current AI boom and says he knows how to make machines smarter at understanding the world.
Juliette Decugis's insight:
Do you want to know who first made AI possible? Geoff Hinton. What's his next move to simplify data learning? Read all the details in this well-summarized article.
 
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How Artificial Intelligence Is Revolutionizing Enterprise Software In 2017

How Artificial Intelligence Is Revolutionizing Enterprise Software In 2017 | The Future of Artificial Intelligence | Scoop.it
81% of IT leaders are currently investing in or planning to invest in Artificial Intelligence (AI) and machine learning. Based on the study, CIOs have a new mandate to integrate AI into IT technology stacks. The study found that 43% are evaluating and doing a Proof of Concept (POC).
Juliette Decugis's insight:
Artificial Intelligence is already a key tool for software companies. This study shows how much it influences IT leaders and its growth in the last years.
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#AI investment is growing and touching every industry

#AI investment is growing and touching every industry | The Future of Artificial Intelligence | Scoop.it

A look at where Artificial Intelligence is heating up, from healthcare to entertainment.


Via Farid Mheir
Farid Mheir's curator insight, June 11, 2017 4:37 PM

WHY THIS IS IMPORTANT

AI startups funding shows that the investments has been growing steadily in the past 4 years and that every industry will be affected by the technology.

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5 Ways Artificial Intelligence Can Positively Impact Your Marketing Strategy

5 Ways Artificial Intelligence Can Positively Impact Your Marketing Strategy | The Future of Artificial Intelligence | Scoop.it
Get ready for the future - artificial intelligence is here to stay, and help marketers understand their customer's needs, emotions and preferences better.
Juliette Decugis's insight:
How companies use artificial intelligence today: a strong marketing tool.
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Scientists Have Developed an Artificial Intelligence System That Predicts the Lifespan of a Person

Scientists Have Developed an Artificial Intelligence System That Predicts the Lifespan of a Person | The Future of Artificial Intelligence | Scoop.it

According to sources from TimesOfIndia, the Artificial Intelligence (AI) system, developed by researchers from University of Adelaide in Australia, analysed the medical imaging of 48 patients' by simply looking at the images of their organs and were able to predict which of them would die within five years, with 69 percent accuracy. 

Juliette Decugis's insight:
Will AI replace even jobs requiring decades of higher education? Doctors are also at risk in this coming revolution...
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MIT builds Artificial Intelligence system that can detect 85% of Cyber Attacks

MIT builds Artificial Intelligence system that can detect 85% of Cyber Attacks | The Future of Artificial Intelligence | Scoop.it
Security researchers at MIT have developed an Artificial Intelligence-based cyber security platform that can predict, detect, and stop 85% of Cyber Attacks with high accuracy.
Juliette Decugis's insight:
"What if we could Predict when a cyber attack is going to occur before it actually happens and prevent it? Isn't it revolutionary idea for Internet Security?"
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Is There an AI President in Our Future? That Might Be an Upgrade

Is There an AI President in Our Future? That Might Be an Upgrade | The Future of Artificial Intelligence | Scoop.it
An artificial Intelligence would consider all the facts before making the most rational decision for the greatest good. What could possibly go wrong?
Juliette Decugis's insight:
Seems like a crazy idea but might be our future. 
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New Leap In Artificial Intelligence May Finally Allow Robots To 'Learn'

New Leap In Artificial Intelligence May Finally Allow Robots To 'Learn' | The Future of Artificial Intelligence | Scoop.it
Developers working on 'teaching' an iCub robot how to learn new languages may have unlocked a new door to huge advances in artificial intelligence.

Via Aidan Whitehouse
Juliette Decugis's insight:
The iCub robot could learn new languages and also possibly treat the linguistic malfunctions of people with Parkinson's disease.
Aidan Whitehouse's comment, March 21, 2013 9:15 AM
The possibility of a robot being created that will have the ability to learn multiple different languages without having them programmed into them.
The creators are hoping to be able to use this technology to unlock the ability to create a true artificial neuronal network.
If enough robots are built that can truly learn, the ability would be for all of this information to be brought together in the future to create a database with the widest variety of knowledge available in the world, and would allow robots to be created that speak many different languages fluently without each one having to spend months learning the languages.
Rhys Williams's curator insight, March 22, 2013 12:45 AM

Language Is never static so it is important that AI is able to effectively learn language in an organic manor.

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How to Forecast Time Series Data Using Deep Learning | by Michael Berk | Towards Data Science

How to Forecast Time Series Data Using Deep Learning | by Michael Berk | Towards Data Science | The Future of Artificial Intelligence | Scoop.it
In 2019, Amazon’s research team developed a deep learning method called DeepAR that exhibits a ~15% accuracy boost relative to state-of-the-art TS forecasting models. It’s robust out-of-the-box and…
Juliette Decugis's insight:
Amazon's DeepAR network combines traditional auto-regressive forecasting methods based on a time series' attributes (trend, seasonality...) and RNN. The model learns jointly from multiple related time series even with high differences in series' magnitudes. 
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A deep learning system for differential diagnosis of skin diseases

A deep learning system for differential diagnosis of skin diseases | The Future of Artificial Intelligence | Scoop.it

Skin conditions affect 1.9 billion people. Because of a shortage of dermatologists, most cases are seen instead by general practitioners with lower diagnostic accuracy. We present a deep learning system (DLS) to provide a differential diagnosis of skin conditions using 16,114 de-identified cases (photographs and clinical data) from a teledermatology practice serving 17 sites. [...] Our DLS can potentially augment the current clinical workflow in a primary-care setting in several ways. 

Juliette Decugis's insight:
Using the Tensorflow framework, Yuan Liu and Ayush Jain's team reached new steps in medical deep learning.

Their deep learning system not only categorizes skin conditions as benign or malignant, it successfully identifies 1 out of 26 skin conditions and provides a complete diagnosis for each patient. Its results compare to those of a dermatologist. 

How can we explain this success?

The DLS relies on multiple images per case as well as metadata (+4% accuracy observed) to make predictions. Furthermore, the system makes two level predictions based on the rarity of skin conditions. It's innovative in its data utility as well as system architecture.
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Exploring Transfer Learning with T5: the Text-To-Text Transfer Transformer

Exploring Transfer Learning with T5: the Text-To-Text Transfer Transformer | The Future of Artificial Intelligence | Scoop.it
Posted by Adam Roberts, Staff Software Engineer and Colin Raffel, Senior Research Scientist, Google Research Over the past few years
Juliette Decugis's insight:
Meet the new superstar of NLP: the T5 text to text model! T5 provides one unique model that can be applied to almost all existing NLP tasks: translation, summarization, classification, regression... It already provides state of the art results in many QA benchmark tasks.
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What is implicit deep learning? by Laurent El Ghaoui

What is implicit deep learning? by Laurent El Ghaoui | The Future of Artificial Intelligence | Scoop.it
I n the world of machine learning, neural network and associated deep learning models are quickly becoming dominant, with very significant amounts of work being published every day, often…
Juliette Decugis's insight:
Learn more about the future of deep learning: implicit models described as “neural nets on steroids” by Pr. Laurent El Ghaoui.
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I’m an AI researcher and here’s how I fight corona - Artur Kiulian

I’m an AI researcher and here’s how I fight corona - Artur Kiulian | The Future of Artificial Intelligence | Scoop.it
This is a story about how I’ve published a cry for help on my Linkedin less than a week ago and somehow found myself coordinating a group of 350 PhDs and AI specialists that are working 24/7 without…
Juliette Decugis's insight:
Article by Artur Kiulian creator of CoronaWhy.org, a search engine powered by machine learning algorithms to help medical researchers navigate scholar articles related to COVID-19. Discover how AI can help us fight and cure coronavirus. Currently, the CoranaWhy search engine provides specific articles related to a given query, data visualization tools for locating the spread of the virus, a matrix for exploring current treatments...
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The Myth of a Superhuman AI | Backchannel

The Myth of a Superhuman AI | Backchannel | The Future of Artificial Intelligence | Scoop.it
Hyper-intelligent algorithms are not going to take over the world for these five reasons.
Juliette Decugis's insight:
Sorry robots will not rule the world! When we think of AI, we see a future with superhuman robots destroying our species. Hurray, that is not the case! This article shows with five simple points the impossibility of this scenario.
 
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Facebook wants to use artificial intelligence to block terrorists online

Facebook wants to use artificial intelligence to block terrorists online | The Future of Artificial Intelligence | Scoop.it
Artificial intelligence is being developed to analyze written text to block terror-related content.
Juliette Decugis's insight:
Facebook has been greatly criticised for not doing enough to stop the spread of terrorist ideas on its platform. After the recent London attacks, the social media decided to change its policy and spend more time solving this issue through the potential use of AI.
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U.S. weighs restricting Chinese investment in artificial intelligence: officials

U.S. weighs restricting Chinese investment in artificial intelligence: officials | The Future of Artificial Intelligence | Scoop.it
There is concern that cutting-edge technologies developed in the U.S. could be used by China to bolster its military capabilities and even push it ahead in strategic industries
Juliette Decugis's insight:
Military use of artificial intelligence is becoming more and more frequent especially in drone warfare. It is no surprise that China has developed a growing interest in Silicon Valley's AI companies. Each year, the country invests 40 million dollars in American companies. The investements are taking a negative toll on the US economy and posing a potential threat.
 
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10 Jobs Artificial Intelligence Will Replace (and 10 That Are Safe)

10 Jobs Artificial Intelligence Will Replace (and 10 That Are Safe) | The Future of Artificial Intelligence | Scoop.it
The age of artificial intelligence, or AI, is here. Learn which jobs it will replace and which jobs are safe ... for now.
Juliette Decugis's insight:
Some jobs remain irreplaceable. AI is developing more and more in the recent years, but we have no clue when the revolution will actually come to life. It could be in the next years or in the next decades. 
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When Bill Gates and Mark Zuckerberg sound the same dire warning about jobs, it’s time to listen

When Bill Gates and Mark Zuckerberg sound the same dire warning about jobs, it’s time to listen | The Future of Artificial Intelligence | Scoop.it

The founders of Microsoft and Facebook have cautionary words for the Class of 2017:


At his Harvard University commencement speech on Thursday, Facebook chief executive Zuckerberg had some tough words for the Class of 2017.

Juliette Decugis's insight:
AI will create 15 million new jobs in the next years but are also putting 38% of jobs in the U.S. at “high risk” of being replaced.
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AI traffic lights to end rush hour jams in Milton Keynes

AI traffic lights to end rush hour jams in Milton Keynes | The Future of Artificial Intelligence | Scoop.it
Traffic lights fitted with artificial intelligence could spell the end of rush hour queues in British cities.
Juliette Decugis's insight:
The beginning of smart cities. The British city wants to install AI powered cameras into the traffic lights in order to monitor traffic based on the number of cars and to prioritize ambulances, for example. COMING SOON
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Andrew Ng: What AI Can and Can’t Do

Andrew Ng: What AI Can and Can’t Do | The Future of Artificial Intelligence | Scoop.it
If a task takes you less than one second of thought, a machine can probably do it.
Juliette Decugis's insight:
There has been science fiction movies about artificial intelligence. Today theses myths are coming to shape, but understanding what AI can and can not do is the beginning process for any programmer. 
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