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Alan Turing's Imitation Game has long been a benchmark for machine intelligence. But what it really measures is deception. 
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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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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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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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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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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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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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From
www
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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Juliette Decugis's insight:
We use artificial intelligence everyday but how much could this technology really impact our lives?
Learn from experts all the possible uses of AI.
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Artificial Intelligence (AI) has been a topic of many books and movies over the past two decades. Quite often the AI Revolution is described as Evil. But is it? Are we ready?
Juliette Decugis's insight:
The artificial intelligence revolution is often compared to the internet revolution of the early 2000s. The internet revolution shaped and continues to shape the 21st century. It brought so many advantages to our daily lives, and shifted the political, economic and work atmospheres. Internet with its progress also brought many new dangers. In a similar way, AI can help humans immensely but is also seen as a potential threat. So are we ready?
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"I think we should think of AI as the intellectual equivalent of a backhoe. It will be much better than us at a lot of things" Artificial intelligence is a booming industry in 2019 with lots of new technological advancements.
Juliette Decugis's insight:
It blows my mind to think the most widely used deep learning models were developed a little less than 40 years ago. Transformers (2017) do seem to be missing on the deep learning timeline...
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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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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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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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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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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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From
hbr
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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Juliette Decugis's insight:
9 min video but worth the time. Explains the beginning of artificial intelligence in the 1950s and its evolution until today.
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President and WIRED guest editor Barack Obama discusses the future of artificial intelligence with WIRED editor in chief Scott Dadich and MIT Media La
Juliette Decugis's insight:
Everyone is talking about artificial intelligence, even the president. See what he has to say about this future technology.
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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. |
In 1950, Turing designed a simple test to evaluate whether a computer possessed artificial intelligence comparable to humans; a computer must be able to pass as a human during a series of questions.
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Today, Google's text generating deep learning models such as GPT-3 easily pass the Turing test. However, whether these models actually understand their generated output or rather excel at combining human text for specific questions stays up for debate.
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This article points out the outdated nature of the Turing test to measure NLP advances which is now evaluated on new benchmarks. The Turing test instead raises ethical concerns for AI and its potential for deceit.Â
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It is also interesting to note that NLP models can pass as humans on specific questions but often fail when applied to questions to new domains. Far from resembling human consciousness, current AI remains very specialized and data powered. This motivates the development of new tests to understand model generalization.Â