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Deep Learning has pushed the field of AI forward recently, producing incredible results in areas like speech and image recognition. Where most machine learning methodologies try to model the world, deep learning attempts to model the human brain in order to create and maintain its own representations of the world. Via Nik Peachey
Carol Hancox's insight:
Simple overview of the different terms of AI, Machine Learning, Deep learning etc and then applied to education 
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Artificial intelligence is threatening to replace many jobs. There are experiments to see whether robots could become teachers.
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While some may be able to coast into office with the promise of bringing jobs back from oversees, they fail to realize that there may be no jobs to bring back. Automation is set to replace 5 million human jobs by 2020, with poorer countries being impacted significantly more than developed nations.
Carol Hancox's insight:
Robots and social issues - employment
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"The actual path of a raindrop as it goes down the valley is unpredictable, but the general direction is inevitable," says digital visionary Kevin Kelly -- and technology is much the same, driven by patterns that are surprising but inevitable. Over the next 20 years, he says, our penchant for making things smarter and smarter will have a profound impact on nearly everything we do. Kelly explores three trends in AI we need to understand in order to embrace it and steer its development. "The most popular AI product 20 years from now that everyone uses has not been invented yet," Kelly says. "That means that you're not late."
Carol Hancox's insight:
AI thoughts for the future
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Opinion: If AI is so smart, why does it fail at tasks that regular people take for granted?
Carol Hancox's insight:
Interesting insight into the future of AI - how intelligent is it? or is it more artificial?
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A theory posits that the all of our thoughts are a function of a basic algorithm, N=2^i–1. This development may be huge for AI, since artificial neural networks operate much like the brain, applying this formula may be the key to true intelligence.
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A researcher who co-wrote a paper in the 1990s on a crucial artificial intelligence technique feels overlooked by today’s stars in the field.
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We explore facial detection APIs and sentiment analysis APIs that can be integrated into apps to detect emotion from users.
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The next generation of online attack tools used by criminals will add machine learning capabilities pioneered by A.I. researchers.
Carol Hancox's insight:
Ethics of AI
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Take a peek into Google's experimental artificial intelligence research.
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Customer service in banking is hard. Take a look at any bank’s Facebook or Twitter account and complaints heavily outnumber compliments. Westpac, one of Australia’s largest banks is a good example. Every…
Carol Hancox's insight:
Chat Bots for banks
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2016 may have been a terrible year in many ways, but there was still some undeniable good to come out of the past 12 months. Via John Evans
Carol Hancox's insight:
Innovations, some including AI/Robotics
Carol Hancox's curator insight,
December 21, 2016 10:00 PM
A whole range of IT and non IT related innovations
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Publisher of The Sun and The Times newspapers is also experimenting with data, using Amazon Redshift and Google's BigQuery
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Few would argue that AI has progressed faster than expected, with self-driving cars and significant advances in machine learning, deep learning and reinforcement learning. In some cases the practical applications clearly transcend human capabilities and competences. We don’t need to see ‘intelligence’ at the centre of this solar system. The Copernican move is to remove this term and replace it with competences and look to problems that can be solved. Via Nik Peachey
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Artificial intelligence is already transforming a range of industries but it has still to make an impact on healthcare. So what's the hold up?
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If the Windows 10 virtual assistant software is calling you by the wrong name, or butchering its pronunciation, here’s how to fix it.
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This post was originally written by Manan Shah as a response to a question on Quora.
Carol Hancox's insight:
neural networks
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Humanoid robots just got a major upgrade: they can walk! A new "walking algorithm" has been developed at the Institute for Human and Machine Cognition (IHMC) for Boston Dynamics' Atlas robot.
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Recent developments in driverless cars, voice recognition, and deep learning show how much machines can do. But, AI also failed us in 2016, and here are some of the biggest examples.
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Oxford University researchers partnered with Google on a new AI tool that reads lips, and the results were significant.
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Carol Hancox's insight:
AI and ethics - privacy concerns in health industry
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Which is a better helper, Google Home or Amazon Echo? A side-by-side test for six days revealed strengths and weaknesses.
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Great to see someone making the distinction between AI and machine learning.