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Stephen Dale

Machine learning, artificial intelligence and robo-advisers: The future of finance - 1 views

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    The application of AI to the development of smarter robo-advisers offers a dichotomy of hope or fear that it could yield 'intelligent' and cost-effective investment management advice.
Stephen Dale

6 Hot AI Automation Technologies Destroying And Creating Jobs - 1 views

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    A summary of 6 AI technologies that will have the most impact on jobs in the near future.
Stephen Dale

Robot wars:  if we can't beat them, let's become them | News Review | The Tim... - 0 views

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    As fears grow that artificial intelligence could wipe us out, one radical idea to stop it is that man and machine merge
Gary Colet

Is It Time To Rethink The Scientific Method? | Digital Tonto - 0 views

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    Interesting article about how innovation is being democratised through wide accessibility to big/open data
Stephen Dale

Data Bias Is Becoming A Massive Problem | Digital Tonto - 0 views

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    Machines, even virtual ones, have biases. They are designed, necessarily, to favour some kinds of data over others. Unfortunately, we rarely question the judgments of mathematical models and, in many cases, their biases can pervade and distort operational reality, creating unintended consequences that are hard to undo.
Stephen Dale

What are we really teaching AI? | TED Talks - 1 views

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    What happens when we teach a computer how to learn?
Stephen Dale

51 Artificial Intelligence (AI) Predictions for 2018 - 0 views

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    "It is somewhat safe to predict that AI will continue to be at the top of the hype cycle in 2018. But the following 51 predictions also envision it becoming more practical and useful, automating some jobs and augmenting many others, combining machine learning and big data for fresh insights, with chatbots proliferating in the enterprise."
Stephen Dale

Machine learning technology and the five vectors of progress | Deloitte Insights - 0 views

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    What's keeping leaders from adopting machine learning? Well, tools are still evolving, practitioners are scarce, and the technology is a bit inscrutable for comfort. But five vectors of progress are making it easier, faster, and cheaper to deploy machine learning and could bring it into the mainstream.
Stephen Dale

The Master Algorithm - Machine Learnings - 1 views

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    "How the Quest for the Ultimate Learning Machine Will Remake Our World"
Stephen Dale

How white engineers built racist code - and why it's dangerous for black people | Techn... - 1 views

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    Researchers at the MIT Media Lab, think that facial recognition software has problems recognizing black faces because its algorithms are usually written by white engineers who dominate the technology sector. These engineers build on pre-existing code libraries, typically written by other white engineers.
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