AI in Real Life: machine learning, neural networks, deep learning. We’re on the threshold of something big. Join us as we explore what this means, not just for humanity in the future, but also for you and me, tomorrow.
Popular fiction is nice and all, but it needs a soundtrack.
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From New York Drew Silverstein from Amper Music joins is. In the most amazing conversation we had on AI ... ever! You think you know how it works, but you really don't!
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And is it something we should be scared of? Spike Jonze gave us the beatiful 2013 movie HER, with a not so distant future is intelligent operating systems. Let's take a look at the status of the tech then and now.
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Euro Beinat is Global Lead Data Science and AI for Naspers which gives him an unique position with a worldwide overview of all the Naspers subsidiaries. Where as David Lin, Global Head of Data Science for PayU works with that local knowledge to create more freedom with microcredits in India.
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We already discussed Jurassic Park and now it's time for Westworld! Or... is there a better theme park out there?
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The loss of students gets greater with the loss of professors and research fellows to the big companies who are scouting talent non stop. The future of artificial intelligence starts with a proper education, but with not enough people able to teach them, where will the knowledge and talent come from in the near future?
At the University of Amsterdam AI research master, Cees Snoek has the difficult task as director to reform the master and keep the eye on the ball: more students getting the proper education for a bright AI future.
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Jean-Paul van Oosten, Senior Machine Learning Engineer at Target Holding explains how to transform words into math, to make dictionaries from and for resumes, for use in human resources and at recruitment agencies. Which is very different from implementing AI for selection within a company, as a single company will almost always have a biased dataset.
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Kay Firth-Butterfield, head of AI and machine learning at the World Economic Forum and perpetually ahead of her time, talks about bringing governments, corporations, academia and citizens together to govern AI in an agile way: to accelerate, not impede, technology - but in the right direction.
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