Elon Musk and Mark Zuckerberg recently enjoyed a high profile spat about AI’s potential for apocalyptic side-effects. In a rather infantile exchange conducted via the gossiping journalists of the tech playground, Mark said that he thought Elon was a crybaby
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The Right Energy at the Right Time
Originally published at the ASI Blog. This is an account of my experience on the ASI Data Science Fellowship, a transition program for academics interested in commercial machine learning which I took part in Jan-March 2017. I completed a project with … Keep reading
Driverless cars and the attention economy
It’s increasingly hard to ignore the buzz surrounding driverless cars. Tesla and Google/Waymo are at the front of the pack, logging hundreds of thousands of driverless miles on the roads of California. If you believe the hype, then our roads … Keep reading
Seeing the science in startups
The transition from academia to industry has brought with it a variety of new experiences, such as enjoying a free functioning coffee machine in your workplace, people caring what time you turn up for work, and worrying about how the business is going … Keep reading
Building a Burns bot #2: Making a Slackbot
Originally published on the ASI blog.
In the previous post we discussed using Markov chain models to generate pseudo-poetry. But data science is not just about writing algorithms which give you a warm feeling and make your grandma swallow her dentures … Keep reading
Building a Burns bot #1: Markov models for poetry generation
Originally published on the ASI Blog .
Robert (or Rabbie) Burns was a Scottish poet whose corpus includes ‘An Ode to A Haggis’ and the New Year’s Eve favourite ‘Auld Lang Syne’. Each year … Keep reading