The Permanent Future Lab is a place to rediscover your sense of wonder and amazement at technology. Jurjen de Vries and Samir Lahiri are the co-initiators who host us during the Geeky Night Out, a chance to experiment with the wide range of modern technologies at the Permanent Future Lab. The idea behind the lab is to encourage people... Continue Reading →
Here is a brief summary of Amazon's machine learning service in AWS. Main function: Data modelling for prediction using supervised learning Try to predict characteristics like Is this email spam Will this customer buy my product Key benefits: No infrastructure management required Democratises data science Wizard-based model generation, evaluation and deployment Does not require data... Continue Reading →
Where is AI development going, and how do we know when we are there? The AI world is developing rapidly and and it can be quite challenging to keep up with everything that's happening across the wide spectrum of AI capabilities. While writing this post, I tried to discover a way for myself to organise... Continue Reading →
This week I'll be zooming in on Sikuli, a testing tool which uses computer vision to aid in verifying UI elements. Sikuli was created by the MIT User Design Group in 2010. The Sikuli IDE allows use of Jython to write simple test cases based on identifying visual elements on the screen, like buttons, and interacting with... Continue Reading →
The effect of the digital age and exponential technology on analog human beings with Gerd Leonhard and Singularity University This week I attended the Singularity University NL Meetup on Ethics and Technology, hosted partially in Artis Zoo in Amsterdam and partially at the Freedom Labs Campus across the road. The guest speaker for the evening... Continue Reading →
This past week, I attended the first Amsterdam Artificial Intelligence Meetup, arranged by Markus Pfundstein and Simon Van Der Veen at Rockstart on Herengracht. The first meeting was about getting to know each other and figuring out what direction would be most meaningful for the group. About twenty people attended and the group included quite... Continue Reading →
This blog post is about the Applied Machine Learning Meetup which I attended at Booking.com's Amsterdam office. They described their use of Latent Dirichlet Allocation to identify patterns in travel and booking data and suggest travel destinations to their users. Athanasios Noulas, the presenter, has published this paper on the topic, along with Mats Einarsen, where... Continue Reading →
xkcd Today we saw the topic of artificial intelligence morality and ethics rising to the surface again, sparked by the letter on the Future of Life Institute website concerning beneficial (and not harmful) AI. This letter had been signed by representatives from Oxford, Berkeley, MIT, Google, Microsoft, Facebook, Deep Mind (Google), Vicarious (Elon Musk, Facebook),... Continue Reading →
Genetic Algorithms can be used to search for solutions to problems, if we can model the solution components, and the characteristics of a good solution. They are based on the principles which govern evolution. Strong individuals in the population reproduce, passing on blended characteristics which make the next generation stronger. Sometimes mutation occurs, creating a... Continue Reading →
As a follow-up to my post on Google's use of AI in Testing at their GTAC 2014 conference, here is a review of the Facebook Testing session: GTAC 2014: Never Send a Human to do a Machine’s Job: How Facebook uses bots to manage tests (Roy Williams) In this talk, Roy Williams tells us about the... Continue Reading →
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