I just had the opportunity to share some of our experiences building our machine learning and NLP stack at PyParis 2017 today. I feel like we’ve come a long way and often this involved learning things the hard way so I tried to share the lessons we learned in this talk. I hope there’s something in here that might be useful for small startups trying to balance complex and changing business requirements with interesting and not entirely standard technical problems. If you have any thoughts, suggestions or improvements please drop us a line!
Once the recording of the talk is available from PyParis I’ll post a link here.
Last Friday, I had the opportunity to present to the DC Chapter of the Knowledge Management Association. I went over different ways artificial intelligence can be applied to help address challenges facing knowledge management. It was a great experience and I learned a lot from the questions and interactions with our local KM experts. Here are the slides: KMA Presentation
Xynn is our proprietary technology platform, which incorporates our own algorithms as well as cutting-edge artificial intelligence research from academia. It powers all the products on our website and also allows us to quickly generate bespoke solutions. In this post, I’d like to share a little about Xynn and how it provides a very powerful basis for building natural language solutions.
Continue reading “Introducing Xynn”
The promise of artificial intelligence is to teach computers to understand the world so they become better at helping us interact with it.
In 1997, the artificially intelligent machine Deep Blue defeated the reigning chess champion, Garry Kasparov. Its victory didn’t spell the end of the human endeavour of chess; rather, it heralded in a new era of human-machine synergy. Today’s best chess players are “Centaurs” – human chess experts enhanced and backed by the power of artificial intelligence. Continue reading “Creating Centaurs”