We’re very proud to sponsor Startup ML’s conference on Putting Deep Learning into Production, being held Jan 21, 2017.
While we won’t be presenting this time, we’re excited to see the presentations dealing with the large-scale and complexity of effectively using Deep Learning models in production. In particular, Illia Polosukhin‘s talk on Finding Adversarial Examples — especially insofar as limiting exploitation of models — and Michael Mahoney‘s talk, Computationally-intensive machine learning at the tera-scale, are relevant to the problems we work on.
If you’d like to chat with one of us at the conference, please don’t hesitate to come up and say hello! We’ll be wearing our Sift Science T-shirts and we’d love to talk to you.
