This weekend, the rumbling sound echoing across southern California will be the result of a hundred of flights simultaneously descending for the 2017 Neural Information Processing Systems (NIPS) conference.

NIPS, considered one of the leading AI research conferences in the world, is an annual symposium where the planet’s top minds in machine intelligence come to hear the rest of the planet’s top minds in machine intelligence present their research. Topics covered include the latest in reinforcement learning, deep learning, GANs, computer vision, natural language processing, and just about any other field that will find its way into mainstream vernacular over the next 12 months.

There is so much material to cover, NIPS schedules famously go on for 16-hours a day. Our team is proud to attend again this year. One of the projects we’ll be presenting is Chris Srinivasa’s paper on Min-Max Propagation, where he will discuss his team’s results on the application of min-max propagation, a variation of belief propagation, for approximate min-max inference in factor graphs. For a full abstract, please visit Min-Max Propagation.

To celebrate, we’re also throwing an official NIPS after-party on Wednesday night. For the rest of the week, we’ll be at Booth #148 to chat, talk shop, and hand out swag. If you’d like to learn more about us or simply find yourself in the company of real-life Canadians, we’d love to meet you, too.