Our second R&D Report, Probabilistic Methods for Realtime Streams, has gone out! In this report, we explored probabilistic algorithms for machine learning on potentially large realtime streams of data with efficient CPU and memory usage.
Our prototype demonstrated these algorithms running on large amounts of social conversation data. More on that soon.
More from the Blog
Mar 31 2015
The Hoff stopped by Fast Forward Labs!
Apr 6 2015
by — It’s restyled blog day here at Fast Forward Labs! Having wrapped up our second report, I (Grant, Fast Forward Labs designer-dev) am now spending some time putting our web presence in order. The real big piece of that is a revamped Fast Forward website, which should be out next week, but as a warm-up today I worked on getting our blog into shape. I wanted to keep things clean ...
Apr 19 2018
by — Today we are launching a mini-site featuring our collection of short stories inspired by new developments in machine learning. Beginning with our fourth report, we started including a science-fiction story along with the technical and strategic overviews that are the bulk of each report. Using these stories, we can look at the technologies we profile from a different angle and explore their c...