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 ...
Jul 22 2019
by — We discussed this research as part of our virtual event on Wednesday, July 24th; you can watch the replay here! Convolutional Neural Networks (CNNs or ConvNets) excel at learning meaningful representations of features and concepts within images. These capabilities make CNNs extremely valuable for solving problems in the image analysis domain. We can automatically identify defects in manufactur...