The Hoff stopped by Fast Forward Labs!
More from the Blog
Dec 19 2014
We’re very pleased to announce our second research report topic will be realtime stream analysis, with a focus on probabilistic data structures. Using these techniques, we’re able to build systems that enable extremely fast and memory efficient computation over very large data sets. For example, imagine being able to do comparisons between two sets of billions of items in milliseco...
Apr 1 2015
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.
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...