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.
Sep 17 2018
Deep learning has provided extraordinary advances in problem spaces that are poorly solved by other approaches. This success is due to several key departures from traditional machine learning that allow it to excel when applied to unstructured data. Today, deep learning models can play games, detect cancer, talk to humans, and drive cars. But the differences that make deep learning power...