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.
Jun 26 2018
by — Today’s machines can identify objects in photographs, predict loan repayments or defaults, write short summaries of long articles, or recommend movies you may like. Up until now, machines have achieved mastery through laser-like focus; most machine learning algorithms today train models to master one task, and one task only. We are excited to introduce multi-task learning in our upcoming webina...