This series showcases some of the amazing work of our pioneers. From building mechanical twins for optimising manufacturing processes to solving racial injustice at universities.
This post is the fifth of a series of posts showcasing some of the amazing research projects from our community of Lateral pioneers.
This post is the fourth of a series of posts showcasing some of the amazing research projects from our community of Lateral pioneers.
Need help getting started? Here we have created content around some of the most common questions from the community. Dive in and hit the ground running.
Read this guide to learn more about the Super Search function, allowing you to search across all your documents at once.
This guide gives you 3 ways of structuring your concepts in Lateral; Research Themes, Structural Concepts, Keywords.
Get a quick intro to Lateral or explore some of the features in more detail. Stay tuned, as we will be adding new videos over the coming weeks, responding to the questions you've been asking!
What kind of language do British parliamentarians use? We used the Lateral API to provide an overview by clustering debates and creating word clouds.
We migrated our multiple PostgreSQL databases between cloud providers. Key was to keep downtime to an absolute minimum. This is what we did using Londiste.
Previously we wrote about how machines can learn meaning. An exciting opportunity of this approach is that it also enables teaching machines new languages.
Today we want to show how you can make a spreadsheet based personal research assistant in just a few minutes using Blockspring and Lateral.
Announcing our Article Extractor API! Rapidly extract the text as well as image, title, keywords, author and more from any article and blog post URLs.
We’ve been doing occasional work on an approximate nearest neighbours (ANN) vector search tool, written in Python. Today, we are open sourcing it.
pjax is a jQuery library created by Chris Wanstrath. As we recently decided to use it, I thought it might be valuable to share our experience.
The arXiv is a repository of over 1 million preprints. It is truly open access, and excellent for testing language modelling / machine learning prototypes.
Which public companies work with solar technology, or are similar to Tesla? Find out quickly, using the Lateral API, serving publicly accessible data from Bloomberg.
This article is about our NewsBot chrome extension, the fastest way to find related articles.
Computers consist of on/off switches and process meaningless symbols. So how is it that we can hope that machines learn meaning of words and documents?