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!
We built a better tool for research and literature review.
Breaking documents into “chunks”, like sections and subsections, is easy for humans, but surprisingly hard for computers. In this post we explain why this is, why it’s a valuable problem to solve, and we introduce our new solution.
We want to make it possible for any expert to capture and scale their expertise.
This post describes a simple principle to split documents into coherent segments, using word embeddings.
In this blog post we describe an experiment to construct semantic trees and show how they can improve the quality of the learned embeddings in common word analogy and similarity tasks.
How can you learn a map from a German language to an English language word vectorisation model, to enable crosslingual document comparison?
Demonstrating how to generate a dataset for recommending Reddit posts based on semantic similarity.
How to create a VHD that is fully compatible with Azure from an Ubuntu Cloud Image base.
By labelling documents with the users who read them, we used fastText to hack together a “hybrid recommender” system.
Wikipedia is one of the most widely used websites globally. We built a simple extension to that displays similar pages at the top of every Wikipedia page!
In this blog post, I will create a Chrome extension that modifies this blog to set a custom background and to modify the HTML