CompaSciences

To create a more comprehensive personalization algorithm, we built a machine-learning model that relates article text to reader-selected…

Automatically detecting Fake News poses challenges that defy existing content-based analysis approaches.

Pour lutter contre la désinformation, dix médias de service public européens de premier ordre, dont France Télévisions, vont partager des contenus en ligne traduits en plusieurs langues. Pour lutter...

Learn about the Semantic Web and its ultimate goal to enable machines to better manipulate information on our behalf.

AI doesn’t think—it evolves.

by Frederic Filloux

Buster.AI provides an API for auditing text content in French and English. We help editors, media, brands, and content aggregators to write insightful and truthful content.

How Google May use semantic topic modeling to understand what a page on the web is about, and to rank that page in search results

An experimental tool helps researchers wade through the overwhelming amount of coronavirus literature to check whether emerging studies follow scientific consensus. Why it matters: Since the start of the coronavirus pandemic, there has been a flood of relevant preprints and papers, produced by people with varying degrees of expertise and vetted through varying degrees of…

Learn about the latest ways Google is using AI to understand all the world's information and be the most helpful and reliable way to search.

Using data science to predict the emotional resonance of New York Times articles for better ad placement.

We’ve trained a neural network called DALL·E that creates images from text captions for a wide range of concepts expressible in natural language.