Google has announced that it is now using its BERT algorithm to power related topics and IT release notes. It is an incredible achievement in AI and could be considered one of the stepping stones for Google’s AI and how it will shape the future of search results.

BERT Algorithm Enhances Related Topics for Better Search Results

Google has been using the BERT algorithm to power its search results since 2019. It uses natural language processing (NLP) to analyze what a search query is about and its context and then show accurate results based on the analysis. 

Google is using BERT to improve its related topics feature. It redefines the way a user searches. So, for example, if you search for “Can you get medicine someone prescription,” Google will consider “someone” not as a typo but understand the context and show results with – articles on “Can a friend or family member pick a prescription for you?” In addition, Google will display a list of related topics that are more relevant and useful.

IT Release Notes Now Powered by BERT Algorithm

In addition to enhancing related topics, Google is also using BERT to power its IT release notes. These notes provide information about updates and changes to Google’s products and services. By using BERT to analyze the language and context of these notes, Google is able to provide more detailed and accurate information to users.

Google Continues to Invest in Machine Learning and Natural Language Processing

Google’s use of the BERT algorithm for related topics and IT release notes is the latest example of its commitment to investing in machine learning and natural language processing. The search engine giant is trying to make life a lot more easier for users by improving its search results and showing more relevant information.