The Multitask Unified Model is an AI-powered algorithm designed to use machine learning to deliver better search results to complex queries. Regarded as a milestone in AI, it is one of the biggest updates Google has launched to date.  A 1,000 times more powerful than BERT, Google’s Natural Language Processing update of 2019, MUM enables Google to understand language in a more semantic, contextual and human way. In fact, it not only understands language, but generates it. It can piece together different bits of information in order to give precise answers to complex search queries. Not only will Google be able to understand what people want to know better than ever, it will also be able to process the information on the web in greater depth. This means that users will be able to find relevant information, which may not necessarily mention their search term, but answers their query. MUM is multimodal, meaning it understands information across text and images. And it will expand to more modalities like video and audio in future. Being trained across 75 different languages, it is designed to develop a more comprehensive understanding of information than previous models and deliver more accurate search results. To illustrate how powerful MUM is, let’s say you’re looking for information on an obscure restaurant in Paris. Google MUM will automatically be able to translate a local French website with content about the restaurant and provide the information you’re looking for in English. And it also works in reverse. For someone who does not speak English and who needs information on visiting a city in the US, MUM will translate content into their native language. This is a complete revolution in how information is used across the internet and the level of access cultures will have to worldwide content.