The new Weather Trends page is a powerful feature which draws on up to 70 years of global weather history. It can help users learn how their recent weather compares with the past by year, month, or even by day. Historical averages and detailed records show how many rainy, snowy, cloudy, or sunny days there typically are this month, and visualization tools such as innovative new pie charts make it easier to understand and compare the data ..read more

Today’s search engines are powerful tools that help us find information on the web, but sometimes they fall short of our expectations. When we have complex, nuanced, or specific questions, we often struggle to find the answers we need. We ourselves know what we’re looking for, but the search engine just doesn’t seem to understand. That's why we created Deep Search, a new Microsoft Bing feature that provides even more relevant and comprehensive answers to the most complex search queries. Deep Search is not a replacement for Bing's existing web search, but an enhancement that offers the option ..read more

Today, in addition to celebrating the first year of Microsoft Copilot, we announced several new Copilot features that are beginning to roll out. We’re excited to give you a more detailed glimpse into some of these features. GPT-4 Turbo – Soon, Copilot will be able to generate responses using OpenAI's latest model, GPT-4 Turbo, enabling you to tackle more complex and longer tasks such as writing code and more. This model is currently in testing with select users and will be widely integrated into Copilot in the coming weeks. New DALL-E 3 Model – You can now use Copilot to create images tha ..read more

Today, the Turing team is excited to go into detail on how Turing Bletchley v3, a new multilingual vision-language foundation model, is used across Microsoft products. This model is the latest version of Turing Bletchley – our series of multilingual multimodal foundation models which understand more than 90 languages. About two years ago we introduced Turing Bletchley v1 to the world via our blog post. Turing Bletchley v1 was among the first multilingual vision-language models – importantly these allow performant image search in both popular and low-resource languages. Since then, we have iter ..read more

As we announced earlier this week, with Bing Image Creator you can now turn words into pictures to truly express your imagination, giving you access to infinite image possibilities right from within Bing. A vivid dream, a birthday invitation to fit a unique theme, the new concept you’re trying to land at work. These are personal and specific. These are things that require a unique image to express your unique idea. Even better is that you can ask for these pictures in the flow of your conversation with the new Bing chat.  Much like in my first blog about Building the New Bing, I’d ..read more

A year and a half ago, I wrote an article suggesting that search was far from a solved problem, and that in fact it was poised for a revolution. I suggested that by applying deep learning models and making search more modern and intuitive, we could significantly improve the experience for our users. I’m thrilled to see that we are making a large step forward towards this vision with the recent announcement of the new Bing. We’ve received many questions in the last couple of weeks of the current preview, so I’d like to share a little bit more about the new Bing and how it came to be. Behind th ..read more

- By Eric Horvitz, Chief Scientific Officer, and Saurabh Tiwary, Corporate VP and Technical Fellow, Microsoft Turing  The AI research community is focusing attention on large language models (LLMs) given their impressive performance with difficult tasks and value in useful applications. The capabilities of the models have stimulated many research questions: How do these models work and what do they learn? How can we leverage their potential for new innovations and discoveries? How can we mitigate potentially harmful behaviors? These and many other questions are inspiring new and challengi ..read more

Today, we are thrilled to announce that the most recent addition to our Turing Universal Language Representation Model family (T-ULRv6) has achieved the 1st position on both the Google XTREME and GLUE leaderboards, demonstrating that a single multilingual model can achieve state-of-the-art capabilities in both English and Multilingual understanding tasks. This marks the first time that a multilingual language understanding model has achieved the top position on both leaderboards, outperforming models that are specialized for either English or multilingual tasks and thereby helping lift the cur ..read more

The Bing search stack is built for speed at all layers. Fast performance delights users and drives loyalty and engagement. This blog presents the key performance techniques used by Bing’s front-end to deliver and render search results pages with world-class speed. Front-End Delivery Architecture Performance starts with architecture. Search queries to Bing return a “search results page” that is generated using Server-Side Rendering (SSR). The delivery architecture is shown below. Figure 1: Front-End Delivery Architecture Chunked Delivery The search results page HTML is delivered to the client ..read more

Have you ever experienced that feeling when you recognize a person, food, animal, but just can't put a name to it? Microsoft Bing has a feature that identifies people, animals, landmarks, food items in a given image. This feature saves you the hassle of having to keep searching to find your answer and prevents you walking away disappointed because you couldn't quite put your finger on it…   Let Bing connect the dots for you!   People Can you recall a time where you couldn't quite remember the name of a specific actor/actress in that new movie you started watching? Or when you search ..read more