Search Quality Insights

The new Climate Insights Engine by MSN Weather leverages up to 70 years of detailed historical weather data to track temperature, precipitation, humidity, and wind across the globe.  This engine compares your local weather to historical trends to determine how unusual recent weather has been. When something out of the ordinary happens, the system will notify you to keep you informed about your local climate.  

Microsoft Start’s new AI forecast model capabilities have unlocked the ability for users around the globe to experience high-quality, up-to-the-minute forecasts and maps of both cloud and precipitation together while also filling in gaps for data availability.  

In a newly published article on ArXiv, the research team at Weather from Microsoft Start has shown how AI weather models compare to the latest state-of-the-art European Centre for Medium-range Weather Forecasts (ECMWF) extended-range ensemble. Instead of using a single type of AI model, we combine five different trained models comprised of three different deep learning architectures together to produce some promising forecasts one month in advance.

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.

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 for a deeper and richer exploration of the web.  

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.

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. You might already be using Turing Bletchley v3 when searching for images via Bing, and in this post, we will share more details regarding the model which powers the next-generation multimodal and multilingual scenarios at Microsoft.

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.

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.

The advantages of large language models are undeniable due to the capabilities achieved and opportunities ahead. We must also consider the benefits and potential harms coming via uses of these models. In 2021, we founded the Microsoft Turing Academic Program (MS-TAP) that provides academic teams with access to some of the world’s largest language models. The program reflects our belief in the importance of having diverse and talented teams from academia working with these models to better understand and improve behaviors.