Skip to main content
Hero Image


DALL-E 3 now available in Bing Chat and, for free!

Oct 3, 2023

We’re excited to share that DALL-E 3, the latest and most capable text-to-image model from OpenAI, is now generally available to everyone within Bing Chat and—for free!

Expanding Our AI Partnership with Meta

Sep 27, 2023

We're thrilled to announce that we’ve begun to work with Meta to integrate Bing into Meta AI’s chat experiences enabling more timely and up-to-date answers with access to real-time search information.

A new wave of innovation in Bing Chat and SwiftKey

Sep 22, 2023

More details on new feature updates to AI-powered SwiftKey.

Announcing Microsoft 365 Copilot general availability and Microsoft 365 Chat

Sep 21, 2023

Today at an event in New York, we announced our vision for Microsoft Copilot—a digital companion for your whole life—that will create a single Copilot user experience across Bing, Edge, Microsoft 365, and Windows.

Bing Preview Release Notes: Bing Chat Enterprise in Windows Copilot

Sep 1, 2023

Release Notes providing updates on new features that have fully shipped to all Bing Chat users as of today.

Turing Bletchley v3 - A Vision-Language Foundation Model

Aug 29, 2023

Detail on how Turing Bletchley v3, a new multilingual vision-language foundation model, is used across Microsoft products.

Celebrating 6 months of the new AI-powered Bing

Aug 7, 2023

It’s been six months since we reinvented search with the new AI-powered Bing and Edge, how much the game has changed so far.

Bing at Microsoft Build 2023: Continuing the Transformation of Search

May 23, 2023

Three key updates for Bing: The integration of Bing Search into ChatGPT, a common plugin platform with OpenAI and new plugin partners, and the expanded integration of Bing Chat across Microsoft’s copilots.

Continuing to deliver new AI innovation in Bing and Edge this week

May 16, 2023

Next steps with new mobile-first experiences that match our desktop capabilities and bring visual updates across Bing.

Easily access the new AI-powered Bing across your favorite mobile apps

Apr 13, 2023

Powerful updates to SwiftKey that put the Bing AI experience one touch away across any iOS or Android mobile experience that supports a third-party keyboard.

Driving more traffic and value to publishers from the new Bing

Mar 29, 2023

The vision of moving beyond Search to create your copilot for the Web is landing broadly in the market.

Building the New Bing: Image Creator

Mar 23, 2023

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.

Create Images with Your Words – Bing Image Creator Comes to the new Bing

Mar 21, 2023

Today we’re taking the chat experience to the next level by making the new Bing more visual.

Confirmed: the new Bing runs on OpenAI’s GPT-4

Mar 14, 2023

We are happy to confirm that the new Bing is running on GPT-4, which we’ve customized for search.

Introducing the new Bing in Windows 11

Feb 28, 2023

Today, Microsoft announced a significant update to Windows 11, featuring an array of features that harness the power of AI and improve the way people get things done on their PC.

Building the New Bing

Feb 21, 2023

By applying deep learning models and making search more modern and intuitive, we could significantly improve the experience for our users.

Reinventing search with a new AI-powered Microsoft Bing and Edge, your copilot for the web

Feb 7, 2023

We’re launching an all new, AI-powered Bing search engine and Edge browser, available in preview now at

Microsoft announces new supercomputer, lays out vision for future AI work

May 19, 2020

Microsoft has built one of the top five publicly disclosed supercomputers in the world, making new infrastructure available in Azure to train extremely large artificial intelligence models.

Microsoft Search: Search your document like you search the web

May 19, 2020

We’re excited to share an early look at how we’re using Microsoft Search to make searching within your document easier and more natural.

Better Document Previews using the Microsoft Turing Model for Natural Language Representations

May 19, 2020

Knowledge workers spend close to 20% of their time searching for and gathering information. When using document management systems such as Microsoft OneDrive and SharePoint people find themselves looking at directories full of documents. Interacting with such a list of documents can be time-consuming without a mechanism for previewing the documents. The Inside Look feature in OneDrive and SharePoint helps people get to relevant documents quickly by providing a short summary of documents as previews.

Assistive AI Makes Replying Easier

May 19, 2020

Sending replies to email or chat messages is a common activity and people spend considerable amount of time on it. By harnessing the power of AI, we are helping people reply faster by intelligently suggesting replies which can be used to easily respond to messages with a simple click or tap on the device.

AI at Scale in Bing

May 19, 2020

Every day, users from all over the world perform hundreds of millions of search queries with Bing in more than 100 languages. Whether this is the first or the millionth time we see a query, whether the best results for a query change every hour or barely change at all, our users expect an immediate answer that serves their needs. Bing web search is truly an example of AI at Scale at Microsoft, showcasing the next generation of AI capabilities and experiences.

Turing-NLG: A 17-billion-parameter language model by Microsoft

February 10, 2020

Turing Natural Language Generation (T-NLG) is a 17 billion parameter language model by Microsoft that outperforms the state of the art on many downstream NLP tasks. We present a demo of the model, including its freeform generation, question answering, and summarization capabilities, to academics for feedback and research purposes. - This summary was generated by the Turing-NLG language model itself.

ZeRO & DeepSpeed: New system optimizations enable training models with over 100 billion parameters

February 10, 2020

The latest trend in AI is that larger natural language models provide better accuracy; however, larger models are difficult to train because of cost, time, and ease of code integration. Microsoft is releasing an open-source library called DeepSpeed, which vastly advances large model training by improving scale, speed, cost, and usability, unlocking the ability to train 100-billion-parameter models. DeepSpeed is compatible with PyTorch.

Learning web search intent representations from massive web search logs

Published July 21, 2019

Have you ever wondered what happens when you ask a search engine to search for something as seemingly simple as “how do you grill salmon”? Have you found yourself entering multiple searches before arriving at a webpage with a satisfying answer? Perhaps it was only after finally entering “how to cook salmon on a grill” that you found the webpage you wanted in the first place, leaving you wishing search engines simply had the intelligence to understand that when you entered your initial search, your intent was to cook the salmon on a grill.

Microsoft makes it easier to build popular language representation model BERT at large scale

Published July 17, 2019

The open sourcing of our recipe to pre-train BERT (Bidirectional Encoder Representations from Transformers) built by the Bing team, including code that works on Azure Machine Learning, so that customers can unlock the power of training custom versions of BERT-large models using their own data. This will enable developers and data scientists to build their own general-purpose language representation beyond BERT.

As search needs evolve, Microsoft makes AI tools for better search available to researchers and developers

Published May 15, 2019

Only a few years ago, web search was simple. Users typed a few words and waded through pages of results. Today, those same users may instead snap a picture on a phone and drop it into a search box or use an intelligent assistant to ask a question without physically touching a device at all. They may also type a question and expect an actual reply, not a list of pages with likely answers. These tasks challenge traditional search engines, which are based around an inverted index system that relies on keyword matches to produce results.

Towards More Intelligent Search: Deep Learning for Query Semantics

Published May 1, 2018

Deep learning is helping to make Bing’s search results more intelligent. Here’s a peek behind the curtain of how we’re applying some of these techniques.