Project Alexandria is a research project within Microsoft Research Cambridge dedicated to discovering entities, or topics of information, and their associated properties from unstructured documents. This research lab has studied knowledge mining research for over a decade, using the probabilistic programming framework Infer.NET. Project Alexandria…
Since the DeepSpeed optimization library was introduced last year, it has rolled out numerous novel optimizations for training large AI models—improving scale, speed, cost, and usability. As large models have quickly evolved over the last year, so too has DeepSpeed. Whether enabling researchers to create…
Many of our online activities, from receiving and sending emails to searching for information to streaming movies, are driven behind the scenes by cloud-based distributed architectures. Writing concurrent software—programs with multiple logical threads of execution—is of paramount importance to scale to these growing computing needs.…
From BiT (928 million parameters (opens in new tab)) to GPT-3 (175 billion parameters (opens in new tab)), state-of-the-art machine learning models are rapidly growing in size. With the greater expressivity and easier trainability of these models come skyrocketing training costs, deployment difficulties, and even…
Is innovation another loss due to the global COVID-19 pandemic? Indicators reveal challenges to overcome—as well as opportunities to build on our collective experience gained (opens in new tab) in the last year. Measuring collaboration using network machine learning provides a powerful diagnostic tool to…
Editor’s note: This research was conducted by Sai Vemprala, Senior Researcher, and Ashish Kapoor, Partner Researcher, of Microsoft Research along with Sami Mian (opens in new tab), who was a PhD Researcher at the University of Pittsburgh and an intern at Microsoft at the time…
Azure Cognitive Search (opens in new tab) is a cloud search service that gives developers APIs and tools to build rich search experiences over private, heterogeneous content in web, mobile, and enterprise applications. It has multiple components, including an API for indexing and querying, seamless integration through Azure data ingestion, deep integration with Azure Cognitive Services, and persistent storage…
Humans perceive the world through observing a large number of visual scenes around us and then effectively generalizing—in other words, interpreting and identifying scenes they haven’t encountered before—without heavily relying on labeled annotations for every single scene. One of the core aspirations in artificial intelligence…
The purpose of the Association for the Advancement of Artificial Intelligence, according to its bylaws, is twofold. The first is to promote research in the area of AI, and the second is to promote the responsible use of these types of technology. The result was a 35th AAAI Conference on Artificial Intelligence (AAAI-21) (opens in new tab) schedule that broadens the…
In video games, nonplayer characters, bots, and other game agents help bring a digital world and its story to life. They can help make the mission of saving humanity feel urgent, transform every turn of a corner into a gamer’s potential demise, and intensify the…
Editor’s note: This post and its research are the result of the collaborative efforts of a team of researchers comprising former Microsoft Research Engineer Hadi Salman (opens in new tab), CMU PhD student Mingjie Sun (opens in new tab), Researcher Greg Yang, Partner Research Manager…
At Microsoft Bing, our mission is to delight users everywhere with the best search experience. We serve a diverse set of customers all over the planet who issue queries in over 100 languages. In search we’ve found about 15% of queries submitted by customers have…
