Microsoft Technology Licensing, LLC

Nicholas Becker

Shawn Cantin Callegari

Umesh Madan

Chipalo Street

Leo Moreno Betthauser

Devis Lucato

Shane M Chism

Daniel L Mace

Adrian Bonar

Samuel Edward Schillace

Eric Paul Douglas

Brian Scott Krabach

Tara Eve Walker

Mario Davis Goertzel

Lloyd Geoffrey Greenwald

LeRoy F Miller

Aditi Kamlesh Shah

Alexander Chao

Abby Harrison

Gina Elizabeth Triolo

Mark Karle

Methods and systems for generating completely automated public Turing test (CAPTCHA) images are provided. In some examples, a method includes generating a plurality of images using a generative imaging model, providing the plurality of images to a user with a description that corresponds to one of a similarity or difference between the plurality of images, receiving a selection of an image of the plurality of images, determining if the selection is correct based on the provided description, and outputting an indication of whether the selection is correct.

Generating captchas using generative imaging models

In some examples, a method of generating a security report is provided. The method includes receiving a user query and security data, and providing the user query and security data to a semantic model. The semantic model generates one or more first embeddings. The method further includes receiving, from a data model, one or more second embeddings. The data model is generated based on historical threat intelligence data. The model further includes generating an execution plan based on the one or more first embeddings and the one or more second embeddings, and returning a report that corresponds to the execution plan.

Generating security reports

In accordance with examples of the present disclosure, a collaborative platform provides a digital collaboration assistant that continuously monitors and analyzes shared meeting contents (e.g., voice, text chat messages, shared links and documents, presentation materials, and the like) by participants during a collaborative meeting in near real-time, periodically updates a structure summary log of the meeting contents that are deemed important during the collaborative meeting, and interacts with the participants throughout the collaborative meeting in near real-time, for example, to answer questions or provide additional information.

Meeting insights with large language models

Growing community of inventors

Boulder, CO, United States of America

Nicholas Becker