Microsoft Technology Licensing, LLC

Courtney Sarah Cochrane

Ransom Lloyd Richardson

Michael Adam Scarpati

Benjamin Gustav Wilde

Natalie Ann Mionis

Jenna Hong

Katie Nicole Rotella

Yang He

Douglas Lane Milvaney

Manish Kumar Shukla

Aleksandr Polyakov

Paul Anthony Scudieri

Lyndsy Marie Stopa

Theo Lorrain-Hale

Lucas Rosenblatt

Jichen Yang

Anish Yatin Pimpley

Sean Gormley T Kelley

Jessica Samantha Mariscal Quintana

Yiquan Xu

Amit Dinesh Gupte

Yang Wang

Omar Basim Tuffaha

Alexey Romanov

Ryan Michael Lawrence

Christina Rose Long

Emili Koui-miclette

Susanne Duswald

Saniya Anvarovna Mazmanova

Moiz Shabbir Ghadiyali

Yishuang Chen

Manon Knoertzer

Abhijith Asok

Da Meng

A data processing system includes: a processor; a network interface; and a memory comprising programming instructions for execution by the processor to: access an electronic workspace; determine a list of changes to the workspace within a period of time; structure a query to a Large Language Model (LLM) or Artificial Intelligence (AI) engine, the query to generate for a user a summary of the changes; obtain a corresponding summary from the LLM or AI engine; and in a user interface, associate a display of the workspace with the corresponding summary to update a user as to a current state of the workspace.

Systems and methods to summarize change in an electronic workspace

The disclosed technology is generally directed to the conversion of text to tables. In one example of the technology, input text that includes at least three rows is received. A plurality of characteristics of the input text is determined. Each characteristic of the plurality of characteristics is associated with a uniformity between the rows of the input text. The plurality of characteristics includes at least one characteristic that is associated with a delimiter count. A determination is made as to whether the input text is suitable for conversion to table based on the plurality of characteristics. Upon determining that the input text is suitable for conversion to a table, a machine learning model is used to convert the input text into a table.

Intelligent table suggestion and conversion for text

A data processing system implements receiving a first textual prompt from a first user via a first user interface of a first client device, the first textual prompt includes a textual description of content to be generated by a generative model; providing the first textual prompt as a first input to the generative model to obtain as an output first collaborative content based on the first textual prompt; receiving an edited version of the first collaborative content from the first client device that includes edits to the first collaborative content provided by the first user; providing the edited version of the first collaborative content as a second input to the generative model to obtain as an output second collaborative content based on the edited version of the first collaborative content; and causing the first client device to present the second collaborative content on the first user interface.

Collaborative coauthoring with artificial intelligence

Growing community of inventors

Cambridge, MA, United States of America

Courtney Sarah Cochrane