Microsoft Technology Licensing, LLC

Yang He

Ransom Lloyd Richardson

Michael Adam Scarpati

Natalie Ann Mionis

Courtney Sarah Cochrane

Douglas Lane Milvaney

Benjamin Gustav Wilde

Manish Kumar Shukla

Aleksandr Polyakov

Lyndsy Marie Stopa

Jenna Hong

Lucas Rosenblatt

Anish Yatin Pimpley

Katie Nicole Rotella

Jichen Yang

Sean Gormley T Kelley

Amit Dinesh Gupte

Yishuang Chen

Manon Knoertzer

Da Meng

Saniya Anvarovna Mazmanova

Jessica Samantha Mariscal Quintana

Abhijith Asok

Yiquan Xu

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

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Newton, MA, United States of America

Yang He