Microsoft Technology Licensing, LLC

Groove Networks, Incorporated

Talko Inc.

Ransom Lloyd Richardson

Raymond Edward Ozzie

Jason Evan Schleifer

John R Burkhardt

Benjamin Gustav Wilde

Steven E Lees

Edward J Fischer

Michael Adam Scarpati

Aleksandr Polyakov

Richard Zack Speyer

Kenneth G Moore

Courtney Sarah Cochrane

Jack E Ozzie

Paul Anthony Scudieri

Dana Zircher

Lyndsy Marie Stopa

Hugh Francis Pyle

Matthew Jason Pope

Jenna Hong

Natalie Ann Mionis

Howard Benjamin Nager

Michael Jeffers

Robert Sean Slapikoff

Jichen Yang

Neil Bousquet Ozzie

Katie Nicole Rotella

Christopher Norman

Yang He

Yi Zheng

Richard Malcolm Banks

Douglas Lane Milvaney

Manoj Sharma

Rui Hu

Gregory Alan Howard

Manish Kumar Shukla

Michael M Santos

Theo Lorrain-Hale

Thomas D Sanfilippo

Siqing Chen

Sudarshan Sundar

Yimeng Li

Lucas Rosenblatt

Anish Yatin Pimpley

Robert A Lomme, Jr

William Nain Saez

Jim Jianping Wang

Matthew Stephen Howard

Tejprakash Singh Gill

Sean Gormley T Kelley

Sidhika Varshney

Yang Wang

Omar Basim Tuffaha

Ryan Michael Lawrence

Christina Rose Long

Yash Ravi Punjabi

Emili Koui-miclette

Susanne Duswald

Moiz Shabbir Ghadiyali

Yishuang Chen

Da Meng

Saniya Anvarovna Mazmanova

Elijah John Scherrer

Jessica Samantha Mariscal Quintana

Alexey Romanov

Joe A Herzog

Raymond C Li

Juan Antonio Karmy Tacla

Priya Tushar Nakhre

Anshul Basia

David Milićević

Tracy A Childers

Jason Peter Campoli

Jacob Lee Sanchez

Manon Knoertzer

Jinnie Park

Zeyu Wu

Abhijith Asok

Yiquan Xu

Pramod Kumar Gupta

Amit Dinesh Gupte

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

A system and method for identifying relevant content from other documents and presenting candidate documents/content in a document authoring application is described. A computer-implemented method includes performing an analysis of text of a document being authored by a user with a document authoring application, searching a document library for content elements and documents based on the analysis of the text, identifying candidate documents and candidate content based on the searching, presenting a list of candidate documents or candidate content with the document authoring application, receiving a selection of a candidate document or candidate content from the list in the document authoring application, and including an instance of the selected candidate document or candidate content in the document.

Content element recommendation system

A system and method for summarizing suggested content and sharing the summarized suggested content is described. In one aspect, a computer-implemented method includes performing an analysis of text of a document, searching a document library for content elements and documents based on the analysis of the text, identifying candidate documents and candidate content based on the searching, presenting a list of candidate documents or candidate content with the document authoring application, receiving a selection of a candidate document or candidate content from the list in the document authoring application, and providing the selected candidate document to a collaborative content sharing platform, the collaborative content sharing platform configured to generate a graphical user interface that displays a list of shared documents, the shared documents includes candidate documents selected by one or more users of a group of users that share access to the collaborative content sharing platform.

Collaborative content recommendation platform

Methods, systems, and computer storage media for providing action-recommendations (e.g., save action, collaboration action, and upload action) using cloud system operations in a cloud system. For example, action-recommendations are predicted using usage data of applications and communicated to a user (e.g., via a prompt) such that the user elects to perform or not perform the action-recommendation. In operation, usage data for an application and an action-recommendation profile are accessed. Determining that an action-recommendation should be generated is based on the usage data and the action-recommendation profile. The determination is further based on action scores and thresholds (e.g., save action, collaboration action, upload action). When the action scores meet certain thresholds, the action-recommendation is generated as a save-action-recommendation, a collaboration-action-recommendation, or an upload-action-recommendation. Based on generating the action-recommendation, an action recommendation interface element (e.g., an action prompt or action dialog) is generated to perform a corresponding action.

Prediction-based action-recommendations in a cloud system

Methods, systems, and computer-readable media are provided to allow multiple server resources to share a single connection to a client device. The single connection may be maintained between a notification queue on the server side and the client device. Multiple server resources share the notification queue. When a resource changes or a service wants to communicate information to a client, corresponding messages are sent to the notification queue over a connection within the data center. Once in the notification queue, the updates are communicated to the client device.

Subscribing to multiple resources through a common connection

Methods and systems for integrated communications are pro-vided. In one embodiment, a user input is received via a user interface. Media data is received in response to receiving the user input. The media data is streamed to one or more communication system users. In some embodiments, the media data is posted to a shared virtual space associated with a communication system channel. Other methods and systems are described.

Communication system

Methods, systems, and computer storage media are provided for communicating with client devices by way of a proxy device. An indication is received that multiple client devices are attempting to communicate with a shared service over a wide area network, such as the Internet. A server provides a first client device with a list of other client devices that are currently in communications with the shared service. Once a proxy device has been selected, the server receives an identification of that proxy device from the first client device so that the server knows that future communications from the first client device will be received through the proxy device. Data is then communicated to and from the shared service by way of the proxy device.

Selection of proxy device for connection pooling

Methods and systems for integrated communications are provided. In one embodiment, a user input is received via a user interface. Media data is received in response to receiving the user input. The media data is streamed to one or more communication system users. In some embodiments, the media data is posted to a shared virtual space associated with a communication system channel. Other methods and systems are described.

Methods, system, and computer storage media are provided for moderating actions performed on shared data objects. Rule enforcement logic is received for an application that is associated with one or more data objects shared between various clients. The rule enforcement logic is stored at a data server that also stores data associated with data objects. A moderator, also stored on the data server, is used to enforce the rule enforcement logic corresponding to the application when a client attempts to perform an action to a data object associated with the application.

Moderation of shared data objects

Methods, systems, and computer-readable media for manipulating in-memory data entities are provided. Embodiments of the present invention use a Representational State Transfer ('REST') web service to manipulate the in-memory data entities. In one embodiment, a 'snap shot' is taken of the in-memory data entities at a point in time to create representations of the entities. A hierarchy of the representations is built. The hierarchy is used to make the entities addressable via a URI. Embodiments of the invention may then map the entity representations in the hierarchy to the entities. An embodiment of the invention uses handlers to process a REST style request addressed to an entity representation. The handler reads the command and determines whether the command is authorized for performance on the entity and performs that command, if appropriate.

Providing access to shared state data

Methods, system, and computer storage media are provided for enabling cross-language object sharing by providing shareable typename information agreed upon by clients that wish to share object with each other. A first client creates an object by communicating a create request, which includes typename information associated with the object. The object is created and the typename information, along with data and properties associated with the object, is stored. A second client requests to open that object. The data, properties, and typename information stored in associated with the object is communicated to the second client so that the second client is able to create a correct instance of the object.

Cross language object sharing

Growing community of inventors

Acton, MA, United States of America

Ransom Lloyd Richardson