Microsoft Technology Licensing, LLC

Hadas Bitran

Arie Friedman

Eric J Horvitz

Desney S Tan

Haim Somech

Todd E Holmdahl

Dennis Paul Schmuland

Dana Cohen Baron

Marc Eliot Davis

Dikla Dotan-Cohen

Ido Priness

Adam Tipton Berns

Oded Nahir

Uri Barash

Tal Baumel

Elad Yom-Tov

Hani Neuvirth-Telem

Ho John Lee

Jeffrey D Friedberg

Brian Bilodeau

Limor Lahiani

Gal Lavee

Oded Vainas

Amit Sebastian Hilbuch

Tamar Sidi Maoz

Aaron Toby Bornstein

Allen G Jones

Einat Gruda Idelovitch

Bert Jozef Prosper Hoorne

Omer Chechik

Aviram Fireberger

Shahar Admati

Danny Karmon

Ran Efrati

Ksenya Kveler

A method, computer program product, and computing system for processing a raw content portion to identify personal information, thus defining identified personal information; confirming the efficacy of the identified personal information; replacing the identified personal information within the raw content portion with one or more surrogates, thus defining a deidentified content portion; and performing a federated learning operation on the deidentified content portion to generate training data for a machine learning model.

System and method for federated learning

Context-aware content filtering adapted for a knowledge domain is provided. In certain examples, a classification confidence score by a classifier indicates a level of confidence that a prompt from a user is associated with the knowledge domain. The classification confidence score is compared with a threshold. When the score is below a threshold, a violation notice is provided to the user without submitting the prompt to a generative artificial intelligence (GAI) model. When the classification confidence score is above the threshold, the prompt is further processed to determine, according to rules, whether the prompt should be submitted to the GAI model. In various examples, the rules are applied to contextual information, safety score information, and intent information derived from the prompt.

Context-aware domain-specific content filtering

An online service may maintain or create data for a user, and a user may be allowed to exert control over how the data are used. In one example, there may be several categories of data, and the user may be able to specify who may use the data, and the purpose for which the data may be used. Additionally, a user may be able to see how many of his 'friends' (or other contacts) have extended trust to a particular entity, which may aid the user in making a decision about whether to extend trust to that entity. User interfaces may be provided to allow users to specify how their data are to be used.

Data policies for online services

Technology is disclosed for improving user privacy and providing user control over user-activity data collected from personal computing devices (i.e., user devices). User devices may be configured to operate in a private mode that enables a user to control, for example, which aspects of user-activity data are provided to applications and services running on their user device; to obscure or modify aspects of user-activity data so that certain applications and services, which may require this information to operate, may still function, but that the obscured information provided to these applications and services preserves user privacy or no longer may be used to identify the user; or to remove evidence of user-activity data created, monitored, reported, or otherwise collected by or on the user device while the user is operating their user device in the private mode setting.

Privacy control operation modes

A computing system for calculating a total calorie count is provided. The computing system comprising an electronic personal assistant application program executed on a client computing device, and including a purchase tracking module configured to receive notifications of purchases made for individual food items, a calorie tracking module configured to identify calorie counts associated with each purchased food item and to calculate a calorie count statistic based thereon, a calorie apportionment module configured to apportion the calorie counts of the food items to a user so that the calorie count statistic is based upon an apportioned total of the calorie counts of the food items that have been apportioned to the user; and a graphical user interface module configured to display a graphical user interface including an indicator of the calorie count statistic on a display associated with the client computing device.

Calculating calorie statistics based on purchases

A client computing device is disclosed that comprises a processor and an electronic personal assistant application program. The personal assistant application program may be configured to capture user data associated with user activities across a plurality of computer programs. The user data may be sent to a personal assistant user data interpretation engine. A health-related suggestion based on at least a subset of the user data and anonymized statistics of a user population retrieved from an aggregated knowledge base may be received. The health-related suggestion may be displayed on a display associated with the client computing device.

Client computing device health-related suggestions

A computing system comprises an electronic personal assistant application program executed on a client computing device. Included are a health insurance retriever configured to retrieve health insurance information of a user, a history combiner configured to combined aggregated histories of a plurality of users into an anonymized combined time and location-based data, and a health recommender configured to identify at least one health condition of the user, determine a health recommendation at least on the identified health condition, and output the health recommendation including the recommended health care service, providers, and an indication of insurance coverage of the recommended service at each of the providers.

Recommendations for health benefit resources

In implementations, a divergence from a pattern of detected instances of an event is identified, where the event is of a routine of a user. The identified divergence corresponds to an out of routine event. Contextual information is generated corresponding to the identified out of routine event. Furthermore, one or more recommended actions for presenting content to the user are selected based on the contextual information. An indication of the identified out of routine event, the contextual information, and the one or more recommended actions are provided to a service, which may be an application on a user device. The service can present content to the user based on the identified out of routine event, the generated contextual information corresponding to the identified out of routine event, and the selected one or more recommended actions. The service may follow or disregard any of the selected one or more recommended actions.

Service content tailored to out of routine events

A computing system is provided. The computing system includes an electronic personal assistant application server configured to determine a target location for a selected user and time, determine a group of other registered users who are or will be physically present at the target location at or around the predetermined time, determine group health data representing a health condition of the group of other registered users, the group health data being determined based on anonymous medical records statistics for the group of other registered users, the anonymous medical records statistics including biometric data sensed by at least one biometric sensor associated with at least one user computing device of one of the other registered users, identify a health risk level for the target location using the group health data, and generate an activity warning for the target location based on the health risk level.

Computing system for identifying health risk regions

A system for providing care to a ward that alerts a caregiver of the caregiver's capacity to deal competently with the ward's needs.

Caregiver monitoring system

Systems, methods, and computer-readable storage media are provided for managing policy and permissions profiles. Individuals or organizations are permitted to author profiles utilizing a profile template and publish such authored profiles for access and adoption by others. Users are able to import desired profiles and subsequently have those imported profiles applied each time he or she accesses an application or service to which the profile pertains. User interfaces from which users may view profiles associated with them, make alterations to settings of profiles associated with them, and/or select from a plurality of profiles for a particular application or service are also provided. Still further, recommendations may be provided to users for policy and permissions profiles based upon, for instance, crowd-sourcing, profiles adopted by social network connections of a user or other users that are 'like' a user, prior profile selections made by the user, and/or prior user behavior.

Managing policy and permissions profiles

Display screen with animated graphical user interface

Display screen with graphical user interface

Growing community of inventors

Ramat Hasharon, Israel

Hadas Bitran