Microsoft Technology Licensing, LLC

Lyft, Inc.

Mikhail Skobov

Christopher M Barth

Mayank Gulati

Charles Parker Spielman

Christine Mara Todorovich

Assaf Haim Shalev

Ian Todd Williams

Keyan Pishdadian

Systems and methods for improved transitioning and updating of navigations modes for multi-modal transportation routes are presented. A transportation route may be received that includes a first segment associated with a first modality and a second segment associated with a second modality. A first interface associated with the first modality may be displayed and a trigger event associated with the first segment may be detected. In response, a second interface may be displayed that is associated with the second modality.

Transition of navigation modes for multi-modal transportation

Methods and systems for improved generation of multi-modal transportation routes are provided. In one embodiment, a method is provided that includes generating a network of route segments. At least a portion of the route segments may be associated with a rideable modality. At least one route segment of the network may be updated based on a changed condition of the rideable modality. Routes may be generated, based on the network, that utilize the rideable modality and at least one of the routes may be sent to a computing device for display.

Multi-modal route generation system

Methods for directed analysis of content for storage and recall are performed by systems and apparatuses. The methods optimize search operations for content using a user-driven knowledge bank. A user selects content that is relevant or important to the user for addition to the knowledge bank, and content information about the content is determined based on user importance and context, and is also stored in the knowledge bank. Subsequent searches for the content by the user are optimized based on the content information improving accuracy of search results for the content based on more general queries and searches by the user, including natural language queries and searches. Searches and queries are performed via search engines, as well as digital assistants and search applications of user systems. The content can be added by a user from different applications, and recall of the content from different applications is performed using an API.

System and method for directed analysis of content using artifical intelligence for storage and recall

Techniques are described for automatically determining which of a plurality of target devices should be connected with a source device using data regarding ambient signals about the source device. For example, a request is received for an identifier to which a source device is to connect. Data is received describing at least one ambient signal detected by the source device. The data is compared with a plurality of target device profiles. It is determined that the data matches a target device profile of the plurality of device profiles. An identifier associated with the determined target device profile is returned.

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Seattle, WA, United States of America

Mikhail Skobov