Microsoft Technology Licensing, LLC

Amber Dawn Hoak

Spencer G Fowers

David Anthony Tittsworth

Christopher M White

Darren Keith Edge

Weiwei Yang

Kateryna Lytvynets

Systems and methods for providing enhanced teleconferencing. An example method includes receiving audio streams from a plurality of client devices of participants of a teleconference; converting the audio streams for a first conversation within the teleconference into first text; converting the audio streams for a second conversation within the teleconference into a second text; analyzing the first text to identify one or more topics being discussed in the first conversation; analyzing the second text to identify one or more topics being discussed in the second conversation; and presenting, in a teleconference user interface, at least one of the one or more topics being discussed in the first conversation or the one or more topics being discussed in the second conversation.

Spatial audio conversational analysis for enhanced conversation discovery

Systems and methods for enhanced teleconferencing. An example method includes generating a teleconference interface with a plurality of user-controlled participant interface elements representing participants of the teleconference; identifying a first conversation based on positions, in the teleconference interface, of a first subset of the participant interface elements; identifying a second conversation based on the positions, in the teleconference interface, of a second subset of the participant interface elements; accessing supplemental data, from at least one of a networking or social media database, for the participants of the teleconference; and presenting, within the participant interface elements, the supplemental data.

Variable-volume audio streams

A system and method for managing operation of electrical devices includes a control module that monitors status of multiple sources of electrical power to one or more electrical devices and electrical usage of the one or more electrical devices that receive electricity from the source of electrical power. The operation of the one or more electrical devices is managed using a machine learning model that forecasts status of the at least one source of electrical power and generates operational rules for the one or more electrical devices from historical values of control parameters of the one or more electrical devices, the status of the source of electrical power, and the electrical usage of the one or more electrical devices. The system may optimize renewable energy utilization, power grid stabilization, cost of electrical power usage, and the like.

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Silverdale, WA, United States of America

Amber Dawn Hoak