Google Inc.

Microsoft Technology Licensing, LLC

Sharvil A Nanavati

Michael J Lebeau

Landy Wang

Rene Antonio Vega

Matthew Douglas Hendel

Ernest S Cohen

John Te-Jui Sheu

Casey Kwok Ching Ho

Fred Peter Gilbert

Gregory Matthew Marra

Benjamin David Eidelson

Michael J LeBeau

Jason Prado

Scott Jenson

Jerry Howard Morrison

Sanjay Gajanan Mavinkurve

Ye-Jeong Kim

Aaron David Kemp

Punit Singh Soni

Casey Ho

Jonathan Gordon Sharkey

Will Dzierson

Sean Liu

Anish Acharya

Jeson Patel

Pauline Seng

A environmental reproduction system multiplexes information from a variety of sources to reproduce a target environment having visual and/or auditory impediments. The visual impediments may include one or more environmental conditions, such as rain, sleet, snow, darkness, brightness, or any other type of environmental condition. The auditory impediments may include loud noises, such as construction noises, or sounds that are too low, such as an emergency vehicle sound not being heard. The environmental reproduction system may determine the environmental condition from one or more sources, such as an internal microphone, an external microphone, temperature sensor, a camera, a weather receiver, or other types of sensors. The environmental reproduction may be in communication with an environmental condition database and operative to apply a signal processing action to a recording (video and/or audio recording) of the target environment based on the determined environmental condition.

Environmental reproduction system for representing an environment using one or more environmental sensors

A system and machine-implemented method for differentiating participants in a group conversation within a graphical user interface of an electronic device of a user, via displaying a collection of contact icons on the graphical user interface, each contact icon respectively corresponding to one of a plurality of participants in a group conversation, wherein the group conversation provides for sharing communication messages among the plurality of participants including the user; determining which of the plurality of participants are currently accessing the group conversation; and differentiating, in the graphical user interface, display of the contact icons corresponding to those participants determined to be currently accessing the group conversation from the remaining contact icons.

Graphical user interface display which differentiates among participants in a group conversation

In general, the subject matter described in this specification can be embodied in methods systems, and program products for determining a change in a mode of transportation. A change in a mode of transportation of the mobile computing device may be determined by determining that a speed of the mobile computing device has changed. A first geographical location is stored as a geographical location of the mobile computing device that corresponds to the change in mode of transportation. A graphical indication of the first geographical location is displayed. The graphical indication of the first geographical location is different than graphical indications for one or more other geographical locations of the mobile computing device at one or more other times. The one or more other geographical locations were not determined to correspond to a change in mode of transportation.

Determining a geographical location

A system and machine-implemented method for presenting profile information on an electronic device of a user, the profile information being associated with a contact of the user, via displaying a contact icon on a graphical user interface of the electronic device, the contact icon corresponding to a contact of the user; receiving user input which specifies selection of the contact icon; and displaying profile information, obtained from a profile associated with the contact corresponding to the selected contact icon, on the graphical user interface.

Graphical user interface which displays profile information associated with a selected contact

Various mechanisms are disclosed for improving the operational efficiency of a virtual translation look-aside buffer (TLB) in a virtual machine environment. For example, one mechanism fills in entries in a shadow page table (SPT) and additionally, speculatively fills in other entries in the SPT based on various heuristics. Another mechanism allows virtual TLBs (translation look-aside buffers) to cache partial walks in a guest page table tree. Still another mechanism allows for dynamic resizing of the virtual TLB to optimize for run-time characteristics of active workloads. Still another mechanism allows virtual machine monitors (VMMs) to support legacy and enlightened modes of virtual TLB operation. Finally, another mechanism allows the VMM to remove only the stale entries in SPTs when linking or switching address spaces. All these mechanisms, together or in part, increase the operational efficiency of the virtual TLB.

Operational efficiency of virtual TLBs

Methods and systems for determining dance steps based on music and/or other dancers. A wearable computing system may include a head mounted display (HMD). The wearable computing system may receive a media sample including an audio sample associated with a song and/or a video sample associated with one or more dancers performing a dance. The wearable computing system may communicate the media sample to a content analysis server that may include a content identification module. The content identification module may provide information associated with a content of the media sample, such as identification of the song and the dance, to the wearable computing system. The wearable computing system may determine dance steps corresponding to the content of the media sample and may generate a display of the dance steps on the HMD.

Determination of dance steps based on media content

Various operations are disclosed for improving the operational efficiency of a virtual translation look-aside buffer (TLB) in a virtual machine environment. For example, operations are disclosed that allow for determination of whether present entries in shadow page tables (SPTs) are stale by comparing shadowed guest page table (GPT) entries against snapshots taken when the entries were cached. Other operations are disclosed that allow a virtual machine monitor (VMM) to access shadow page table trees (SPTTs) by walking trees in software or in hardware. Still other operations are disclosed allowing the VMM to use a hash table to relate GVA ranges to SPTs that map them, thus significantly reducing the cost of having to walk each SPTT in order to invalidate desired GVA(s). And, finally, operations are disclosed allowing the VMM to determine global GVA ranges by checking a bitmap, when invalidating global GVAs.

Reduction of operational costs of virtual TLBs

A mobile device is operative to change from a first operational mode to a second or third operational mode based on a user's natural motion gesture. The first operational mode may include a voice input mode in which a user provides a voice input to the mobile device. After providing the voice input to the mobile device, the user then makes a natural motion gesture and a determination is made as to whether the natural motion gesture places the mobile device in the second or third operational mode. The second operational mode includes an augmented reality display mode in which the mobile device displays images recorded from a camera overlaid with computer-generated images corresponding to results output in response to the voice input. The third operational mode includes a reading display mode in which the mobile device displays, without augmented reality, results output in response to the voice input.

Switching between a first operational mode and a second operational mode using a natural motion gesture

Various operations are provided that improve the scalability of virtual TLBs in multi-processor virtual machines, and they include: implicitly locking SPTs using per-processor generation counters; waiting for pending fills on other virtual processors to complete before servicing a GVA invalidation using the counters; write-protecting or unmaping guest pages in a deferred two-stage process or reclaiming SPTs in a deferred two-stage process; periodically coalescing two SPTs that shadow the same GPT with the same attributes; sharing SPTs between two SASes only at a specified level in a SPTT; flushing the entire virtual TLB using a generation counter; allocating a SPT to GPT from a NUMA node on which the GPT resides; having an instance for each NUMA node on which a virtual machine runs; and, correctly handling the serializing instructions executed by a guest in a virtual machine with more than one virtual processor sharing the virtual TLB.

Scalability of virtual TLBs for multi-processor virtual machines

Growing community of inventors

Dundas, Canada

Sharvil A Nanavati