Microsoft Technology Licensing, LLC

Xevo Inc.

Other

Microsoft Corporation

Vladimir Sadovsky

Oren Rosenbloom

Robin Andrew Alexander

Franc Camara

Michael Dean Stokes

Nathan Steven Obr

James Robert Hamilton

Lyman Cooper Partin

Joseph Ternasky

Blake D Manders

Sompong Paul Olarig

Scott Chao-Chueh Lee

Hubert Van Hoof

James Bovee

Lee Edward Prewitt

Chiuchin Chen

Keisuke Tsuchida

Samuel James McKelvie

Robert Victor Welland

Gilman Kuey Wong

John Charles Dunn

Po Yuan

Chris Lionetti

Byron Huntley Changuion

Mysore Y Jaisimha

Stephen R Handley

Richard Chia-Tsing Tong

Noah Harrison Fradin

Yonghong Guo

David M Parsons

Lev Novik

Chris Demetrios Karkanias

Moe Khosravy

Surendra Verma

Avi R Geiger

Janet Lynn Schneider

Emily Nicole Wilson

Shiv Kumar Rajpal

Myron C Thomas

Behrooz Chitsaz

David Burg

Soner Terek

Pablo Argon

Jorg-Thomas Pfenning

Michael Scott Beckerman

David Earl Heckerman

William Jefferson Westerinen

Todd L Carpenter

Oliver H Foehr

Nuria M Oliver

Sean P Nolan

Andrew Shaun Ivory

Richard S Turner, Jr

Hugh A Teegan

Edwin Arturo Heredia

Cyra S Richardson

Frank J Shu

Marc Levy

William Crow

Robert Nasry Hasbun

Victoria Elizabeth Milton

Narasimhan Ramasubramanian

Hong L Choing

Vincent Orgovan, Jr

Jonathan R Schwarz

Christopher Lionetti

Hurbert Van Hoof

Mark Levy

Scott Chau-Chueh Lee

Konstantin Roslyakov

Dan Lovinger

Spencer Shepler

Dennis Stewart W Tansley

James C Bovee

Michael S Beckeman

A method or system is capable of detecting operator behavior ('OB') utilizing a virtuous cycle containing sensors, machine learning center ('MLC'), and cloud based network (&#x201c;CBN&#x201d;). In one aspect, the process monitors operator body language captured by interior sensors and captures surrounding information observed by exterior sensors onboard a vehicle as the vehicle is in motion. After selectively recording the captured data in accordance with an OB model generated by MLC, an abnormal OB (&#x201c;AOB&#x201d;) is detected in accordance with vehicular status signals received by the OB model. Upon rewinding recorded operator body language and the surrounding information leading up to detection of AOB, labeled data associated with AOB is generated. The labeled data is subsequently uploaded to CBN for facilitating OB model training at MLC via a virtuous cycle.

Method and system for providing behavior of vehicle operator using virtuous cycle

Techniques for block storage using a hybrid memory device are described. In at least some embodiments, a hybrid memory device includes a volatile memory portion, such as dynamic random access memory (DRAM). The hybrid memory device further includes non-volatile memory portion, such as flash memory. In at least some embodiments, the hybrid memory device can be embodied as a non-volatile dual in-line memory module, or NVDIMM. Techniques discussed herein employ various functionalities to enable the hybrid memory device to be exposed to various entities as an available block storage device.

Block storage using a hybrid memory device

A method or system capable of managing automobile parking space ('APS') using containerized sensors, machine learning center, and cloud based network is disclosed. A process, in one aspect, monitors the surrounding information observed by a set of onboard sensors of a vehicle as the vehicle is in motion. After selectively recording the surrounding information in accordance with instructions from a containerized APS model which is received from a machine learning center, an APS and APS surrounding information are detected when the vehicle is in a parked condition. Upon rewinding recorded surrounding information leading up to the detection of APS, labeled data associated with APS is generated based on APS and the recorded surrounding information. The process subsequently uploads the labeled data to the cloud based network for facilitating APS model training at the machine learning center via a virtuous cycle.

Method and system for providing auto space management using virtuous cycle

Embodiments of the present disclosure provide for a method and system for storing content based on one or more attributes associated with the content. Specifically, the present disclosure provides for determining storage capabilities of one or more storage devices associated with a computing device and also determining a retention policy associated with the content. In certain embodiments, the retention policy is identified by the one or more attributes. When the retention policy and the capabilities of the one or more storage devices have been determined, the content is written to the one or more storage devices based on the retention policy.

Integrated data retention policy for solid state and asymmetric access

A technique and associated mechanism is described for registering event metadata at a first site, transferring the event metadata to a second site using a portable module, and processing the event metadata at the second site. A user can register the event metadata at the first site in the course of consuming broadcast content. Namely, when the user encounters an interesting portion of the broadcast content, the user activates an input mechanism, resulting in the storage of event metadata associated with the interesting portion on the portable module. The second site can upload the event metadata from the portable module and, in response, provide content associated with the event metadata, including recommended content associated with the event metadata.

Registering, transferring, and acting on event metadata

Methods and devices are provided for adapting an I/O pattern, with respect to a processing device using a non-volatile block storage device based on feedback from the non-volatile block storage device. The feedback may include information indicating a status of the non-volatile block storage device. In response to receiving the feedback, a storage subsystem, included in an operating system executing on processing device, may change a behavior with respect to the non-volatile block storage device in order to avoid, or reduce, a negative impact to the non-volatile block storage device or to enhance an aspect of the non-volatile block storage device. The feedback may include performance information and/or operating environmental information of the non-volatile block storage device. When the non-volatile block storage device is not capable of providing the feedback, the processing device may request information about the non-volatile block storage device from a database service.

Health reporting from non-volatile block storage device to processing device

Processes for identifying and recovering a lost transient storage device are provided. In some processes, information regarding the owner of the device is obtained. The device ownership information may be stored on a remote service with which the device is registered and/or may be stored on the device itself. In one process, the remote service provides the device with customized device-executable code when the device is registered. The device may also contain information regarding trusted systems. The process includes obtaining status information indicating whether a device is lost when the device is connected to a host system. In some processes, the status is determined by a remote service. In other processes, the status is determined by the device. If the device is lost then a device recovery plan is executed. Portions of a device recovery plan may be executed on the remote service, the host system, and/or the device.

Systems for finding a lost transient storage device

Power consumption of a device (e.g., flash storage driver, hard drive, etc.) connected to a host computer system is managed to promote efficient power usage and improved service. Communication between a host computer system (e.g., an operating system) and a device is enabled so that the host system can ascertain a power footprint of the device. Taking the power footprint of the device into consideration, along with the power consumption of the system as a whole (e.g., including the power consumption needs of other devices), a power manager can provide a power budget to the device based upon an informed decision. This allows for improved system power management through a coordination of the device's power consumption by the host system, specifically during operation allowing device performance to be enhanced for the task at hand.

Integrating energy budgets for power management

An access control device can be communicationally coupled to a storage device and can control access thereto. The access control device can comprise information, such as identities of authorized entities, to enable the access control device to independently determine whether to provide access to an associated storage device. Alternatively, the access control device can comprise information to establish a secure connection to an authorization computing device and the access control device can implement the decisions of the authorization computing device. The access control device can control access by instructing a storage device to execute specific firmware instructions to prevent meaningful responses to data storage related requests. The access control device can also comprise storage-related cryptographic information utilized by the storage device to encrypt and decrypt data. In such a case, the access control device can control access by not releasing the storage-related cryptographic information to the storage device.

Remote access control of storage devices

Providing for a paradigm shift in block-level abstraction for storage devices is described herein. At a block-level, storage is characterized as a variable size data record, rather than a fixed size sector. In some aspects, the variable size data record can comprise a variable binary key-data pair, for addressing and identifying a variable size block of data, and for dynamically specifying the size of such block in terms of data storage. By changing the key or data values, the location, identity or size of block-level storage can be modified. Data records can be passed to and from the storage device to facilitate operational commands over ranges of such records. Block-level data compression, space management and transactional operations are provided, mitigating a need of higher level systems to characterize underlying data storage for implementation of such operations.

Abstracting programmatic representation of data storage systems

Growing community of inventors

Bellevue, WA, United States of America

Vladimir Sadovsky