Microsoft Technology Licensing, LLC

Amazon Technologies, Inc.

Sumit Kumar

Brian C Beckman

Kenneth Paul Hinckley

Joseph H Matthews, Iii

Raman Kumar Sarin

Jae Pum Park

Emmanouil Koukoumidis

James Kai Yu Lau

Monica Estela Gonzalez Veron

Konstantinos Aisopos

Peter Sirota

George Steven McPherson

Murali Brahmadesam

Nachiappan Nagappan

Wesley Shawn Davis

Raman Mittal

Chetan Bansal

Ramesh Shankar

Thomas Michael Josef Zimmermann

Ankit Kamboj

Seungmin Wei

Sidharth Bajaj

Nikitha Rao

Manish Shetty Molahalli

Vignesh Natarajan

Shreyas Yagna

Crosbie Matthew Smith

Kevin Liu

Henry A Spang

Aadithya Chandramalle Gowda

Jared Alan Bergman

Tejal Borkar

Dmytro Sukhariev

Vageesh Kumar

Systems and methods for automatic recognition of entities related to cloud incidents are described. A method, implemented by at least one processor, for processing cloud incidents related information, including entity names and entity values associated with incidents having a potential to adversely impact products or services offered by a cloud service provider is provided. The method may include using at least one processor, processing the cloud incidents related information to convert at least words and symbols corresponding to a cloud incident into machine learning formatted data. The method may further include using a machine learning pipeline, processing at least a subset of the machine learning formatted data to recognize entity names and entity values associated with the cloud incident.

Automatic recognition of entities related to cloud incidents

Methods, systems, and computer-readable media for scalable job transformation and management are disclosed. A plurality of tasks expressed in a first format are received at a host. The tasks are associated with a shard identifier based at least in part on one or more criteria, and the tasks are acquired by the host based at least in part on the shard identifier. A subset of the tasks having a common characteristic are determined. The subset of the tasks are aggregated into a job expressed in a second format, where the job represents the subset of the tasks. The job is provided to a job manager, and the subset of the tasks are scheduled for processing using the job manager.

Scalable job transformation and management

Adaptive replication of changes may be performed for copies of a database. Log records may be generated and stored that correspond to changes to a database while a database is being copied. If the changes to be applied to a copy of the database is less than or equal to a threshold number of changes, then the copy of the database may be updated using the stored log records. If the changes to be applied to the copy of the database are greater than the threshold number of changes, then the copy of the database may be updated using data stored in the database.

Adaptive database replication for database copies

An application programming interface is provided that allows applications to request and receive distance measurements from multiple proximity sensors arranged on a computing device such as a smart phone or tablet. Users can input ranges of values to the applications by moving objects such as hands and fingers towards and away one or more of the multiple proximity sensors. Applications can use the ranges of values provided by the proximity sensors to allow for more nuanced and precise user interfaces than what is typically available using the binary output associated with a capacitive display. The values provided by the proximity sensors can be combined with values from one or more other sensors such as accelerometers to provide additional user interface options.

Proximity sensor-based interactions

An indication of an input data stream comprising data records, stored at a stream management service, that are to be batched for a computation at a batch-oriented data processing service is received. A set of data records of the input data stream are identified, based on respective sequence numbers associated with the records, for a particular iteration of the computation. Metadata associated with the particular iteration, comprising identification information associated with the set of records on which the computation is performed during the particular iteration, is saved in a repository.

Stream adapter for batch-oriented processing frameworks

The present disclosure relates to a mobile phone and a method for answering such a phone automatically without user input. In one embodiment, the mobile phone detects that a call is being received. A proximity sensor is then used to detect the presence of a nearby object. For example, this allows a determination to be made whether the mobile phone is within a pocket of the user while the phone is ringing. Then a determination is made whether the proximity sensor changes states. For example, if a user removes the phone from their pocket, the proximity sensor switches from detecting something proximal to detecting that the phone is no longer in the user's pocket. Next, a determination is made whether the proximity sensor is again next to an object, such as an ear. If so, the mobile phone can be automatically answered without further user input.

Automatic answering of a mobile phone

Growing community of inventors

Bellevue, WA, United States of America

Sumit Kumar