Microsoft Technology Licensing, LLC

Linkedin Corporation

Google Inc.

Intelligent Fiber Optic Systems, Inc.

Apple Inc.

Oluma, Inc.

Jian H Li

Abhishek Gupta

Anmol Bhasin

Christian Posse

Yurong Shi

Jacob Kessler

Junghoon (Andrew) Ahn

Joerg Heilig

Shankar Ganesh

Jocelyn C Lin

Jesse Savage

Othman Laraki

John Fu

Sorin Jianu

Sundar Pichai

Ann Mei Chang

Yi He

Paul Xiaopeng Wang

Bo Pi

Alex Joseph Lehmann

Stephen E Dey

Chang Zhang

Madeleine S Cordier

Luis R Deliz Centeno

Shulai Zhao

Benjamin R Blachnitzky

Tianjia Sun

Lijiang Fang

Nicolai Philip Georg

Kun Jing

Michael Eric Deem

Yuhao Pan

Winnie C Wu

Xiaosong Yang

Ameya S Bhatawdekar

Michael B Taylor

Jonathan C Atler

Hongcheng Sun

Zheng Chen

Junghoon Andrew Ahn

Edward G Sheppard

Haoyong Zhang

Kevin Z Lo

Lilli Ing-Marie Jonsson

Shuang Peng

Ming Li

Minhazul Islam

Joon-Sup Han

Carl Schedvin

Alan Hebert

Sang E Lee

Karthik Subramanyam

Mauli Shah

Ge Wang

Lingwei Li

Robert Morse

Alhad A Palkar

Paul N DuMontelle

A system may include finger devices. A touch sensor may be mounted in a finger device housing to gather input from an external object as the object moves along an exterior surface of the housing. The touch sensor may include capacitive sensor electrodes. Sensors such as force sensors, ultrasonic sensors, inertial measurement units, optical sensors, and other components may be used in gathering finger input from a user. Finger input from a user may be used to manipulate virtual objects in a mixed reality or virtual reality environment while a haptic output device in a finger device provides associated haptic output. A user may interact with real-world objects while computer-generated content is overlaid over some or all of the objects. Object rotations and other movements may be converted into input for a mixed reality or virtual reality system using force measurements or other sensors measurements made with the finger devices.

Computer systems with finger devices

An anomaly detection system that performs data aggregation against user-defined subsets of multiple variable columns within an aggregation table. Various embodiments enable users to generate rules by defining values for user-defined subsets of variables of an aggregation table that is used to deploy numerous other rules. Thus, if an aggregation table includes hundreds of columns each associated with discrete variables, a user may generate rules for aggregating data into specific variable columns of the aggregation table rather than into all of the hundreds of variable columns. The user may also define a sliding time window for the rule to be applied against and to set an occurrence threshold for the user-defined sliding time window. When a rule is triggered, the anomaly detection system may automatically generate a post-analysis table by preemptively and selectively populating the post-analysis table with values of event data indicated by a cardinality threshold and/or filter parameters.

Enhanced data aggregation techniques for anomaly detection and analysis

Entity pages are created that are optimized for search engines to return entity information from the entity pages in response to search queries. An entity page may be created for an entity by identifying electronic content sources that include data about the entity. Usage data indicative of how users have consumed data at the electronic content sources is also determined. The usage data is analyzed to identify topics for the entity and topic content is retrieved from the electronic content sources to create topic summaries. An entity page with the topics summaries is generated. When a search engine receives a search query related to the entity, the search engine may provide information from the entity page in response to the search query.

Entity page generation and entity related searching

Disclosed in some examples are methods, systems and machine readable medium for recommending an out-of-network communication by determining a set of potential recommended members of a social networking service based upon one or more recommendation criteria. In some examples the recommendation criteria may include: a profile similarity to a previous target of an out-of-network communication, a degree of correspondence between an interest and intent of the sending member, and a likelihood of response.

Suggested out of network communication recipients

Systems and techniques to provide for software installation. In general, in one implementation, the technique includes detecting selection of one or more applications by a user; creating a manifest for the one or more applications, the manifest including a reference to the one or more applications and a reference to one or more installers, where each of the one or more applications is associated with a unique one of the one or more installers; and providing the manifest to a target system where each of the one or more applications can be installed, none of the applications or installers being provided in the manifest.

Common installer server

Data stored in relational databases can be retrieved using a relational database query language, while data stored in a multidimensional database is typically retrieved using a multidimensional database query language. However, most users do not have a functional working knowledge of multidimensional database query languages, which leaves large amounts of data inaccessible. Further, while some relational database query languages may be translated into a multidimensional database language, the information generated by such translations is often unusable, or returns large numbers of errors. In order to obtain effective translation of a relational database query language to a multidimensional database query language effective translation and filtering needs to occur. Using effective mapping and retrieval of database metadata along with effective, customizable business logic filtering of query components, more effective and reliable results may be achieved.

Translating a relational query to a multidimensional query

Systems and techniques to provide for software installation. In general, in one implementation, the technique includes receiving a manifest, the manifest including a reference to one or more applications to be installed, obtaining an installer associated with an application, and using the associated installer to install the application on a target system, the application and the associated installer not being provided in the manifest.

Common installer client

Various embodiments of the present invention are directed to a storage platform comprising: a data store in which data stored therein is defined in terms of items, elements, and relationships, wherein an item is a unit of data storable in the data store and comprises one or more elements, an element is an instance of a type comprising one or more fields, and a relationship is a link between at least two items; a set of schemas that define different types of items, elements, and relationships; and an application programming interface comprising a class for each of the different items, elements, and relationships defined in the set of schemas. Data may also be stored in the data store in the form of an extension to an existing item type, and wherein the application programming interface comprises a class for each different item extension.

Systems and methods for interfacing application programs with an item-based storage platform

Integrated fiber tap monitors with variable optical attenuators where light from an input fiber is reflected to the output fiber and a tap is generated from measuring transmission at the reflection.

Integrated fiber tap monitor with variable optical attenuator

Fiber tap monitors formed on side-polished fiber coupling ports based on evanescent coupling.

Fiber tap monitor based on evanescent coupling

Growing community of inventors

Bellevue, WA, United States of America

Jian H Li