Microsoft Technology Licensing, LLC

Fei Chen

Feng Guo

Qi He

Jaewon Yang

Baoxu Shi

Peide Zhong

Raymond Kirk Price

Joel Steven Kollin

Bernard Charles Kress

Joshua Owen Miller

Wyatt Owen Davis

Zhangwei Xu

Martin D Hall

Mark James McNulty

Yarn Chee Poon

Ishan Chatterjee

Dan Shacham

Utku Baran

Martin Holladay

Maria Esther Pace

Scott Woltman

Joel Daniel Young

Ricardo Lopez-Barquilla

Ji Yan

Guruprakash Rao

Mustafa Emre Kazdagli

Xiaofeng Gao

Shan Li

Songxiang Gu

Xuebin Yan

Chang-Ming Tsai

Angie Zhu

Shuai Wang

Andris Birkmanis

Feishe Chen

Weizhi Meng

Wei Kang

Examples are disclosed that relate to compact optical systems comprising SLMs. One example provides a projection system comprising an illumination stage including a light emitting diode (LED) array. The LED array comprises a plurality of red LEDs, a plurality of green LEDs, and a plurality of blue LEDs. The illumination stage further comprises an illumination stage optical system configured to control an angular extent of light emitted by the LED array and homogenize the light emitted by the LED array. The projection system further comprises an image forming stage configured to form an image from light output by the illumination stage, the image forming stage comprising a spatial light modulator (SLM) configured to spatially modulate the light output by the illumination stage to form an image, and one or more projection optics configured to project the image formed by the spatial light modulator.

Illuminating spatial light modulator with LED array

Described herein is a technique for mapping the raw text of a job title of an online job posting to an entity embedding, associated with an entity or entry of a title taxonomy. The raw text of the job title is first encoded to generate a multilingual word embedding in a multilingual word embedding space. Then, the vector representation of the job title, as represented in the multilingual word embedding space is translated, using a neural network, to a vector representation of the job title in the entity embedding space. Finally, a nearest neighbor search is performed to identify an entity embedding associated with an entity or entry in the title taxonomy that has a vector representation that is closest in distance to the vector output by the neural network.

Techniques for improving standardized data accuracy

Examples are disclosed that relate to pixel-shifting devices for increasing display resolution. An example pixel-shifting device comprises an outer frame, an inner frame coupled to the outer frame via a flexure, a path-shifting optical element mounted to the inner frame, and one or more piezoelectric actuators configured to drive motion of the inner frame.

Pixel shifting device

In an example embodiment, a screening question-based online screening mechanism is provided to assess job applicants automatically. More specifically, job-specific questions are automatically generated and asked to applicants to assess the applicants using the answers they provide. Answers to these questions are more recent than facts contained in a user profile and thus are more reliable measures of an appropriateness of an applicant's skills for a particular job.

Machine learned model framework for screening question generation

Techniques are provided for using machine learning techniques to analyze textual content. In one technique, a potential item is identified within a document. An analysis of the potential item is performed at multiple levels of granularity that includes two or more of a sentence level, a segment level, or a document level. The analysis produces multiple outputs, one for each level of granularity in the multiple levels of granularity. The outputs are input into a machine-learned model to generate a score for the potential item. Based on the score, the potential item is presented on a computing device. In response to user selection of the potential item, an association between the potential item and the document is created. The association may be used later to identify a set of users to which the document (or data thereof) is to be presented.

Machine learning techniques for analyzing textual content

During operation, the system obtains a first embedding produced by an embedding model from an input string representing an entity and a hierarchy of clusters of embeddings generated by the embedding model from a set of standardized entities. Next, the system searches the hierarchy of clusters for a subset of the embeddings that are within a threshold proximity to the first embedding in a vector space. The system then calculates embedding match scores between the input string and a first subset of the standardized entities represented by the subset of the embeddings based on distances between the subset of the embeddings and the first embedding in the vector space. Finally, the system modifies, based on the embedding match scores, content outputted in response to the input string within a user interface of an online system.

Semantic matching and retrieval of standardized entities

The disclosed embodiments provide a system for processing data. During operation, the system obtains a function call for a function that calculates an attribute associated with a machine learning model. For each argument of the function call, the system identifies a parameter type of the argument, wherein the parameter type represents a type of data used with the machine learning model. The system also obtains a value accessor for retrieving features specific to the parameter type and obtains a value represented by the argument using the value accessor. The system then calculates the attribute by applying the function to the value and uses the attribute to execute the machine learning model.

Unified parameter and feature access in machine learning models

Techniques for improving laser image quality are disclosed herein. An ultra-compact illumination module includes multiple illuminators, photodetectors, and color filters. The illuminators each emit a different spectrum of light. Because of the compact nature of the module and the positioning of the illuminators relative to one another, the different spectrums of light overlap one another prior to being detected by the photodetectors. Each of the photodetectors is associated with a corresponding one of the illuminators, and each of the color filters is associated with a corresponding one of the photodetectors. Each color filter is positioned in-between its corresponding illuminator and photodetector and passes a particular spectrum of light while filtering out other spectrums of light. Consequently, the photodetectors each receive spectrally filtered light having passed through at least one of the color filters. The power output of the illuminators can also be corrected based on output from the photodetectors.

Monitoring and correction system for improved laser display systems

A display system for presenting visual information to a user includes a fast scan mirror, a slow scan mirror, and anamorphic relay optics positioned optically between the fast scan mirror and slow scan mirror. The fast scan mirror has a fast scan arc in a scan direction of a display light provided by a light source. The slow scan mirror has a slow scan arc in a cross-scan direction of the display light that is perpendicular to the scan direction. The anamorphic relay optics are configured to magnify the display light in the cross-scan direction.

Systems and methods of increasing pupil size in a display system

Embodiments related to network video messaging are disclosed. One disclosed embodiment provides a method that comprises receiving a video message from a client application of a source client; associating a navigation link with the video message; transmitting a notification message to the recipient client including the navigation link; receiving a retrieval request from the recipient client to access the video content via the navigation link; and transmitting the video content to the recipient client responsive to receiving the retrieval request by providing a persistent download of the video content from the storage server if the download condition indicates that a persistent download of the video content is permissible; and providing a transient download of the video content to the recipient client while prohibiting a persistent download of the video content if the download condition indicates that a persistent download of the video content is not permissible.

Network video messaging

Growing community of inventors

Saratoga, CA, United States of America

Fei Chen