Palantir Technologies Inc.

Labelbox, Inc.

Kyle Owens

Nathaniel Edwards

Babak Siavoshy

Nikola Chonkov

Sintia Dotel

Randall Lin

Manu Sharma

Ryan Quinn

Brian Rieger

Dan Rasmuson

Connor Harwood

Daniel Berkowitz

Samuel Bond

A system is described for controlling access to resources using an object model. Users can specify use cases for accessing resources. The user may be granted access if the user satisfies qualifications required for accessing the resource, selected a use case permissible for accessing the resource, and satisfies qualifications required for the use case. Use cases, qualifications, resources, and/or links between them can be implemented using an object model. The system can be used in addition to authentication and authorization.

Controlling access to computer resources

Systems and methods for adaptive and transparent entity screening are provided. In an aspect, a first entity list comprising a plurality of first entity records is accessed. The first entity records comprise a plurality of first entity identifying attributes. A second entity list comprising a plurality of second entity records is also accessed, wherein the second entity records comprise a plurality of second entity identifying attributes. In certain aspects, an entity screening model pairs the first entity identifying attributes of the first entity record with the second entity identifying attributes of the second entity record, executes different matching algorithms on pairs of entity identifying attributes, and determines an overall likelihood that the pair of entity records are a match based on aggregation of match scores from the plurality of matching algorithms.

Adaptive and transparent entity screening

An automated content annotation workflow is disclosed. An example embodiment is configured for: registering a plurality of labelers to which annotation tasks are assigned; populating a labeling queue with content data to be annotated; assigning annotation tasks from the labeling queue to the plurality of labelers; enabling the plurality of labelers in an annotation review queue to modify or delete annotations applied by prior labelers; and evaluating a level of performance of the plurality of labelers in applying the annotations.

System and method for automated content annotation workflow

Aspects of the present disclosure relate to remote configuration of a computing machine. A deployment server receives a request specifying a software configuration and a hardware configuration for a computing machine. The deployment server identifies, out of a plurality of computing machines available for deployment, a specific computing machine meeting the hardware configuration. The deployment server configures the specific computing machine based on the software configuration. The deployment server provides an output indicating that the specific computing machine is configured according to the request.

Remote configuration of a machine

Growing community of inventors

San Francisco, CA, United States of America

Kyle Owens