Figma, Inc.

Memsql, Inc.

Impira Inc.

Michael Adam Andrews

Ankur Goyal

Andrew John Paroski

Eric Norman Hanson

Richard Vaughan Stebbing

Lawrence Wang Zhang

Richard Stebbing

Thomas Goodings Swartz

A technique for providing real time feedback from a machine learning system is provided that includes a method and system for interactively training machine learning models. In particular, by separating processing and analysis using static and dynamic models that are trained differently, the disclosed technique enables interactive training and prediction of machine learning models to increase the speed of generating new predictions based on real time feedback. In some cases, a dynamic model is applied to the output of a static model to generate an analysis, a correction of the analysis is received, and the correction is used to retrain the dynamic model. An updated analysis is generated based on reapplying the dynamic model to the output of the static model without having to retrain the static model.

Real time feedback from a machine learning system

A method includes receiving a user-defined extension configured to operate on data from a content database and comprising code expressed in a first programming language, the user-defined extension comprising at least one unresolved object and a function calling the at least one unresolved object. On a first pass through the user-defined extension code, each respective unresolved object is bound to a respective placeholder object such that the function calls each respective placeholder object and each respective placeholder object is mapped to the respective unresolved object, and delaying evaluation of the user-defined extension code until a second pass through the user-defined extension code. On the second pass, machine code corresponding to a compiled version of the user-defined extension is obtained by sequentially obtaining machine code for each respective unresolved object as each respective placeholder is called in the function. A related system and non-transitory computer-readable medium are also provided.

Extensibility in a database system

A technique for running queries is provided that includes a method and system for managing unstructured data and for capturing uncertain relationships between pieces of data. A structural schema is generated from unstructured data that is configured to evolve in response to user input and incoming data that is changing over the course of an application. The schema is also configured to capture relationships between data that are uncertain or difficult for a person to capture in a consistent or comprehensive manner. The technique is especially advantageous for running and returning meaningful responses to queries that require an ability to connect pieces of data received from unstructured data or disparate sources, including user input, or where the query is directed to information that is uncertain or was not anticipated as useful or relevant at the time the data containing the information was originally received.

Database for unstructured data

Growing community of inventors

San Francisco, CA, United States of America

Michael Adam Andrews