Microsoft Technology Licensing, LLC

Sean Gormley T Kelley

Benjamin Gustav Wilde

Ransom Lloyd Richardson

Aleksandr Polyakov

Michael Adam Scarpati

Natalie Ann Mionis

Jenna Hong

Abhishek Uday Kumar Shah

Lucas Rosenblatt

Courtney Sarah Cochrane

Anish Yatin Pimpley

Yang He

Wee Hyong Tok

Jichen Yang

Andrea Treviño Gavito

Yanjie He

Abhijith Asok

Yiquan Xu

Amit Dinesh Gupte

A method for recommending a computer hardware configuration, including: receiving, by a processor, a machine-readable specification of a computing task; extracting, by the processor, a plurality of features from the machine-readable specification of the computing task; supplying, by the processor, the plurality of features to a reinforcement learning model to generate a proposed computer hardware configuration to execute the computing task; and providing, by the processor, the proposed computer hardware configuration to a user.

Automatic selection of computer hardware configuration for data processing pipelines

The disclosed technology is generally directed to the conversion of text to tables. In one example of the technology, input text that includes at least three rows is received. A plurality of characteristics of the input text is determined. Each characteristic of the plurality of characteristics is associated with a uniformity between the rows of the input text. The plurality of characteristics includes at least one characteristic that is associated with a delimiter count. A determination is made as to whether the input text is suitable for conversion to table based on the plurality of characteristics. Upon determining that the input text is suitable for conversion to a table, a machine learning model is used to convert the input text into a table.

Intelligent table suggestion and conversion for text

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Boston, MA, United States of America

Sean Gormley T Kelley